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Are you the type of person who looks for opportunities to improve and streamline systems? LTU’s Master of Science in Industrial Engineering gives you the tools to turn those ideas into reality, helping you optimize operations, improve product quality, and reduce costs in today’s fast-paced industries.
With hands-on experience and cutting-edge techniques, this program prepares you to take on roles like Manufacturing Engineer, Quality Engineer, Process Engineer, and Systems Engineer. You’ll learn to analyze systems, design processes, and implement solutions that make a real impact on performance across manufacturing and service sectors, like
Course Name
Credits
Core Courses (6 courses)
18
Electives (1 course)
3
Thesis
9
Course Name
Credits
Core Courses (6 courses)
18
Electives (4 courses)
12
Total Credit Hours
30
Course Name
Course #
Credits
This course explains the principles of engineering systems modeling and simulation. It describes the different types of computer modeling and simulation: continuous, kinematics, and discrete-event simulations. It explains how these simulation techniques are utilized as design, analysis, problem-solving, and decision-support tools for complex engineering systems. Topics include: principles of systems modeling and simulation, types of simulation models and techniques, simulation software, queuing models, statistical models in simulation, selecting input probability distribution, building valid credible models, statistical analysis of output, and design and conduct of simulation experiments. Competencies and collaborative e-learning will be demonstrated by students conducting engineering systems simulation projects. A project report and an oral presentation are required.
EMS5603
3
Quality policies and objectives, management of quality, new product quality, production of quality. Statistical process quality control. Computers and SPQC. Methods for process improvements, preventive maintenance. Quality measure and controls in several manufacturing industries.
EMS6403
3
This course provides advanced knowledge of optimization techniques with applications in manufacturing and services. The course will focus on advanced formulation techniques to expand applications of linear programming to large-scale models, integer and combinatorial optimization, data mining techniques, search techniques including heuristics, nonlinear programming, and non-cooperative game theory.
EIE6653
3
This course provides applied knowledge of stochastic models to solve uncertain (stochastic) service operations and production systems. The concepts of random variables, stochastic processes, and random fields will be introduced. Methodologies covered include discrete and continuous time Markov processes, Poisson processes, Brownian motion, stochastic approximation including Kalman filtering and random search techniques. Applications relate to design and analysis of problems, inventory control, queuing systems, scheduling systems, services operations, game theory and decision analysis. Applications of stochastic processes will be demonstrated through student seminars.
EIE6663
3
The course covers fundamentals of production planning and control including forecasting, analysis of production-inventory systems, master producation schedule, material requirements planning, production scheduling, aggregate and capacity planning, pull planning systems and shop floor control. Its industrial applications will be addressed including computer applications.
EMS6713
3
The course will cover modern design tools and methods on the Six Sigma paradigm. Topics include tools and methods including process flow diagrams, cause and effect diagrams, gage R&R, organizational leadership, product development, system integration, critical parameter management, quality function deployment, concept generation, and strategy for organizing six sigma techniques in industry among many others. Provide useful tools to conceive new product requirements, design baseline functional performance, optimize design performance, and verify system capability.
EIE6673
3
Students may select one course from the following list:
Course Name
Course #
Credits
This course is developed to provide students with fundamentals of lean manufacturing, lean production preparation, System assessment, process value-stream mapping, sources of waste, lean production processes, workplace organization – 5S, stability, just-in-time, one piece flow, pull systems, cellular manufacturing systems, quick change and set-up reduction methods, total productive maintenance, poka-yoke, mistake proofing, continuous improvement, visual management, employee involvement, cross functional teams, involving people in the change process, importance of culture and sustaining improvement and change.
EME5513
3
This course is developed to introduce students to the various product development process tools, it will focus on understanding customer needs, establishing product function, students will be exposed to examples of product teardown and benchmarking, students will participate in practical exercises outlining engineering specifications, product portfolio, architecture, generating concepts, concept selection and concept embodiment, results will be shared with classmates and presented in class. Students are required to form teams and select case studies about modeling of product metrics, DFM/DFA/DSA/DFS/DFE, special focus will be on: design for recyclability, design for robustness and design for sustainability.
EME5623
3
Concept of Value, Value Methodology Job Plan, Value Engineering Metrics, Working with Suppliers, Functional Analysis System Techniques, Value Analysis Tear Down, Managing Multiple Value Projects, Value Leadership and Future of Value Engineering.
