Indust/Manufctrng Engrg (IME)

IME-564  Ethics and Practice of Engineering    4 Credits

Prerequisites: None
Minimum Class Standing: Senior
The professional and ethical consideration of an engineer in contemporary society is covered in this course. Discussions include the code of ethics for engineers, case studies on conflict of interest, team, engineering/management responsibilities, environmental considerations and professional registration. This class requires live weekly discussion.
Lecture: 4, Lab 0, Other 0

IME-601  IME Principles for Mobility Systems    4 Credits

Prerequisites: None
This graduate level course is designed to introduce the fundamental principles of industrial and manufacturing engineering that are required for application in mobility systems for students with non-IME degrees. Topics include: product and process design, work design, production systems, quality/six sigma, and management/leadership. Approximately two weeks are devoted to each topic illustrated in the context of specific applications in mobility systems. Case studies with specific applications of IME in mobility systems will be assigned.
Lecture: 4, Lab 0, Other 0

IME-603  Numerical Control Machining    4 Credits

Prerequisites: None
The fundamentals of computer numerical control (CNC) programming and computer-aided manufacturing (CAM) are introduced in this course. The fundamental theoretical and operational concepts of machining are also presented. The course focuses on the programming of cutting operations; tool materials, selection, and uses. Significant topics include: G-code programming, Introduction to CAM software, Taylor’s tool life model, Criteria for tool selection, and the Orthogonal Cutting Model. Laboratories use CNC machine tools for programming and cutting, and are designed to illustrate theoretical concepts and methods for solving practical engineering machining problems.
Lecture: 3, Lab 2, Other 0

IME-608  Industrial Robotics    4 Credits

Prerequisites: None
Basic concepts of robotic system theory and applications are presented. Human and robotic system interface with diverse real environments are discussed. Human and robotic safety is stressed. Advantages, limitations, business case justifications of investment and benefits of robotic systems for LEAN and quality operations are emphasized. Flexible manufacturing operations, Work cell design, cycle time, work path, end-effectors, collaborative robots are covered. Robotic computer model simulation is included in the course. Hands on Labs are included. Graduate students analyze more in-depth applications of robotic systems, simulations and current industry applications. Students may not receive credit for both IME-408 and IME-608.
Lecture: 3, Lab 2, Other 0

IME-614  Design for Manufacturing and Assembly    4 Credits

Prerequisites: None
This course aims to provide an in-depth understanding of the complex interrelationships between design and manufacturing. It covers essential topics, principles, and practices of Design for Manufacturability and Assembly, with a focus on the product development process, customer requirements, design requirements, robust design, manufacturability, assembly, and design for Misc (DOX), as well as designed experiments (DOE) and GD&T. In DFMA, the students will learn about assembly documentation, constraint analysis, variation, sequence analysis, concurrent engineering, and how to efficiently model assembly systems. Students will be expected to work in small teams, apply methods they learn, and present results and conclusions based on assigned work to practice being part of a project team. Graduate students will supplement course content by investigating and presenting late-breaking research findings and trends in the area of design for manufacturing and assembly. Students may not receive credit for both IME-414 and IME-614.
Lecture: 4, Lab 0, Other 0

IME-622  Simulation    4 Credits

Prerequisites: None
An understanding and need for simulation in practice will be developed. The course will focus on basic and advanced concepts in simulation including comparing the simulated results with analytical results, and successfully develop simulation models useful in production/manufacturing, supply chains, transportation, and other areas related to Industrial and Manufacturing Engineering. Simulation package such as ARENA will be integrated and used throughout the course. Graduate students will create advanced digital simulation models. Students may not receive credit for both IME-422 and IME-622.
Lecture: 4, Lab 0, Other 0

IME-652  Production System Design    4 Credits

Prerequisites: None
Students gain an understanding of the decision-making tools necessary to design value in the global supply chain from concept to customer. Quantitative methods are employed to aid the decision-making process of demand forecasting and enterprise planning for the purpose of increased profit and value to stakeholders. Basic concepts in strategy, forecasting, demand planning, inventory control and value stream mapping will be taught and utilized to enable the decision-making process to be based on quantitative metrics. Graduate students will be required to do additional projects/assignments related to supply chain management. Students may not receive credit for both IME-452 and IME-652.
Lecture: 4, Lab 0, Other 0

IME-653   Supply Chain Design    4 Credits

Prerequisites: IME-652
This course introduces principles of supply chain and logistics network from an engineering perspective. Students gain an understanding of the decision-making process required to design and manage the global supply chain. The key concepts such as inventory planning, warehousing, logistics and distribution networks, facility location planning, probabilistic project management, transportation systems, and sustainability are covered in this course. Graduate students will be required to do additional projects/assignments related to supply chain management. Students may not receive credit for both IME-453 and IME-653.
Lecture: 4, Lab 0, Other 0

