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Industrial Engineering & Operations Research Masters Theses Collection

Theses from 2023 2023.

Mining High Impact Combinations of Conditions from the Medical Expenditure Panel Survey , Arjun Mohan, Industrial Engineering & Operations Research

Theses from 2022 2022

Systematic Review of Driver Distraction in the Context of Advanced Driver Assistance Systems (ADAS) & Automated Driving Systems (ADS) , Apoorva Pramod Hungund, Industrial Engineering & Operations Research

Theses from 2021 2021

Comparing and Improving the Design of Physical Activity Data Visualizations , Peter M. Frackleton, Industrial Engineering & Operations Research

Robustness of Supply Chain Synchronization Strategies , Andrew Frere, Industrial Engineering & Operations Research

Theses from 2020 2020

Optimal Mammography Schedule Estimates Under Varying Disease Burden, Infrastructure Availability, and Other Cause Mortality: A Comparative Analyses of Six Low- and Middle- Income Countries , Shifali Shifali, Industrial Engineering & Operations Research

Theses from 2019 2019

ADVANCED VIRTUAL REALITY HEADSET BASED TRAINING TO IMPROVE YOUNG DRIVERS’ LATENT HAZARD ANTICIPATION ABILITY , Ravi Agrawal, Industrial Engineering & Operations Research

THE EVACUATION PROBLEM IN MULTI-STORY BUILDINGS , Quang Hong Cung, Industrial Engineering & Operations Research

MARKOV DECISION PROCESS APPROACH TO STRATEGIZE NATIONAL BREAST CANCER SCREENING POLICY IN DATA-LIMITED SETTINGS , Vijeta Deshpande, Industrial Engineering & Operations Research

A Computational Simulation Model for Predicting Infectious Disease Spread using the Evolving Contact Network Algorithm , Buyannemekh Munkhbat, Industrial Engineering & Operations Research

Effects of Task Load on Situational Awareness During Rear-End Crash Scenarios - A Simulator Study , Rajiv Nair, Industrial Engineering & Operations Research

Theses from 2018 2018

Does the Elicitation Mode Matter? Comparing Different Methods for Eliciting Expert Judgement , Claire Cruickshank, Industrial Engineering & Operations Research

The Application of Usability Engineering Methods to Evaluate and Improve a Clinical Decision Support System , Kristine DeSotto, Industrial Engineering & Operations Research

Evaluation and Validation of Distraction Detection Algorithms on Multiple Data Sources , Shashank Mehrotra, Industrial Engineering & Operations Research

Impact of Perceptual Speed Calming Curve Countermeasures On Drivers’ Anticipation & Mitigation Ability – A Driving Simulator Study , Krishna Valluru, Industrial Engineering & Operations Research

Theses from 2017 2017

Explorations into Machine Learning Techniques for Precipitation Nowcasting , Aditya Nagarajan, Industrial Engineering & Operations Research

Theses from 2016 2016

Simulation of 48-Hour Queue Dynamics for A Semi-Private Hospital Ward Considering Blocked Beds , Wei Chen, Industrial Engineering & Operations Research

Strategies for Reducing Supplier Risk: Inputs into the Supply Chain , Christopher A. Greene, Industrial Engineering & Operations Research

Aircraft Demand Forecasting , Kayla M. Monahan, Industrial Engineering & Operations Research

Theses from 2015 2015

Evaluation of a Training Program (STRAP) Designed to Decrease Young Drivers Secondary Task Engagement in High Risk Scenarios , Akhilesh Krishnan, Industrial Engineering & Operations Research

Theses from 2014 2014

Delivery Performance Prediction Tool for Complex Assembly Systems , Faried D. Beladi, Industrial Engineering & Operations Research

Investigating Teenage Drivers' Driving Behavior before and after LAG (Less Aggressive Goals) Training Program , Jingyi Zhang, Industrial Engineering & Operations Research

Theses from 2013 2013

Endogenous Technological Change In The Dice Integrated Assessment Model , Robert W. Barron, Industrial Engineering & Operations Research

Factors Which Influence Key Entry Speed On Hard and Soft Keyboards: Experience, Eye Behaviors and Finger Movements , Seckin Celik, Industrial Engineering & Operations Research

Comparing the Present U.S. Electricity Grid to a Smart Grid System , Charthamkudath Jubith Sadanandan, Industrial Engineering & Operations Research

Using Computer Simulation to Study Hospital Admission and Discharge Processes , Edwin S. Kim, Industrial Engineering & Operations Research

An Evaluation of Methods to Assess Whether Health Information Technology-Based Tools Improve Weight Loss Measures in Bariatric Surgery Patients , Jocelyn R. Morgan, Industrial Engineering & Operations Research

Effects of Different Methods of Aggregation of Probabilities on the R&d Investment Portfolio for Optimal Emissions Abatement: An Empirical Evaluation , Olaitan P. Olaleye, Industrial Engineering & Operations Research

Water Plans and Climate Change Plans in the Northeast and the Southwest , An Pham, Industrial Engineering & Operations Research

Theses from 2012 2012

The Process by which Physicians Extract Information from Electronic Progress Notes During Handoffs , Brian D. Amster, Industrial Engineering & Operations Research

Dynamic Capacity Allocation in Primary Care with Physician Flexibility , Sebastian S. Biehl, Industrial Engineering & Operations Research

Impacts of Solar Grid Integration Issues on the Optimal Energy R&d Portfolio for Climate Change , Noubara Djimadoumbaye, Industrial Engineering & Operations Research

Using Discrete Event Simulation to Evaluate the Impact of Adding a Fast Track Section to a Crowded Emergency Department , Yan Jin, Industrial Engineering & Operations Research

The Economic Impacts of Technical Change in Carbon Capture , Peter G. Rasmussen, Industrial Engineering & Operations Research

Optimizing the Safety Stock Inventory Cost Under Target Service Level Constraints , Chetan T. Shivsharan, Industrial Engineering & Operations Research

Development of a Cost Minimizing Strategy to Mitigate Bird Mortalities in a Wind Farm , Karamvir Singh, Industrial Engineering & Operations Research

Theses from 2011 2011

The Effect of External Distractions on Novice and Experienced Drivers' Anticipation of Hazards and Vehicle Control , Gautam Divekar, Industrial Engineering & Operations Research

Methods to Study Nurses’ Visual Scanning Patterns during the Medication Administration Process , Ze He, Industrial Engineering & Operations Research

Reverse Logistics Network Design for Electric Vehicle Batteries , Tilman Schnellenpfeil, Industrial Engineering & Operations Research

Theses from 2010 2010

Electronic Falls Reporting System Implementation: Evaluating Data Collection Methods and Studying User Acceptance , Yi You Mei, Industrial Engineering & Operations Research

Electric Power Market Modeling with Multi-Agent Reinforcement Learning , Nathanael K. Miksis, Industrial Engineering & Operations Research

A Stochastic R&d Portfolio Model under Climate Uncertainty , Yiming Peng, Industrial Engineering & Operations Research

Optimal Energy R&d Portfolio Decision Making under Climate Change Uncertainty , Georg Schorpp, Industrial Engineering & Operations Research

Evaluation of an Eye Tracking Device to Increase Error Recovery by Nursing Students Using Human Patient Simulation , Yan Shen, Industrial Engineering & Operations Research

The Impact of Flexibility And Capacity Allocation On The Performance of Primary Care Practices , Liang Wang, Industrial Engineering & Operations Research

Theses from 2009 2009

A Discrete Event Simulation Approach to Resource Management, Process Changes And Task Prioritization in Emergency Departments , Ekkehard C. Beck, Industrial Engineering & Operations Research

Development of a Decision Tool for Green Energy Investment in the Pioneer Valley , Benjamin R. Ewing, Industrial Engineering & Operations Research

Physician Flexibility in Primary Care Practices , Jan T. Hippchen, Industrial Engineering & Operations Research

Optimal Acquisition and Sorting Policies for Remanufacturing over single and Multiple Periods , Yihao Lu, Industrial Engineering & Operations Research

Theses from 2008 2008

Evaluation of a Simulator Based, Novice Driver Risk Awareness Training Program , Frank Diete, Industrial Engineering & Operations Research

The Effect of Price Postponement on the Coordination of a Two Stage Supply Chain Facing Consumer Returns , Thomas Lenk, Industrial Engineering & Operations Research

Impacts Of Asymmetric Decision Policies And Consumer Behavior On Supply Chain Coordination Under Consumer Returns , Harald Schmid, Industrial Engineering & Operations Research

Theses from 2007 2007

Agent Based Modeling of Electronic Markets To Analyze the Sustainability of Mutual Cooperation , Ravindra R. Lote, Industrial Engineering & Operations Research

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Industrial Engineering Dissertations Collection

http://hdl.handle.net/2047/D20233341

Adaptive queue management for healthcare operations

An agent-based network theoretical approach to a complex adaptive computer manufacturing enterprise ecosystem

Analysis and modification of mutual information-based feature selection methods regarding data imbalance and incompleteness

Analysis and prediction of emotions using human-robot and driver-vehicle interactions

Analytic for data-driven decision-making in complex high-dimensional time-to-event data

Analytic models for effective planning for response to sudden disruptions

Anesthesiologist and nurse anesthetist (CRNA) assignment on the day of surgery

Applications in shared and crowdsourced last-mile delivery

Appointment scheduling and capacity planning in primary care clinics

Artificial intelligence to enable smart prognostics and health management of manufacturing systems for industry 4.0

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Industrial and Enterprise Systems Engineering Research Resources: Dissertations & Theses

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As part of the requirements for graduate level degrees, students must complete a thesis for a Master's degree and/or dissertation for a Ph.D. Dissertations and theses are submitted to the academic department and the Graduate College and are made available through the University Library. Since 2010, all theses and dissertations are electronically deposited into IDEALS, the Illinois Digital Environment for Access to Learning and Scholarship, the University's open repository of scholarly content.