EEM6743
3
The need for supply chain management (SCM), Supply chain in the global environment, the consequences of SCM, the role of marketing in SCM, the dynamic role of sales function in SCM, improving supply chain sales forecasting, the evolution and growth of production in SMC, purchasing in SCM, the role of logistics in SCM, information systems in SMC, financials issues in SMC context, customer services in SCM, inter-functional coordination in SCM, measuring performance in SCM, “various case studies covering the latest research topics in SCM with particular applications in Automotive, Food Processing Industry and other Manufacturing Industries are discussed”.
EEM6753
3
Diagnosis and assessment of productivity loss, setting up productivity measurement program, productivity improvement methods, tools utilized in enterprise productivity enhancement, the lean enterprise, case studies of assessing and improving productivity programs.
EEM6583
3
Criteria for manufacturing systems selection.Characteristics of manufacturing systems. High volume production systems. Detroit-type automation, analysis of automated flow lines, assembly system and line balancing, automated assembly systems. Numerical control production systems. Adaptive control. Industrial robots: technology programming and applications. Material handling and storage systems. Flexible manufacturing systems. Automated inspection. Factory of the future.
EMS6703
3
Must have a B.S.M.E or graduate standing with approval of MAE program director. Manufacturing processes for metals, polymers, automotive manufacturing and assembly, including major sub-assemblies, engine, transmissions, stampings, body construction, paint systems, trim, electrical, powertrain, chassis. The need for new organizations and business processes, such as concurrent engineering, computer-aided manufacturing, introduction to robotics, etc. A semester field trip to a vehicle assembly plant is included.
EMS6343
3
The planning of experiments. Factorial experiments. Fractional factorial experiments. Incomplete block designs. Modeling and optimization in manufacturing.
EMS7103
3
Simulation analysis and decision making. Developing simulation models. Simulation languages for modeling. Data collection and analysis. Model verification and validation. Utilization of simulation models.
EMS7203
3
Reliability measures. Static reliability models. Probabilistic engineering design. Combination of random variables in design. Reliability design examples. Time dependent stress and strength models. Dynamic reliability models. Reliability estimation. Reliability optimization.
EMS7303
3
Design theory. Design materials. Design impact on manufacturing. Computers utilization in design for manufacturing. Design for assembly. Design for maintainability and service ability. Legal issues in design.
EMS7403
3
Role of technology in creating wealth, critical factors in managing technology, the new paradigms for management of technology, technology life cycles, technological innovation, competitiveness, business strategy and technology strategy, technological planning, acquisition and exploitation of technology, technology transfer, how America manages technology.
EMS7613
3
Three focus areas are available:
The Healthcare Systems focus provides the student with sufficient knowledge and skills for modeling, analyzing, and designing healthcare systems. Students will have an option to graduate with a Healthcare Systems focus by taking electives related on healthcare systems instead of general electives.
Healthcare Focus – Any four courses related on healthcare systems (12 credits)
Course Name
Course #
Credits
This course will introduce the students to healthcare processes. The student will learn the lifecycle of a healthcare process from a system design perspective. They will identify various healthcare delivery systems, compare them to other industry verticals like manufacturing and service industries and identify the core similarities and differences so that those attributes can be addressed in the system design. The outcome will be a process designed through the user and customer perspective. The design will include process elements and process performance metrics at various phases of a process lifecycle and learn the tools available to design the process to deliver healthcare processes that are effective, efficient, lean and reliable.
EIE6843
3
This course will introduce the students to healthcare processes management. They will identify various process performance metrics at various phases of a process lifecycle of transition, steady state and improvement/re-design. The students will learn to use the tools available to measure, analyze, report and manage the metrics to deliver healthcare processes that are effective, efficient, lean and reliable. They will also be able to identify when a healthcare process is not performing and identify tools that could be used to improve the performance.
EIE6853
3
This course will provide the student with an overview of the healthcare information systems with a specific focus on electronic medical record. The healthcare IT and the necessary systems linkages from diagnostic results to clinical charting are described. The course will focus on the integration of the various information technology functions and the impact on the efficiency and effectiveness of the healthcare operation as well as the benefits of innovation, quality, entrepreneurial thinking, etc on an applied ¿real world¿ basis. Current issues and future opportunities within information technology in healthcare systems are examined.
EIE6863
3
Emphasis on the importance and value of human factors concepts in a clinical context: work design, human resource management, and patient safety in medical and health care settings. Application of ergonomics and human factors principles to specific care settings: the operating room, the emergency room, and inpatient/outpatient settings. Human factors in health systems: study of human-computer interaction, theories of human error and human factors in medical and health care settings, appropriate clinical risk management tools and methods for use in medical and health care settings; application of appropriate quality improvement, clinical risk management tools and mitigation methods to identify, assess and manage patient safety issues in medical and health care organizations; and socio-technical aspects of successful healthcare system design.