IME-654  Enterprise Resource Planning    4 Credits

Prerequisites: None
An understanding of the integrated approach to enterprise planning and its evolution from MRP I and MRP II is provided in this course. It describes the core structure of ERP systems and highlights the characteristics of emerging ERP based organizations. Various ERP tools and techniques are described and compared. The fundamental success factors in moving from traditional business functions to an integrated process-based ERP environment are introduced.
Lecture: 3, Lab 0, Other 1

IME-656  Engineering for Healthcare Systems    4 Credits

Prerequisites: None
This course examines the technical structure of the healthcare delivery system and the role that industrial and systems engineering (ISE) plays in its design and improvement. Included will be how healthcare systems work in hospitals, medical offices, clinics and other healthcare organizations. Traditional ISE methods for improving quality, patient safety, and employee productivity and satisfaction will be presented within a systematic application of value chain engineering designed to produce lean processes.
Lecture: 3, Lab 0, Other 1

IME-662  Ergonomics    4 Credits

Prerequisites: None
Human factors and ergonomics concepts for design of work. Topics include functional anatomy, bio-mechanical analysis of physical work, work physiology, manual material handling, cumulative trauma disorders, hand tool design, and human factors related to applied job design. Graduate students will create and analyze additional, in-depth job simulations using industry-current software tools. Students may not receive credit for both IME-462 and IME-662.
Lecture: 3, Lab 2, Other 0

IME-663  Safety & Human Factors    4 Credits

Prerequisites: None
An introduction to occupational safety; including injury statistics, mandatory and voluntary specification and performance regulations, standards, and guidelines. Electrical, machine, fire and life safety, confined spaces, and fall hazards (among others) are discussed in the context of traditional safety and human factors engineering. Students apply systems safety analysis methods in real-world hazard analysis and control projects. Graduate students will be required to research and present to the class safety strategy and policy trends related to new technology disruption and how engineers and policy makers will approach safety for these systems in the future. Students may not receive credit for both IME-463 and IME-663.
Lecture: 4, Lab 0, Other 0

IME-665  Human-Computer Interaction and Interface Design    4 Credits

Prerequisites: None
New technology is increasingly being integrated into our minute-to-minute lives. This multidisciplinary course provides theoretical and practical skills that are needed to design, develop, and evaluate human interaction with computer and machine interfaces and virtual environments. Course topics are anchored around fundamentals of physical and cognitive human capabilities and their relationship to product design and testing. Example topics include human psychological and physical capabilities, cognition and models of interaction, heuristic evaluation. Rapid prototyping, usability testing, experimental evaluation of input devices and peripherals, haptics, virtual and augmented reality, and brain interfaces. Topics are reinforced through readings, guest lectures, hands-on experimentation and evaluation, current research trends, and a term design project. Graduate students will supplement course content by investigating and presenting late-breaking research findings and trends in the area of new technology HCI/HMI design. Students may not receive credit for both IME-465 and IME-665.
Lecture: 4, Lab 0, Other 0

IME-671  Quality Control    4 Credits

Prerequisites: None
The basics of modern methods of quality control and improvement that are used in the manufacturing and service industries are covered in this course. It includes quality philosophy and fundamentals, statistical methods of quality improvement, concept of variation and its reduction, control charts, and Statistical Process Control (SPC). Deming’s quality and management concepts will also be discussed. Students may not receive credit for both IME-471 and IME-671.
Lecture: 4, Lab 0, Other 0

IME-673  Design of Experiments    4 Credits

Prerequisites: None
The objective of the course is for students to develop the skills necessary to plan an experiment, collect the data, and analyze the results to improve quality, efficiency, and/or performance of working systems/products. Variable selection process, ANOVA, factorial designs, fractional factorial designs, blocking, and response surface methodology are covered. Statistical software such as Minitab is used extensively throughout the course. Graduate students will be required to do additional projects/assignments in the course. Students may not receive credit for both IME-473 and IME-673.
Lecture: 4, Lab 0, Other 0

IME-676  Lean Six Sigma    4 Credits

Prerequisites: None
Techniques to maximize production efficiency and to maintain control over each step in the process are examined in this course. The structured problem-solving methodology DMAIC (Define-Measure-Analyze-Improve-Control) will provide the framework for the course. Graduate students will research additional industry-current Lean Six Sigma methods. Students may not receive credit for both IME-476 and IME-676.
Lecture: 4, Lab 0, Other 0