ProQuest Dissertations is a comprehensive collection of citations to dissertations and theses worldwide from 1861 to the present day. Full text PDFs are available for many Ph.D. dissertations added since 1997 and some older graduate works.

  • IDEALS (UIUC Institutional Repository) Digital copies of theses, data sets, and publications by University of Illinois at Urbana-Champaign faculty and students.
  • ProQuest Dissertations and Theses PDF copies of dissertations and theses from U.S. universities.

Industrial & Enterprise Systems Engineering Dissertations & Theses

  • Industrial & Enterprise Systems Engineering Dissertations & Theses Search Interface

Print Dissertations &Theses

Prior to 2010, print format dissertations and theses were bound and cataloged separately for the Grainger Engineering Library. Prior to 1983, each thesis was shelved by a call number assigned by subject headings. To locate them, search the online catalog for the author’s last name, title word(s) if known, and “theses” and the year granted as subject term(s).

Industrial and Enterprise Systems Engineering dissertations and theses granted from 1985 to 1999 were assigned Q.629.1Ta, followed by the 2-number year, followed by starting letters from the author’s last name. (Example: A 1991 thesis by M. Doyle would be Q.629.1Ta91D). Dissertations and theses granted from 2000 to present were assigned Q.629.1Tb, followed by the 2-number year, followed by starting letters from the author’s last name. (Example: A 2006 thesis by H. Dewey would be Q.629.1Tb06De).

Industrial and Enterprise Systems Engineering - Q. 620Tc

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Industrial and Management Systems Engineering Theses and Dissertations

Theses/dissertations from 2023 2023.

Knowledge Integration in Domain-Informed Machine Learning and Multi-scale Modeling of Nonlinear Dynamics in Complex Systems , Phat K. Huynh

Theses/Dissertations from 2022 2022

Stochastic Models for Resilience Assessment and Improvement , Weimar Ardila Rueda

Theses/Dissertations from 2021 2021

Analysis and Modeling of Strategic Interactions in Health Systems to Improve Patient Care Access , Jorge A. Acuña Melo

Optimization and Machine Learning Methods for Solving Combinatorial Problems in Urban Transportation , Aigerim Bogyrbayeva

Maximum Multiplicative Programming: Theory, Algorithms, and Applications , Payman Ghasemi Saghand

Theory and Algorithms for Systems Optimization , Vahid Mahmoodian

Strategies for Achieving the United States Health System's Quadruple Aim by Enhancing the Primary Care Level , Jennifer L. Mendoza-Alonzo

Healthcare Data Analytics for Predicting Health Outcomes of Older Adults and Emergency Responses of Aged Care Facilities , Nazmus Sakib

Heterogeneous Performance Modeling with Applications in Healthcare and Reliability Engineering , Xuxue Sun

Data-Informed Decision Support to Improve Pediatric and Maternal Care Quality Under Medicaid Managed Care Settings , Hasan Symum

Infectious Disease Modeling and Intervention Planning , Shalome Hanisha Anand Tatapudi

Theses/Dissertations from 2020 2020

Efficient Neural Architecture Search with Multiobjective Evolutionary Optimization , Maria Gabriela Baldeón Calisto

Some Recent Advances in Design of Bayesian Binomial Reliability Demonstration Tests , Suiyao Chen

The Utilization of Shared Energy Storage in Energy Systems: Design, Modeling and Optimization , Rui Dai

Using Optimization Methods for Solving Problems in Sustainable Urban Mobility and Conservation Planning , Zulqarnain Haider

On the Convergence of Transportation and Power Systems in Smart and Connected Communities , Kevin A. Melendez

Game Theory Approaches for Transportation Problems , Mahdi Takalloo

Identification of Patterns and Disruptions in Ambient Sensor Data from Private Homes , Yan Wang

Theses/Dissertations from 2019 2019

Algorithms for Multi-Objective Mixed Integer Programming Problems , Alvaro Miguel Sierra Altamiranda

Dynamic Pricing of Electricity and Demand Response in Smart Communities , Vignesh Subramanian

Routing and Designing Networks for Two Transportation Problems , Liu Su

Theses/Dissertations from 2018 2018

Statistical Monitoring of Queuing Networks , Yaren Bilge Kaya

Physical and Social Systems Resilience Assessment and Optimization , Daniel Romero Rodriguez

Theses/Dissertations from 2017 2017

Strategies for Reducing Preventable Hospital Readmissions on Medicare Patients , Andres Patricio Garcia-Arce

Improving Service Level of Free-Floating Bike Sharing Systems , Aritra Pal

Analysis of a Potential A(H7N9) Influenza Pandemic Outbreak in the U.S. , Walter A. Silva Sotillo

Decision Support Models for A Few Critical Problems in Transportation System Design and Operations , Ran Zhang

Theses/Dissertations from 2016 2016

Mining Dynamic Recurrences in Nonlinear and Nonstationary Systems for Feature Extraction, Process Monitoring and Fault Diagnosis , Yun Chen

Renewable Energy Investment Planning and Policy Design , Alireza Ghalebani

Rule-based Risk Monitoring Systems for Complex Datasets , Mona Haghighi

Theses/Dissertations from 2015 2015

Achieving Reliable Generation \& Delivery of Energy Through Robust Optimization , Anna Danandeh

Analysis of Carbon Policies for Electricity Networks with High Penetration of Green Generation , Felipe Feijoo

Modeling Intrastate Air Travel: A Case Study of the State of Florida , Kai Liao

Spatiotemporal Sensing and Informatics for Complex Systems Monitoring, Fault Identification and Root Cause Diagnostics , Gang Liu

Patient Populations, Clinical Associations, and System Efficiency in Healthcare Delivery System , Yazhuo Liu

Informing the Design and Deployment of Health Information Technology to Improve Care Coordination , Diego A. Martinez

Reliable Power System Planning and Operations through Robust Optimization , Wei Yuan

Theses/Dissertations from 2014 2014

Reliable Design and Operations of Infrastructure Systems , Yu An

Social Network Analysis of Researchers' Communication and Collaborative Networks Using Self-reported Data , Oguz Cimenler

Automated Localization and Segmentation of Pelvic Floor Structures on MRI to Predict Pelvic Organ Prolapse , Sinan Onal

Antiviral Resistance and Dynamic Treatment and Chemoprophylaxis of Pandemic Influenza , Sandro Paz

Statistical and Prognostic Modeling of Clinical Outcomes with Complex Physiologic Data , Monica A. Puertas

A Decision Support Model for Personalized Cancer Treatment , Florentino Antonio Rico-Fontalvo

Novel Models and Efficient Algorithms for Network-based Optimization in Biomedical Applications , Seyed Javad Sajjadi

Theses/Dissertations from 2013 2013

The Impact of Organizations' Collaboration Strategies and Alliance Network Positions on Invention Performance , Fethullah Caliskan

A Methodology for Scheduling Operating Rooms Under Uncertainty , Marbelly Paola Davila

Location and Capacity Modeling of Network Interchanges , Aldo D. Fabregas

Classification Models in Clinical Decision Making , Eleazar Gil-Herrera

Supply Chain Optimization of Blood Products , Serkan Gunpinar

Predicting the Clinical Outcome in Patients with Traumatic Brain Injury using Clinical Pathway Scores , Jennifer Lorena Mendoza Alonzo

Novel Models and Algorithms for Uncertainty Management in Power Systems , Long Zhao

Theses/Dissertations from 2012 2012

Extensions of Multistage Stochastic Optimization with Applications in Energy and Healthcare , Ludwig Charlemagne Kuznia

Non-pharmaceutical Intervention Strategies for Pandemic Influenza Outbreaks , Dayna Lee Martinez

