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Today’s competitive environment with increasing complexity, interdisciplinary degree could add a great value. To prepare students for the real-world challenges, the A. Leon Linton Department of Mechanical Engineering offers a dual degree in Master of Science in Industrial Engineering (MSIE) and Master of Engineering Management (MEM). Interdisciplinary work supports the dual degree programs. A dual degree is not a joint degree or a double degree. A dual degree is two separate degrees, one of which is granted by the MSIE program and one of which is granted by the MEM program. Getting a dual degree is a great way to enhance the value of the engineering education.
Candidates for dual-degree programs must meet the separate admissions criteria and degree requirements of each program. Through credit sharing, students in a dual-degree program can satisfy the requirements for degrees in two related disciplines in less time and at less expense than would otherwise be possible. Students interested in a dual-degree program can apply to both programs at the same time. One is a primary program and the other will be a secondary program. Students who are already enrolled in one program may enroll in the dual-degree program.
Industrial engineers are concerned with increasing productivity through people, methods, and technology with careful study of the product requirements, design, manufacturing, and information systems. As companies look to reduce costs and raise productivity, they increasingly will turn to industrial engineers to develop efficient processes and reduce costs, delays, and waste. Engineers seeking to move up the career ladder are getting master’s degrees in engineering management. Companies could see greater value added in engineers with a dual program (MSIE + MEM).
The dual program for the Master of Science in Industrial Engineering (MSIE) and Master of Engineering Management (MEM) at Lawrence Tech is designed so that students will obtain advanced knowledge of industrial engineering and engineering management to be successful in a real-world environment. The dual program requires a total of 51 course credits, including all the core courses from both programs.
Course Name
Course #
Credits
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 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
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
The objective of this course is to provide graduate students with advanced knowledge in production planning and control. Topics will cover: inventory control, material requirement planning, manufacturing resource planning, the total quality organization, basic factory dynamics, variability basics, influence of variability on performance, 5s program/value steram mapping, shop floor control/one-piece flow, time workforce planning, supply chain management, capacity management and waste reduction techniques.
EMS6713
3
Course Name
Course #
Credits
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
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
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
Global manufacturing and the new challenges. Manufacturing and engineering business systems and organizations. Management responsibilities and contributions to strategic planning. Management of resource in a manufacturing enterprise. Industrial relations and collective bargaining. Management of technology. How to reward achievers. Manufacturing organization for the future.
EEM6803
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
Course Name
Course #
Credits
Receiving/usage/storage/disposal/transportation and recycling of hazardous materials, that are used in a variety of industries such as, automotive, steel, fabricating, construction, paint, manufacturing, plastic and petroleum. Effects of temperature and pressure changes on hazardous materials are explored. New methods of waste minimization source control technology and quality assurance applications in handling the materials are explored in accordance with Federal EPA laws and standards.
EEM6143
3
This course is developed to provide graduate students with advanced knowledge of the following: Managing the Engineering Function, Characteristics of engineering managers, and their decisions in engineering environment, Effective planning of managing engineering functions, Managing complex engineering systems, Managing diversity in multicultural organization, Operations management, Project management, Resources management, Total quality management, Quality management systems, time management and value management.
EEM6723
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
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.
EIE5513
3
This course explains the principles of reliability and maintainability engineering. It explains the reliability viewpoints: reliability metrics, customer perception, and things engineers do. It focuses on the reliability cycle and functional engineering activities in the product life cycle. The students will apply reliability and maintainability modeling techniques in product design. They will apply reliability tools and methods for analysis and product reliability problems in the product design process, product reliability testing, and maintaining and/or improving reliability and quality in production. Topics include: basic reliability models, constant failure rate model, time-dependent models, reliability of systems, state-dependent systems, design for reliability, maintainability, design for maintainability, availability, the analysis of failure data, reliability estimation and applications. Competencies and collaborative e-learning will be demonstrated by students conducting reliability and/or maintainability projects. A project report and an oral presentation are required from each team.
EIE5613
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.
EIE5623
3
This course covers a new or specialized topic in industrial engineering for which there is a strong faculty and student interest, but is not covered in other courses.
EIE5983
3
Relationship between product engineering and manufacturing engineering. Casting processes, bulk deformation processes, sheet metal processes, joining & welding processes, single-cutting-edge operations, multi-cutting-edge operations, random-cutting, edge operations, non-traditional machining, design for fabricability, the factory of the future.
EMS6203
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
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
The course is designed to provide professionals and managers with a broad understanding of leadership concepts, theories, and skills necessary for practicing leadership in the global economy. The course focuses on a variety of techniques and applications for assessing leadership competencies and generating action plans for applying leadership skills. The course emphasizes the requirements for effective leadership in multi-cultural organizations and the development of personal leadership skills.
MBA6043
3
This course is designed to provide students with the necessary skills, tools, and techniques to effectively manage a major project on time, within budget and with successful results. The course focuses on planning and control over the life of the project with an emphasis on Project Management Institute (PMI) best practices and real life scenarios. The course will cover project lifecycle planning, PERT and CPM, computer based project control tools, resource loading, scheduling, costing, and decision making in the project environment.
MBA7056
3
Interactions between business entities and society at large in an ethical framework. By examining society’s values and needs and the ethical assumptions, attitudes, values and behavior of business institutions, future managers have a basis for making ethical decisions that affect society. Balancing the needs and the values of organizations with those of society represents the significant ethical dilemma. A systematic view of the place of business institutions enables managers to determine the effect of their actions on society. Both conceptual and applied considerations are given weight.
MGT6043
3
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