EIE6883
3
An introduction to healthcare economics: time value of money, insurance billing, hospital revenues and costs, staffing costs, demand management, impact of regulation and reimbursement; economic incentives in health care, health insurance and healthcare financing, allocation of health and long-term care resources, apportioning methods and break even analysis. Techniques for economic evaluation in Healthcare. Analysis of financial implications of day to day operational decisions and long term impacts. Cost containment techniques applied to healthcare; cost drivers and value engineering. Contemporary topics on third party payers and insurers, price or rate setting and taxation and alternative organizations.
EIE6893
3
Distribution of healthcare products is a great challenge for the healthcare logistics system. Healthcare logistics can help for faster delivery, reduced medical errors and prevention of fraud and abuse and can cut operation costs and result in lower patient care costs. This course is designed to equip students with tools to understand and analyze problems in the rapidly changing health care delivery environment. It focuses on planning, implementing and controlling the efficient, effective flow and storage of goods, services and related information for healthcare related logistics. It includes identifying the clinical and healthcare delivery processes, shortages, substitutability and efficiency in hospitals¿ production, and, marketing health services.
EIE6873
3
Recent experience in the world has shown that quality becomes an important factor in manufacturing and service industries for their business success and growth. Effective quality improvement programs provide a significant competitive advantage. This quality focus provides the student with sufficient knowledge and skills for improving quality and productivity in manufacturing and service organizations using modern quality concepts, tools, and techniques to develop, implement and maintain systems.
Quality Focus – Any four courses related on quality (12 credits)
Course Name
Course #
Credits
Quality policies and objectives, management of quality, new product quality, production of quality. Statistical process quality control. Computers and SPQC. Methods for process improvements, preventive maintenance. Quality measure and controls in several manufacturing industries.
EMS6403
3
The course will cover modern design tools and methods on the Six Sigma paradigm. Topics include tools and methods including process flow diagrams, cause and effect diagrams, gage R&R, organizational leadership, product development, system integration, critical parameter management, quality function deployment, concept generation, and strategy for organizing six sigma techniques in industry among many others. Provide useful tools to conceive new product requirements, design baseline functional performance, optimize design performance, and verify system capability.
EIE6673
3
Fundamentals of Quality Engineering, Fundamentals of Statistical Studies, Basic Probability and Statistics, Stabilizing and Improving a Process with Control Charts, Attribute, Variable & Out of Control Charts, Defining and Documenting a Process, Diagnosing a Process, Process Capability and Improvement Studies, Six Sigma applications, Process Mapping, Process Variability, Manufacturing Quality Assurance Systems, Quality Standards, ISO 9000:2000, ISO 14000, TS16949 Standards.
EEM6763
3
The planning of experiments. Factorial experiments. Fractional factorial experiments. Incomplete block designs. Modeling and optimization in manufacturing.
EMS7103
3
Reliability measures. Static reliability models. Probabilistic engineering design. Combination of random variables in design. Reliability design examples. Time dependent stress and strength models. Dynamic reliability models. Reliability estimation. Reliability optimization.
EMS7303
3
Due to globalization, companies are looking to supply chain and logistics for their strategic and competitive advantages. The supply chain focus provides a foundation in supply chain and logistics systems with national and global perspectives. It provides proficiency in problem solving, analytical methods, and decision-making processes in a wide variety of industries, including manufacturing, retail, logistics, distribution, healthcare, defense, service, and software.
Supply Chain Focus – Any four courses related on supply chain (12 credits)
Course Name
Course #
Credits
The course covers fundamentals of production planning and control including forecasting, analysis of production-inventory systems, master producation schedule, material requirements planning, production scheduling, aggregate and capacity planning, pull planning systems and shop floor control. Its industrial applications will be addressed including computer applications.
EMS6713
3
The need for supply chain management (SCM), Supply chain in the global environment, the consequences of SCM, the role of marketing in SCM, the dynamic role of sales function in SCM, improving supply chain sales forecasting, the evolution and growth of production in SMC, purchasing in SCM, the role of logistics in SCM, information systems in SMC, financials issues in SMC context, customer services in SCM, inter-functional coordination in SCM, measuring performance in SCM, “various case studies covering the latest research topics in SCM with particular applications in Automotive, Food Processing Industry and other Manufacturing Industries are discussed”.
EEM6753
3
Course not found.
MIS6113
3
Course not found.
MIS7643
3
Special Topic on Customer Relationship Management (CRM)
Special Topic on Enterprise Resource Planning (ERP) and MRP II
Special Topic on Logistics
Special Topic on Warehousing
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