Theses/Dissertations from 2011 2011

The Impact of Pharmacy Work Design on Pharmacist Productivity , Nicholas Allen Coblio

Analytical Methods to Support Risk Identification and Analysis in Healthcare Systems , Laila Nadime Cure Vellojin

Engineering of a Knowledge Management System for Relational Medical Diagnosis , Maria Carolina Herrera-Hernandez

Decision Support Models for Design of Fortified Distribution Networks , Qingwei Li

The Impact of Supply Chain and Network Structure on the Environmental Performance of Sustainability-Focused Companies , Ozan Ozcan

Modeling and Surveillance of Pandemic Influenza Outbreaks , Diana Prieto

Cap-and-Trade Modeling and Analysis for Electric Power Generation Systems , Patricio Rocha

Decision Aid Models for Resource Sharing Strategies During Global Influenza Pandemics , Alfredo Santana Reynoso

Identification of Patient Recovery Patterns after Cardiovascular Surgery Based on Laboratory Tests Results , Alcides Ricardo Santander Mercado

Theses/Dissertations from 2010 2010

Three Essays on Analytical Models to Improve Early Detection of Cancer , Chaitra Gopalappa

Design of a New Suturing and Knot Tying Device for Laparoscopic Surgery , Sinan Onal

A Framework for Determining the Reliability of Nanoscale Metallic Oxide Semiconductor (MOS) Devices , Wilkistar Otieno

Modeling and Analysis of Cooperative Search Systems , Carlos A. Portilla

Optimal Discrete-in-Time Inventory Control of a Single Deteriorating Product with Partial Backlogging , Yang Tan

Analysis of Stochastic Disruptions to Support Design of Capacitated Engineered Networks , Andrés Fernando Uribe-Sánchez

Theses/Dissertations from 2009 2009

Development of a Framework to Identify Patient Pathways through a Segment of the Health Care Cycle , Abhik Bhattacharya

A Computational Kinematics and Evolutionary Approach to Model Molecular Flexibility for Bionanotechnology , Athina N. Brintaki

Nanostructure morphology variation modeling and estimation for nanomanufacturing process yield improvement , Gang Liu

Generation capacity expansion in restructured energy markets , Vishnuteja Nanduri

A framework for resource assignments in skill-based environments , Luis Daniel Otero

Loyalty of online faculty: A work design perspective of the impact of a telecommuting work environment on employee loyalty , Kenneth N. Pereira

Emergency department capacity planning for a pandemic scenario: Nurse allocation , Florentino Antonio Rico

Physical and Statistical Analysis of Functional Process Variables for Process Control in Semiconductor Manufacturing , Xi Zhang

Theses/Dissertations from 2008 2008

Manufacturing Process Design and Control Based on Error Equivalence Methodology , Shaoqiang Chen

Fate of Volatile Chemicals during Accretion on Wet-Growing Hail , Ryan A. Michael

Automatic Generation of PLC Code Based on Net Condition Event Systems , Natalia Sandberg

Control of Autonomous Robot Teams in Industrial Applications , Athanasios Tsalatsanis

Discrete Event System Modeling Of Demand Responsive Transportation Systems Operating In Real Time , Daniel Y. Yankov

Theses/Dissertations from 2007 2007

Equilibrium Bidding in Joint Transmission and Energy Markets , Cihan Babayigit

A Dynamic Inventory/Maintenance Model , Jonathan J. Bates

A Comparative Study of Healthcare Procurement Models , Arka Bhattacharya

Organizational Form of Disease Management Programs: A Transaction Cost Analysis , Nahush Chandaver

The Validation of a Methodology for Assessing the Impact of Hybrid Simulation Training in the Minimization of Adverse Outcomes in Surgery , Peter J. Fabri

Investigation into workplace culture for medication error reporting in pharmacy , Tamala Lavelle Gulley

Evaluation of the Supply Chain of Key Industrial Sectors and its Impact on the Electricity Demand for a Regional Distribution Company , Thiago Arruda Mariotoni

Defining service quality in an outpatient clinic with complex constituency , Swati Verma

Error equivalence theory for manufacturing process control , Hui Wang

Theses/Dissertations from 2006 2006

Continuous time disaggregation in hierarchical production planning , Rami Salhab Al-Tamimi

Lean manufacturers transcendence to green manufacturing: Correlating the diffusion of lean and green manufacturing systems , Gary G. Bergmiller

Product design: A conceptual development of product remanufacturing index , Swapnil B. Dixit

Multi-criteria decision making in outpatient scheduling , Jana Iezzi

Access to public transportation: An exploration of the National Household Travel Survey appended data , Edward Maggio

Revenue management techniques applied to the parking industry , Daniel Rojas

An AHP framework for balancing efficiency and equity in the United States liver transplantation system , Vijayachandran M. Veerachandran

Theses/Dissertations from 2005 2005

Strategies for Incident Management in an Urban Street Network , Vikramaditya Bhide

A Generalized Decision Model for Naval Weapon Procurement: Multi-Attribute Decision Making , Jin O. Chang

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Industrial engineering optimizes production processes by focusing on process integration, minimizing resource consumption, reducing waste, and enhancing overall efficiency . This optimization involves utilizing modern trends like lean manufacturing and Industry 4.0 to improve production capacities, streamline processes, and control costs effectively . Techniques such as mathematical modeling, computational methods, and simulation play crucial roles in identifying targets, maximizing performance, and minimizing environmental impacts in industrial processes . Additionally, digital models and advanced technologies like AI and edge computing are employed to collect and analyze data for optimizing parameters such as spindle rotation velocity and cutting speed in machining processes . By combining these approaches, industrial engineering ensures that production processes are efficient, sustainable, and cost-effective, ultimately leading to enhanced productivity and customer satisfaction.

Current trends and developments in industrial engineering and technology encompass various aspects. The evolution towards Industry 4.0 is a significant trend, emphasizing the need for rapid transformations in engineering education systems to bridge the gap between industry and academia . Technological advancements like Big Data, IoT, and Cloud Technology are driving changes, requiring constant innovation to stay competitive in the market . Additionally, the focus on eco-efficient technologies and advanced materials is enhancing product quality and energy efficiency in industrial applications, with research in this field leading to scientific breakthroughs and patents . These trends highlight the importance of systemic approaches in training engineering personnel, the versatility of industrial engineers in digital transformation, and the impact of innovative materials on industrial product development.

Current trends and developments in the field of industrial engineering include the incorporation of data analytics and industrial data science into traditional industrial engineering methods . This is driven by the potential of Industry 4.0 and the need to optimize industrial production processes . Additionally, there is a growing emphasis on the role of industrial engineering in business growth and economic development . The discipline is expanding into other management and engineering departments, necessitating a redefinition of its specific areas of interest . Future research in industrial engineering is predicted to focus on information technology, intelligent systems, optimization, quality, and supply chain management . There is also a call to reorient industrial engineering towards supporting employment growth, identifying new products and services, and promoting education and training, particularly in developing countries .

Possible interesting topics in the engineering field include the application of mathematical modeling in drug development to reduce costs and improve systematic approaches . Another topic of interest is the study of electromagnetic fields and antennas, including the design and optimization of transmitting antennas . Additionally, research on electromagnetic cavities and interior scattering can provide insights into the behavior of electromagnetic fields within bounded volumes . Furthermore, the investigation of hot corrosion and gasification processes in power plants can contribute to the development of efficient hot gas cleaning technologies . These topics highlight the diverse areas of engineering research, ranging from pharmaceutical applications to electromagnetics and energy production.

Industrial engineers can improve the efficiency of manufacturing processes by implementing various strategies. One approach is to utilize injection molding and 3D printing technologies, which allow for the mass production of complex-shaped materials with better productivity and quality working efficiency . Another important aspect is the smooth transition between design and manufacturing, which can be achieved through an efficient industrialization process. This involves collaboration, standardization, and transparency, which can reduce lead times and increase employee motivation . Additionally, the use of data-intensive modeling approaches, such as machine learning and surrogate modeling, can optimize processes and enhance production efficiency . Furthermore, evaluating energy end uses and implementing energy-saving measures, such as improving lighting, compressed air systems, and HVAC, can significantly reduce energy consumption and associated costs in manufacturing facilities . Finally, parametric and generative design techniques can be applied to engineering processes, improving the effectiveness and efficiency of manufacturing processes in the building industry .

Trending Questions

Employers expect early career engineering graduates to possess a diverse set of skills to succeed in the industry. Research indicates that employers value skills such as using configuration management systems, effective communication with colleagues and clients, producing unit tests for code, project experience, problem-solving abilities . Additionally, employers emphasize the importance of graduates being work-ready, trained in team-working, communication, leadership, self-confidence, and resilience . The gap between industry expectations and academic curricula highlights the need for universities to align their programs with the skills demanded by the engineering profession . Employers' satisfaction with fresh engineering graduates is influenced by their expectations and perceptions, with industry-academia partnerships being crucial to bridge this gap . Transitioning from a student to an early career engineer can be challenging due to the lack of formally taught skills, suggesting the importance of work placements for practical skill development .

Organic logistics support offers benefits such as increased control over maintenance processes, reduced costs over the life of a program, and improved performance metrics compared to Contracted Logistics Support (CLS) . However, transitioning to organic support may pose challenges like funding integration, cultural changes, and access to technical data . On the other hand, embracing green logistics within the circular economy framework can lead to extended product life cycles, minimized waste, and enhanced environmental sustainability . Implementing green logistics in the circular economy context requires a comprehensive approach involving supply chain management, production processes, waste recycling, and innovation, ultimately contributing to economic and environmental benefits .

Contractor logistics support (CLS) offers advantages such as providing expertise in areas where military organizations lack proficiency, acting as a force multiplier in stability operations, and enhancing responsiveness and efficiency across various warfighting capabilities . However, CLS can lead to challenges like limited flexibility due to long-term contracts with fixed costs, potential dependency on original equipment manufacturers for lack of technical data, and constraints on adjusting to funding changes within the military . Proper planning and integration of CLS within operational designs are crucial for leveraging its benefits while mitigating its drawbacks, ensuring that military operations are adequately supported and sustained over the long term.

In biomedical engineering, the term "TERM" refers to the specialized terminology and concepts that are integral to this interdisciplinary field, encompassing a wide range of technical, medical, and scientific knowledge. Biomedical engineering involves the application of engineering principles to biology and medicine to develop devices, systems, and methods for diagnosing and treating health issues . This field includes various sub-disciplines such as bioinstrumentation, biomechanics, rehabilitation engineering, and system physiology, each with its own set of specialized terms and concepts . The terminology in biomedical engineering is crucial for effective communication among multidisciplinary teams, which often include engineers from different specialties, physicians, biologists, and other scientists . These terms help in the design, manufacture, and operation of medical devices ranging from simple stethoscopes to complex imaging systems like MRI and PET scanners . The development of these devices and technologies requires a deep understanding of both engineering and physiological processes, making the specialized language of biomedical engineering essential for innovation and collaboration . Additionally, the field has seen exponential growth in research and publications, reflecting its dynamic nature and the continuous evolution of its terminology . Translators and professionals working in this field must consider linguistic, situational, and cognitive contexts to accurately convey these specialized terms, especially when compiling thematic dictionaries or translating technical documents . The integration of engineering knowledge with biological sciences not only advances healthcare systems but also necessitates a standardized and comprehensive terminology to ensure clarity and precision in communication and documentation .

Prioritizing permanent staff for training in immunization programs has a significant impact on overall effectiveness. Studies emphasize the necessity of continuous training to address skill gaps and ensure safe practices in vaccination . Implementing training interventions leads to improved knowledge and practice among providers, ultimately enhancing immunization service delivery . Additionally, utilizing a well-planned cascade training strategy, such as the proposed "Cascade-Plus Training" model, can further enhance the quality of training and performance of healthcare staff involved in immunization programs . Moreover, targeting high-contact occupational groups for vaccination campaigns can significantly improve efficiency by achieving similar infection levels with fewer vaccines, showcasing a practical strategy for enhancing vaccination effectiveness in pandemics .

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Industrial Engineering Bachelor's Theses

Theses/dissertations from 2023 2023.

RESTORECOV: A study on service recovery dimensions in fast-food restaurants in Metro Manila , Kyle Matthew D. Ang, Jullianne Alberta L. Bolaños, Bryan David L. See, and Shi Long H. Zhuang

Wordmark logo design and its effect on click intention through visual attractiveness considering perceived trust , Caitlin Shantelle Balbon, Aldrich Kyle C. Go, Justin Christopher U. Javelosa, and Trisha Lauren A. To Chip

The moderating effect of user-related characteristics between chatbot design factors and user trust in m-commerce chatbots , John Lorenzo E. Cardino, Avery Janelle T. Chua, Janelle Kisha G. Filamor, and Matthew Rafael T. Lao

A multi-objective optimization model for wastewater treatment in eco-industrial park design with employment considerations , Ralph Anderson P. Chua, Cherry Pauline B. Magdaong, Ricardo Emmanuelle D. Mañalac, Ylesa Erliria B. Puente, and Gian Carlo G. Torres

A system study on the Warehousing Department of Zeno Chemical Industries, Inc. , Diego Lorenzo B. De Guzman, Michelle Ann J. Macoy, and Gabriel Lorenzo C. Yam

The effect of design elements on purchase intentions of m-shopping users , Eugene Michael M. Garcia, Miguel Alfonso D. Llamas, and Mary Grace S. Panilag

Designing an employee satisfaction questionnaire with the inclusion of physical ergonomics sub-scales , Christianne Nicole Genevieve Nieves, Nathan Tyler S. Quach, Sean Bradley S. Ruy, and Patricia L. Santiago

Design guidelines for layout structure and proximity of static list-type infographics to Improve Users Comprehension , Ma. Jessica P. Patalud

Theses/Dissertations from 2022 2022

A cost minimization supply chain design model considering pandemic uncertainty and infection trends , Fernando V. Antonio, Juan L. Atayde, and Martin Aloysius R. Yamzon

An evaluation of mobile factors on emerging mobile grocery applications to improve customer user experience , Maria Sabrina B. Cantos, Gregg Domini M. Jacob, Nadine B. Jacob, and Caitlin Bettina Y. Tan

A system study on the manufacturing process of Nlite Fiberglass and Design, Inc. , Ericson Lance Mirafelix Cruz, John Ellis Pangindian Cruz, and Daniel Timothy Borja Lucas

Design of experiments methodology for improvement of lettuce seedling productivity considering growing medium, complete fertilizer, and calcium nitrate: PEBRO Agri Tagaytay Farm case , Jozelle Mary Claire M. Cutaran, Joan Lorraine P. Encarnacion, and Mary Hazel C. Sarmiento

A system study on Montano Foods Corporation , Brian Christian F. Jose, Jhon Karl Lago, and Thomas Jude C. Montano

Analysis of factors towards the development of a supply chain resiliency assessment tool , Kimberly D. Junsay, Miguel Luis G. De Joya, Mariel Ysabel R. Estrella, and Julian Clement M. Tan

A multi-objective optimization model for the installed capacity of a hybrid renewable energy system for seaport operations considering power disruptions , Margarita Patrice S. Penson, Giselle B. Quinio, and Errol Cayle T. Uy

Evaluation and redesign of VX Events' virtual exhibition interface for customer service improvement , Andre William S. Pua, Sean Steven H. Go, Clarisse Ann M. Sta. Maria, and Timothy Lawrence C. Tan

Theses/Dissertations from 2021 2021

Single routing network model of mobile grocery considering Inventory management with service time dependent demand , Ian Justine Q. Aggabao, Efren J. Bartolome III, and Charles Joseph V. Sindac

A system study on the warehouse operations of the Green Cross Department of DnF Distribution and Logistics Inc , Pamelo Ma I. Braga, Emilio Raphael D. Estacio, and Ivan Joaquin S. Toledo

A system study on Lokal Lab and Lokal Siargao , Chloe Marie V. Chan, Margaret Isabelle D. Liu, and Bianca Isabel L. Vasquez

A cost minimization model for a multi-component product closed loop supply chain considering big data dimensions , Pamela Nichole D. Chuateco, Carla Natalia Isabel Y. Del Rosario, and Ysabel Dominique L. Reyes

Modeling the spread of false news on social networking sites , Aleena Marie R. Concepcion

The impact of timer and warning alert in an online examination interface on the user experience of students integrated by openness to experience , Beatriz Anne T. De Jose and Danielle Alexandria A. Pasia

Nutrition label design and its effect on purchase intentions through readability considering consumer nutrition knowledge , Ignacio Luis S. Escaño, Betto Daniele T. Orendain, and Ma. Victoria C. Valderrama

The effect of application icon style design factors on the download intention of users , Josea Ysabelle Tabuso Manalac, Christian Joseph Adajo Non, and Jona Maria Letriz Carpio Sanchez

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Industrial Engineering Master's Program (with Thesis)

Click for Online Application

INTRODUCTION

MS PROGRAM in INDUSTRIAL ENGINEERING

THE DEFICIENCY PROGRAM for STUDENTS with NON-IE BACKGROUND

THE MS CURRICULUM

APPROVED ELECTIVES

COURSE DESCRIPTIONS

The Department of Industrial Engineering at the Eastern Mediterranean University provides up-to-date facilities for carrying out highly competitive and demanding industrial engineering programs both at graduate and undergraduate levels.

The Industrial Engineering Department offers a graduate program leading to MS and degree. Earning an MS degree is an exciting undertaking and a wonderful way to invest in your future. Just as every journey begins with a single step, every intellectual journey to university begins with its own sort of step- filling out a form. Please visit Online Application page (from the link below) to get your journey started.

https://grad.emu.edu.tr/en/admission/online-application

All needed information to answer your questions about graduate studies at EMU, applications, acceptance and requirements are available there.

Applications

Candidates are required to apply "online" to the Institute of Graduate Studies and Research of the University. Uploading all necessary documents is a pre-requisite for the application to be evaluated. Students documenting a clear "thesis proposal" will have an advantage.

Click on "Apply Online now" that appears on the top-right of the page. All needed information that answers your questions about graduate studies at EMU, applications, acceptance and requirements are available in the same page.

MS PROGRAM in INDUSTRIAL ENGINEERING

The MS program was first offered during the 1998-1999 academic year. This program is designed to provide students a strong analytical basis for advanced theoretical work or for development of new approaches to applications, and to promote fundamental graduate research in Industrial Engineering (IE) and Operations Research (OR) in accordance with scientific and technological developments.

Students are admitted to this program based on several criteria including their previous academic performance, field of undergraduate education, and availability of openings at the department.

Students with non-IE background are given the "Probationary" status and they are required to take pre-requisite preparatory courses or their equivalents in the "Deficiency Program". Depending on the students' background, they may need to take up to 4 deficiency courses. The duration or time to spend by a student in the deficiency program and in the "Graduate English Preparatory Program" is not considered as a part of the normal duration limit of the MS program.

THE DEFICIENCY PROGRAM for STUDENTS with NON-IE BACKGROUND

MATH322Probability and Statistical Methods(3,1) 3
IENG385 Statistical Applications in Engineering(3,1) 3
IENG313Operations Research - I(4,1) 4
IENG431Production Planning - II(4,1) 4

  

The MS degree candidates are required to take the following courses:

        IENG513     Probabilistic Models3
        IENG531     Production Planning and Scheduling3
        IENG598     Graduate Research Seminar0
        IENG500     M.S. Thesis0
IENGxxxApproved Elective (Optimization)3
IENGxxxApproved Elective3
IENGxxxApproved Elective3
DDDD5xxApproved Elective3
DDDD5xxApproved Elective3

     

APPROVED ELECTIVES 

IENG501Algorithms and Advanced Programming3
IENG502Numerical Methods in IE and OR3
IENG505Ergonomics3
IENG509Occupational Safety and Health Engineering3
IENG511Optimization Theory3
IENG512Advanced Linear Programming3
IENG515Applied Queuing Theory3
IENG516Network Flows3
IENG517Integer and Discrete Programming3
IENG521Multi-Criteria Decision Making3
IENG522Decision Analysis3
IENG523Investment Decision Making3
IENG524Financial Engineering3
IENG532Inventory Theory3
IENG533Scheduling in Manufacturing and Service Systems3
IENG537CIM Systems3
IENG538Supply Chain Management3
IENG541Location and Layout Optimization3
IENG542Performance Evaluation of Manufacturing Systems3
IENG556Technology Management 3
IENG561Systems Theory3
IENG562Systems Simulation3
IENG581Design and Analysis of Experiments3
IENG583Advanced Statistics3
IENG584Advanced Quality Engineering3
IENG585Advances in Forecasting3
IENG586Reliability Engineering3
IENG596Special Topics in Industrial Engineering - I3
IENG597Special Topics in Industrial Engineering - II3

In addition to the above list of elective courses, the student may also take the must courses from the PhD Program as an approved elective course.

To qualify for a Master's Degree, candidates must complete the curriculum requirements with a CGPA of at least 3.00 out of 4.00. Furthermore, a thesis work should be conducted under the guidance of a thesis supervisor and successfully defended against a jury. The thesis subject is usually proposed by the thesis supervisor although the research interest of the candidate is also taken into consideration.

Entry Requirements

Applicants are expected to hold a BS degree in IE or related discipline. All candidates must satisfy the requirements of the Institute of Graduate Studies and Research of EMU university. 

Career Prospects

Graduates with an MS degree in Industrial Engineering can work in many areas in the industry including operations research, systems engineering, quality assurance, planning and control of production and inventory systems, ergonomics, computer applications, process control, transportation-logistics, service sector, and administrative duties.

This is a master thesis course which is based on research in the field of Industrial Engineering. It offers students with the opportunity to conduct their own research on a specific topic. The topic of the thesis should be determined by consultation with a supervisor and approved by the department chair. The student can register this course as early as the second academic term. The thesis work has to be presented and defended in front of at least three-member jury. 

Mathematical algorithms: random numbers, polynomials, matrices, integration. Sorting and searching. String processing. Geometric algorithms. Graph algorithms: connectivity weighted and directed graphs, network flow. Dynamic programming. Algorithms will be studied using object-oriented approach as much as possible.

A survey of mathematical and numerical methods used in IE and OR related studies presented in a unified structure based upon the theory of computation with special emphasis given to the development of computer codes and design of database.

The objective of this course is to explore the effects of environmental conditions on the human performance. The topics to be covered are effects of control-display design, environmental conditions (illumination, climate, noise and motion), shift-work, human error, accidents and safety.  Moreover, the students will be asked to conduct research projects either in the human factors laboratory or in a real field.  The Statistical Package for Social Sciences (SPSS) will be used in the project work.

This course is designed to introduce the student with the principles of safety and health hazards in industrial environment. It provides students with fundamentals of measurement, evaluation, regulation, and control of hazardous conditions, toxic substances, physical agents, and dangerous processes in the industrial environment. Skills development in record keeping, risk assessment and accident cause analysis will also be emphasized. This course will prepare the student for workplace safety and management.

Convex analysis; optimality conditions; generalized linear programming; revised simplex, matrix representation; integer programming; computer applications. Extensions of linear programming: quadratic programming; dynamic programming; geometric programming; methods for unconstrained and constrained non-linear optimization; multi-objective optimization methods.

Geometry of LP and Simplex Method. Duality and its implications. Sensitivity. Simplex forms: Revised Simplex, dual Simplex etc. LU factorization. Transportation and transshipment problems, assignment problem. Decomposition Methods. Networks. Problems with upper bounds. Numerical stability and computational efficiency. Karmarkar's method.

Axiomatic approach to probability; conditional probability; Random variable. Commonly used discrete and continuous distributions. Expectation of a random variable; jointly distributed random variables; Marginal and conditional distributions; independent random variables. Multinomial and multivariate normal distributions. Functions of random variables, moments, conditional expectation, m.g.f. and p.g.f., Markov inequality, Law of large numbers, Central Limit Theorem. Discrete-time Markov chains, Kolmogorov-Chapman equations, classification of states, steady-state probabilities. Applications from different areas.

Analysis of birth and death processes. Development of elements of queuing theory. Single and multiple server queues for Markovian and non-Markovian arrival and service time distributions (M/M/1, M/M/c, G/M/c, M/G/1, PH/PH/1). Bulk arrival and service systems. Networks of Markovian queues. Lindley's equation for the G/G/1 queue. Applications of queuing theory in manufacturing and service systems.

Network representation and terminology. Network flow problems such as shortest path, minimal spanning tree and maximal flow problems. Graph Theory.

The course covers the basic solution methods: dynamic programming, implicit enumeration, branch and bound, cutting plane and polyhedral approach. It also gives an introduction to heuristic methods as the use of Lagrange multipliers and local search. Traveling Salesperson Problem (TSP) and optimization in graphs are also discussed. The course aims to provide tools for students dealing with integer programming models for developing their own algorithms for their special problems.

In practice Multi-Criteria Decision Making (MCDM) methods are very popular in addressing complex problems involving multiple and typically conflicting criteria as well as several stakeholders or decision makers with different preferences with respect to the evaluation criteria. This course aims at training students in the field of MCDM with emphasis on rating, ranking and classification problems and methods with applications in business. Quantitative decision analysis. Multi-criteria benefit and utility theories. Decision making under uncertainty. Decision tree. Structuring of objectives and value hierarchies, and determination of value functions. Multi-objective decision making with mutually exclusive alternatives. Multi-objective ranking and classification. Multi-objective mathematical programming. Interactive methods and applications.

Bayesian decision models; decision trees; value of information; utility theory, use of judgmental probability, study of strategies; economics of sampling; risk sharing and decisions; implementation of decision models.

The meaning of investment process in general and for creating systems to produce products and services in particular. Classification of investment decision problems with respect to context and the precision of informational support, i.e. certainty, risk and uncertainty. A general mathematical structure for modeling for investment decisions. Deterministic, stochastic, combinatorial, sequential and dynamic investment decision models, and optimization techniques used for their solutions. A mathematical basis for deriving suitable value measures for evaluating investment alternatives and derivation of such measures. Types of risk taking as the fundamental dimension of a class of investment decision making situations.

This course is designed to enable students to understand and conceptualize basics of modern financial markets in the form of mathematical models. Several models of risk free assets and dynamics of risky assets will be discussed. Optimal portfolio management in risky environments will be analyzed. Call and put options of securities in discrete and continuous time settings will be explained. This part includes the famous work of Black-Scholes.

Analysis of some specific problem areas within the context of planning and scheduling of production activities. Definition, formulation and available solution procedures for aggregate planning, lot sizing, material requirements planning, cutting stock, line balancing, single processor scheduling, multi processor scheduling problems are studied.

Study of inventory systems. Deterministic and stochastic models. Fixed versus variable reorder intervals. Dynamic and multistage models. Selection of optimal inventory policies for single and multi-item dynamic inventory models, with convex and concave cost functions, known and uncertain requirements. Myopic policies. Multi-echelon models. Heuristic algorithms.

Terminology, characteristics and classification of sequencing and scheduling problems. An overview of computational complexity theory. Single Machine Scheduling. Parallel Machine Scheduling. Shop Scheduling: open shop, flow shop, job shop, and mixed shop. Batching.  Scheduling under Resource Constraints. Due-Date Scheduling. Scheduling in Flexible Manufacturing Systems.

Introduction to CIM (Computer Integrated Manufacturing) systems. Computer process interfacing. Computer control. Industrial robots. Flexible manufacturing systems. CIM systems. CIM systems selection criteria.

Supply chain management; New product development; Management and control of purchasing and logistics management systems. Strategic orientation toward the design and development of the supply chain for purchasing, materials, and logistics systems. Total Quality Management to assess and assure customer satisfaction. Global strategies. Expert systems for continuous improvement of the supply chain.

Single or multiple facilities location in the plane with minisum or minimax criteria. Discrete or continuous layout optimization. Single facility network location. Applications in public service, production, distribution, warehousing, emergency service, flexible manufacturing.

The design and performance issues in production, transfer lines, production/inventory systems, network of production/inventory systems, and flexible manufacturing systems. Phase type processing times, failures and service completion processes. Buffering and blocking issues. Decomposition methods. Control policies in pure inventory and production/inventory systems.

The course covers a discussion of the major aspects of advanced manufacturing and process technologies, selection and implementation of new technologies, and the management of technological and organizational changes.   

Analysis of linear continuous systems; controllability, observability, and stability; applications to physical, ecological, and socio-economic systems; control systems; introduction to optimal control.

The design and analysis of simulation models. The use of simulation for estimation, comparison of policies, and optimization. Variance estimation techniques including the regenerative methods, time series methods, and batch means. Variance reduction. Statistical analysis of output of simulations, applications to modeling stochastic systems in Industrial Engineering and Operations Research.

The simple comparative experiments, experiments with a single factor, fixed effect and random effect models, model adequacy checking, choice of sample size, randomized blocks and latin squares design, incomplete block design, factorial designs, rules for sums of squares and expected mean squares, fractional factorial designs and regression analysis. Moreover, the statistical package for social sciences (SPSS) will be introduced.

Sampling distributions; Point estimation; Measures of goodness estimators; Methods of estimation; Sample size determination; Confidence intervals; Sufficient Statistics; Rao-Blackwell theorem; Hypothesis testing; Errors of type I & II; power of a test; p-values; Neyman-Pearson Theory; Likelihood ratio test; Some commonly used tests for means, variances and for ratio of variance etc.; Method of least squares; Curve fitting; Regression analysis; Some commonly used non-parametric tests for randomness, independence etc.; Goodness-of-fit tests; Sequential tests of hypothesis; Use of order statistics to find statistical intervals etc. Use of computer packages.

Planning and forecasting; Measures of forecast errors; Correlation, covariances, autocorrelations and autocorrelation function and their use pattern recognition; Smoothing methods; Decomposition methods and seasonal indices; Methods for trend and seasonal patterns including differences, double smoothing, Holt & Winter methods; Fourier series forecast analysis; Box-Jenkins ARIMA methods and their applications; ARIMA intervention analysis and transfer functions; Econometric methods; Multiple regression; Cyclic methods; Technological forecasting; Use of neural networks, expert systems and genetic algorithm in forecasting. Mini-case studies and  software packages.

Reliability and maintainability. Basic reliability  models. Maintainability. Availability. Reliability testing. Implementation and Case studies.

Recent advances in selected topics in industrial engineering will be covered. The topics and the contents of the course will depend on the course instructor and will be announced in the beginning of each semester.

This course is designed to orient the students for research by emphasizing reading, comprehension, discussion and performing exercises on IE/OR problem areas. For this purpose, each student is required to choose an IE/OR topic that is suitable to his/her academic background and interests, study this topic under the guidance of faculty members, make a literature survey, and point out the relevant further research areas. Throughout this course each student is also required to read and study some technical papers and give a series of seminars.

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Eastern Mediterranean University

Department of Industrial Engineering Famagusta, North Cyprus via Mersin 10, Turkey

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  • Engineering

Industrial and Production Engineering

Industrial and production engineering research papers/topics, manufacturing of wear resistant clads for slurry/tailings pump impellers via laser cladding (lc)..

Abstract: Wear is a huge problem in the mining industry as it depreciates the assets invested. The industry is looking at efficient refurbishment technologies to repair its equipment so as to enhance its service life. This thesis focuses on the development of wear resistant clads via laser cladding (LC) process to mitigate the problem of degradations in slurry tailings’ pump impeller made of 304L stainless steel. A critical literature review indicates that Tribaloy T-800 and Stellite 6 pow...

A review on wingtip devices for reducing induced drag on fixed-wing drones

Abstract: This review paper presents and analyzes previous studies on wingtip devices mainly to reduce induced drag on fixed-wing aircraft and drones. Some of the parameters discussed are the different types of winglets, cant angles, and adjustable wing structures. And these are compared against performance measures including reduced drag, fuel consumption, and improved endurance. This study aims to explore the optimized design of a wing that will give maximum drag reduction for fixed-wing d...

Defect Analysis and Productivity Enhancement of Crankcase Casting through Pareto Analysis, POKAYOKE and QC Tools

Abstract: Productivity is a very important aspect in any organization. Productivity means output obtained with respect to how much input is provided. To increase the productivity of any organization it is necessary to study and analyze the rejection data of that organization. This research focuses on the need of following a proper methodology in solving any particular problem. The defects were prioritized using QC tools, Pareto analysis. This research emphasizes on the importance of focusing ...

DART IMPACT TESTER PRIMA SERIES

Presto is the market leader in Packaging Testing Instruments with over 38 Years’ experience. A National Award Winner for Quality Product from the Government of India. Presto builds low-costtesting instrumentsfor the plastic and packaging industry.  

Ergonomics Study of the Incidence of Musculoskeletal Disorder Among the School Teachers in Egba Division of Ogun State Nigeria

Musculoskeletal pains (MP) especially the lower back, leg, neck and shoulder pain were the common complain among the classroom teachers due to prolong desk working and standing in the classroom. The study was conducted among the primary and secondary school classroom teachers in randomly selected two hundred and seven (207) schools in Egba division of Ogun State, Nigeria.

Anthropometric Determination of Body Height from Foot Length of Adults in Abeokuta Southwest Nigeria

Forensic identification of an individual in this time of unrest in some parts of the world cannot beo .overemphasized. The study was conducted to investigate and determine the body height (Bh)from foot length (Fl). The Bh and Fl of Two hundred and sixty (260) adults(male and female) of participate in Abeokuta Southwest Nigeriaa, ages ranged between 24 years and 55 years

Development of A Generalised Solution for The Performance Measures of Queuing Systems

ABSTRACT This study developed computer software with the capacity to provide a generalized solution to queuing problems involving laborious, time consuming and complex mathematical approach of evaluating the performance measures of queuing systems when it was applied in the analysis of the six (6) fundamental performance measures of thirty (30) different organizations representing the six (6) queuing systems; the result was compared with that of mathematical computations and 97.22% complianc...

Preprocessing and Simulation of Out of Hospital Cardiac Arrest Outcomes Data

Out-of-hospital cardiac arrest (OHCA) is a cessation of cardiac mechanical activity that occurs outside of the hospital setting and is confirmed by the absence of signs of circulation. OHCA affects nearly 1000 adult Americans every day, with overall survival rate of 10.4%. Based on previous work in this subject I try to calculate the joint probability distributions of the neurological outcomes of the OHCA outcomes in our records, based on the Event Demographics, Field Care, and Hospital Care....

Optimization Of Transportation Costs In Supply Chain Management (A Case Study Of Coca-Cola Plants In Nigeria)

ABSTRACT In the manufacturing sector management of the supply chain expenses has been identified as major costs driven problem. For many years, researchers and practitioners have concentrated on the individual processes and entities within the Supply Chain. Recently, however, many companies have realized that important cost savings can be achieved through the reduction of transportation costs throughout their Supply Chain. As companies began realizing the benefits of optimizing transportatio...

The Combined Application of Quality Function Deployment and Pareto Analysis for Hotel Services Improvement

Introduction For several years, Quality Function Deployment (QFD) has been at the leading edge of research and development in many fields (Barnett and Raja, 1995; Chiou and Tong, 2001; Han et al., 2001; Pitman et al., 1996; Pramod et al., 2007; Walker, 2002; Wang, 2007). QFD evolved as a way to incorporate knowledge about the needs and desires of end-user customers into all stages of the design, manufacture, delivery and support of products and services (Einspruch, 1996; Griffin and. Hauser, ...

A Framework For an In-House Development of Educational Management Information System

ABSTRACT A large percentage of Nigerian educational institutions use manual and paper- based system for collecting, processing, and disseminating information. This approach results in inefficient utilization of resources, low productivity and stunted growth of the educational sector. In this study the in-house users- development approach has been used to develop a computer based Educational lnformation Management System (8MS) for a typical University academic department. The existing work Sy...

A Genetic Algorithm for Job Scheduling in Two Machine Flow Shop Problem

Abstract This paper considers the problem of scheduling in flow-shop by Johnson's Algorithm method, Branch and- Bound Algorithm method and Genetic Algorithm-seethed to find an optimal sequence for n jobs m-machine problem based on minimum elapsed time.ln scheduling the two machine flow shop problem F211 I C, one has to determine a schedule that minimizes the sum of , finishing times of an arbitrary number of jobs that need to be executed on two machines, such that each job must complete proce...

Optimum Allocation of Silicone Oil in Flexible Polyurethane Foam Production

ABSTRACT The high cost of purchasing good quality flexible polyurethane foam called for this project work, which examines the possible reduction in the cost of production which will eventually lead to reduction in all overall market cost. Process optimization technique was adopted using gradual chemical variance method for the foam surfactant (silicone oil) to locate the optimum silicone oil quantity required as against the usual practice of ipart of silicone oil to 100 part of polyol for 20...

Genetic Algorithm Approach For Optimisation Of Silica Extraction For Micro-Crystalline Silicon Production

Solar collectors mainly produced from poly-crystalline (P-Si) and micro-crystalline silicon (µ-Si) are in high demand in Nigeria due to persistent power challenges. The silicon are mostly imported and µ-Si is preferable due to its low cost. The µ-Si is extracted from Rice Husk (RH). However, the procedure of setting its optimal process variables (temperature, time and solvent volume) which are determinants of the reduction in cost is under reported in the literature. The aim of this study ...

Improvement Of Facility Layout Using Systematic Layout Planning: A Case Study Of Numerical Machining Complex Limited

ABSTRACT The facilities layout problem is an integral part of facilities planning that aims to systematically arrange and locate all production units within a facility with an objective of improving the production operations of a company. Numerical Machining Complex is planning to improve the production of its manufacturing operations in its machining and fabrication workshop. It seeks to enhance the performance of the existing workshop in terms of efficiency, productivity, and space utiliza...

Industrial and Production Engineering is an interdisciplinary engineering discipline that includes manufacturing technology, engineering sciences, management science, and optimization of complex processes, systems, or organizations. Afribary curates list of academic papers and project topics in Industrial and Production Engineering. You can browse Industrial and Production Engineering Project topics, Industrial and Production Engineering thesis topics, Industrial and Production Engineering seminar topics, research papers, termpapers topics in Industrial and Production Engineering. Industrial and Production Engineering projects, thesis, seminars and termpapers topic and materials

Popular Papers/Topics

Evaluation of the effectiveness of quality control in dangote cement plc, evaluation and assessment of relocation from a city to the outskirts: case study dhl gävle sweden, critical analysis of the recent poor performance of engineering students in engineering mathematics: a case of nnamdi azikiwe university,, assessing and monitoring open pit mine, the role of informal sector in employment generation in ilorin, kwara state nigeria, development of a maintenance strategy for flour milling industry: a case study of corn milling industry in kenya, application of fuzzy clustering data mining approach to garment sizing problem, development of low cost point of care device for detection of schistosoma haematobium, electrodialysis, productivity improvement in manufacturing industries, an algorithm for job scheduling in 2-machine flow shop problem, a bicriteria model for production planning in a toothpaste factory.

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Industrial Engineering focuses on optimizing processes of technology and people, often in manufacturing settings. Different disciplines include human factors, supply chain and logistics, production planning, mathematical optimization, LEAN 6 Sigma, and more.

Master thesis topics?

Hey there! So I am currently doing MSc in Industrial Engineering. I did MechE in bachelor and wrote my bachelor paper about material science. I was curious to see if someone would have a suggestion or guidance about choosing the topic for Industrial Engineering. I was working for a company while I wrote my bachelor thesis, so it was way easier to find something that I can do there aswell. All help appreciated.

Purdue University Graduate School

Potential Patent

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ENGINEERING CO2-FIXING ESCHERICHIA COLI FOR HEXANOYL COENZYME A BIOSYNTHESIS THROUGH HETEROLOGOUS GENE EXPRESSION, GENE SILENCING AND TRANSCRIPTIONAL BIOCHEMICAL REPRESSION

Sustainably produced oleochemicals from microbial lipid metabolism are an attractive alternative to traditional industrial production that is using expensive or non-renewable feedstocks. Though, microbial chassis as cell factories for production of oleochemicals at high titer for commercial exploitation require biochemical and genetic manipulation towards specific gene programming. As such, Escherichia coli cells are the laboratory workhorse with significant importance in biotechnological development and are the prime microbial candidate to drive synthesis of valuable compounds. The aim of this thesis is to demonstrate a novel metabolic system in Escherichia coli for controlled expression of specific genes encoding putative heterologous lipid-related enzymes and silencing native enzymes as wells as transcription factors to augment metabolic flow of specific pathways towards hexanoyl-CoA accumulation in the cell at commercial concentrations using a cheap feedstock. First, a CO2-fixing pathway was constructed in an Escherichia coli strain by introducing a donated expression cassette containing genes encoding two sequential cyanobacterial Calvin cycle enzymes; Rubisco (RBC)-encoding genes ( rbcL-rbcX-rbcS ), and phosphoribulokinase-encoding gene ( PRK ) and a cyanobacterial carbonic anhydrase (CA)-encoding genes ( ccaA ), mimicking cyanobacterial carbon concentrating mechanism. Second, a hexanoyl-CoA-producing pathway was incorporated by including an Arabidopsis thaliana acyl-lipid thioesterase 4-encoding gene ( ALT4 ) and acyl-activating enzyme-encoding gene ( AAE17 ). Next, an antisense RNA pathway was incorporated into the previously engineered strain to prevent the flow of the produced hexanoyl-CoA to β-oxidation and phospholipid synthesis. Three RNA-silencing sequences targeting Escherichia coli anaerobic acyl-CoA dehydrogenase-encoding gene ( Ydio ), aerobic acyl-CoA dehydrogenase-encoding gene ( FadE ) and fused 2-acylglycerophospho-ethanolamine acyltransferase/acyl-acyl carrier protein synthetase-encoding gene ( aas ) were incorporated. Finally, DNA-binding transcriptional dual regulator-encoding gene ( FadR ) targeting β-oxidation repression was incorporated. Markedly, the engineered Escherichia coli productivity of hexanoyl‑CoA was 100% increase over wildtype. This multi-gene transformation system is the first report in increasing hexanoyl-CoA through controlling simultaneously fatty acid biosynthesis and β-oxidation, utilizing simple RNA silencing and transcriptional repression technology in Escherichia coli cells.  

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Outstanding Senior Spotlight: Jared Ura

  • by College of Engineering Communications
  • June 07, 2024

Jared Ura was inspired to major in materials science and engineering at the University of California, Davis, by his grandfather, who was also an engineer.   

A man wearing a tie smiles

“He sparked my interest in chemistry and physics at a young age, and I was always in awe of how he understood the world around him at a fundamental level,” Ura said. “He taught me how to dig deeper and understand topics in full, which continues to guide me in researching the structures and properties of novel materials at the smallest of scales.”  

At UC Davis, Ura was among the five founding members of the Davis Undergraduate Engineering Network , which focuses on fostering interdisciplinary collaboration among engineers at UC Davis. Through the club, Ura found lifelong connections and hopes that incoming engineering students will also find community with the legacy he is leaving behind.   

As Ura looks ahead to his Ph.D. program at the University of California, Irvine, he also looks fondly at the people who helped him achieve his academic goals. He appreciates Susan Gentry , associate professor of teaching in the Department of Materials Science and Engineering, for her dedication to her students and for teaching him marketable skills like machine learning for materials informatics.   

He also appreciates Erika La Plante , assistant professor of materials science and engineering. He never took any of her classes, but he joined her research group last fall to research the precipitation of magnesium-based cement, and her mentorship, Ura says, has been pivotal in his decision to pursue a graduate degree.   

“Professor La Plante has provided me with the tools and opportunities to realize my potential as an independent researcher. I'm beyond grateful that she took a chance on me as her first undergraduate researcher at UC Davis.”  

While Ura encourages new students to take advantage of UC Davis’ ample resources, apply for leadership positions in campus organizations and say “yes” to as much as possible, he emphasizes the value of taking the time to be present as well.     

“Your undergraduate years go by so much faster than you may think,” he said. “You're currently making the college memories that you'll look back on, so take the time to hang out with friends, watch the sunset and eat good food.”  

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June 10, 2024

Purdue trustees ratify faculty positions; approve new degree programs, posthumous degrees, resolutions of appreciation and compensation terms for basketball coaches

spring-special

WEST LAFAYETTE, Ind. — The  Purdue University   Board of Trustees  on Friday (June 7) ratified faculty appointments and approved new degree programs, posthumous degrees and resolutions of appreciation.

 The newly ratified faculty appointments are:

  • Michael Childress as the Evan and Sue Ann Werling Professor of Comparative Oncology
  • William Johnson as the Corteva Agriscience Henry A. Wallace Chair in Crop Sciences

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Childress joined the faculty in the College of Veterinary Medicine’s Department of Veterinary Clinical Sciences in 2009. His research focuses on developing new therapies and identifying novel prognostic and predictive biomarkers for canine lymphomas.​ Childress is a member of the Phi Zeta Veterinary Honor Society, American Veterinary Medical Association, Veterinary Cancer Society, American College of Veterinary Internal Medicine, Purdue Institute for Cancer Research and Indiana Veterinary Medical Association. His honors and awards include the Purdue Veterinary Medicine Excellence in Service Award, Purdue Veterinary Medicine Excellence in Research Award and the Veterinary Clinical Science Department Award for Excellence in Resident Mentoring.

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Johnson joined the faculty in the College of Agriculture’s Department of Botany and Plant Pathology in 2002. His research focuses on developing weed management systems that are economically and environmentally sound, integrating cultural practices with judicious herbicide use, improving efficiency of production and minimizing selection pressure for herbicide-resistant weeds. He is also interested in promoting grower acceptance of these weed management systems through education efforts targeting growers, crop consultants, input suppliers, industry representatives and Extension educators in Indiana and surrounding states. Johnson is a member of the North Central Weed Science Society and Weed Science Society of America. Some of his honors and awards include the 2023 Corinne Alexander Spirit of the Land-Grant Mission Award, multiple Seed for Success Research Awards, several Outstanding Extension Specialist Awards and several Outstanding Graduate Educator Awards.

In other action, trustees approved five new degree programs:

  • A Master of Science in robotics technology degree program will begin at Purdue West Lafayette in fall 2024. Whereas robotics is traditionally studied across different disciplines, Purdue Polytechnic Institute’s School of Engineering Technology uses a transdisciplinary approach. Bringing together the foundational pillars of sensing, computing and actuating, the new program will enable students to study robotics under one umbrella. It also addresses increased demand for advanced-level degrees from both in-state and international students, while complementing Purdue’s Institute for Physical Artificial Intelligence  by building on the university’s existing strengths in robotics.
  • A PhD in robotics technology degree program will begin at Purdue West Lafayette in fall 2024. Building upon the existing bachelor’s and newly announced master’s degree programs, the PhD program will further address demand in the field while encouraging current degree-seeking students to pursue advanced-level degrees. The program, which includes concentrations in mechatronics and smart manufacturing, will complement Purdue’s Institute for Physical AI and enable the creation of minors and certificates for students outside the Polytechnic Institute. 
  • A Master of Science in software engineering degree program, which will be offered fully online through the Purdue West Lafayette campus, will begin with the spring 2025 semester. The demand for individuals with a master’s degree in software engineering is robust, and Purdue is well equipped to lead in this domain, given its top five engineering ranking by U.S. News & World Report . In partnership with the College of Science, this interdisciplinary, collaborative degree program combines elements of the existing Master of Science in electrical and computer engineering and computer science degree programs, which emphasize software engineering, allowing students to tailor their degree to meet their professional goals.
  • A Doctor of Engineering degree program, which will be offered fully online through the Purdue West Lafayette campus, will begin with the spring 2025 semester. The program addresses a growing demand for highly skilled engineers by creating a pipeline to an advanced degree for existing online master’s students, as well as working professionals looking to maintain their professional commitments. Leveraging the strength of Purdue’s highly ranked online and in-residence engineering offerings, the 90-credit-hour program features research methodology coursework, advanced mathematics and statistics, a wide variety of engineering courses, and a culminating research project.
  • A Master of Science in applied artificial intelligence degree program will begin at Purdue University Northwest in fall 2024. Fueled by rapid technological advancements, improved computational power and the fast growth of digital data generated, there is a growing need for professionals with advanced AI skills, both in Indiana and nationwide. The applied AI program addresses those needs by preparing students for high-demand careers in the artificial intelligence field while targeting regional demand in the broader Purdue Northwest service area.

Trustees awarded posthumous degrees to Sameer Kamath (non-thesis Master of Science in mechanical engineering) and Sara Brown (non-thesis Master of Science in human development and family science), both from Purdue West Lafayette. A posthumous degree requires that at least 85% of the credit hour requirements have been completed, including most of the requirements for the major.

Trustees also approved resolutions of appreciation for friends of the university who recently contributed $1 million or more to Purdue. Those are:

  • James Tarpo Jr. and Margaret Tarpo, to support the College of Science
  • Sandra Bish, to support the College of Science
  • Robert and Amy Martin, to support Intercollegiate Athletics
  • Brooke Patterson, to support the College of Pharmacy
  • Mary Anne Davidson, to support the Mitchell E. Daniels, Jr. School of Business
  • Ronald and Susan Dollens, to support the College of Pharmacy and the Mitchell E. Daniels, Jr. School of Business
  • Marvin and Melanie Richardson, to support the College of Pharmacy
  • Hugh Brian Underwood and Carol Blacutt-Underwood, to support the School of Materials Engineering
  • Two anonymous gifts, to support the Davidson School of Chemical Engineering
  • An anonymous gift, to support the School of Industrial Engineering and the Purdue Institute for Cancer Research

In recognizing these donors, trustees further approved the following namings:

  • James Tarpo Jr. and Margaret Tarpo Department of Chemistry  — James earned his bachelor’s degree from the College of Science in 1959. The couple will also establish an endowment in the Department of Chemistry.
  • Mark S. Davidson Rising Star Professorship in the Mitchell E. Daniels, Jr. School of Business — Named in honor of Mary Anne Davidson’s late husband, who earned his associate degree in 1968 and bachelor’s degree in 1970 from the Purdue Polytechnic Institute.
  • Ron and Susie Dollens Chair in Integrated Business and Engineering in the Mitchell E. Daniels, Jr. School of Business — The Dollenses both earned bachelor’s degrees, Ron from the College of Pharmacy in 1970 and Susie from the College of Education in 1970.
  • Blacutt-Underwood Head of Materials Engineering — Hugh Brian Underwood earned his bachelor’s degree from the School of Materials Engineering in 1988. 

Additionally, trustees approved compensation terms for head men’s basketball coach Matt Painter for each of the next five years of his five-year rolling contract, as well as compensation terms for head women’s basketball coach Katie Gearlds  under a two-year contract extension to June 30, 2029.

About Purdue University

Purdue University is a public research institution demonstrating excellence at scale. Ranked among top 10 public universities and with two colleges in the top four in the United States, Purdue discovers and disseminates knowledge with a quality and at a scale second to none. More than 105,000 students study at Purdue across modalities and locations, including nearly 50,000 in person on the West Lafayette campus. Committed to affordability and accessibility, Purdue’s main campus has frozen tuition 13 years in a row. See how Purdue never stops in the persistent pursuit of the next giant leap — including its first comprehensive urban campus in Indianapolis, the Mitchell E. Daniels, Jr. School of Business, Purdue Computes and the One Health initiative — at https://www.purdue.edu/president/strategic-initiatives .

Sources : Patrick Wolfe, provost and executive vice president for academic affairs and diversity

Steve Schultz, senior vice president and general counsel

April Headdy, President’s Council executive director, Purdue for Life Foundation

Michael Childress

William Johnson

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