Manufacturing Systems II
Learn how to analyze manufacturing systems to optimize performance and control costs and better understand the flow of material and information.
Course Information
Certificate Track
Learn for Free
About this Course
Manufacturing systems are complex systems that require analytical analysis. Managers and practitioners use a wide variety of methods to analyze and optimize the performance of manufacturing systems and control costs.
In this course, part of the Principles of Manufacturing MicroMasters program, you will learn about Multi-Part-Type Manufacturing Systems. We will discuss Material Requirements Planning (MRP), Multi-Stage Control and Scheduling as well as Simulation and Quality.
This course will enableyou to develop an intuition about stochastic production lines.You will understand the importance and cost of inventory buffers, run basic simulation and optimizations and develop a policy to manage production systems.
The topics that we cover will provide the basis for you to continue into the manufacturing field in roles such as an operations manager and supply chain manager.
This course should be taken in sequence following Introduction to Manufacturing Systems.
Develop the skills needed for competence and competitiveness in today’s manufacturing industry with the Principles of Manufacturing MicroMasters Credential, designed and delivered by MIT’s #1-ranked Mechanical Engineering department in the world. Learners who pass the 8 courses in the program will earn the MicroMasters Credential and qualify to apply to gain credit towards MIT’s Master of Engineering in Advanced Manufacturing & Design program.
What you'll learn
- Understand the application of stochastic production line models
- Issues to consider in the design and use of simulations
- Material requirements planning (MRP) to better manage manufacturing processes
Prerequisites
Must have completed Introduction to Manufacturing Systems I. In addition to having knowledge and comfortablity with undergraduate-level calculus, probability and statistics.
Meet your instructors
Stanley B. Gershwin
Senior Research Scientist
Stanley B. Gershwin is a Senior Research Scientist at the MIT Department of Mechanical Engineering. He received the B.S. degree in Engineering Mathematics from Columbia University, New York, New York, in 1966; and the M.A. and Ph.D. degrees in Applied Mathematics from Harvard University, Cambridge, Massachusetts, in 1967 and 1971. In 1970-71, he was employed by the Bell Telephone Laboratories in New Jersey, where he studied telephone hardware capacity estimation. At the C. S. Draper Laboratory in Cambridge, Massachusetts, from 1971-75, he investigated problems in manufacturing and in transportation. He worked in the MIT Laboratory for Information and Decision Systems (LIDS) during 1975-1987. He was Professor of Manufacturing Engineering at the Boston University College of Engineering (half time) in 1986-1987. Dr. Gershwin currently teaches an MIT course in Manufacturing Systems Analysis (2.852). He has been a member of the MIT Laboratory for Manufacturing and Productivity since 1988. Dr. Gershwin is the author of Manufacturing Systems Engineering (Prentice-Hall, 1994) and numerous papers in international journals. The Institute of Industrial Engineers has given two awards for his paper "Design and Operation of Manufacturing Systems --- The Control-Point Policy,'' (IIE Transactions, Volume 32, Number 2, pp. 891-906, October, 2000) the Best Paper Award for the IIE Transactions focus issues on Design and Manufacturing for 2000-2001, and the Outstanding IIE Publication Award for 2000-2001. An article has appeared in IIE Solutions on Dr. Gershwin and these awards. The Institute of Industrial Engineers has selected "Information inaccuracy in inventory systems: stock loss and stockout," (IIE Transactions, Volume 37, Number 9, September 2005, pp. 843859) by Yun Kang and Stanley B. Gershwin for the Best Paper of the Year in IIE Transactions on Design & Manufacturing. His research interests include real-time scheduling and planning in manufacturing systems; hierarchical control; dynamic programming in hybrid (discrete and continuous state) systems; decomposition methods for large scale systems; approximation techniques. His major research goal is the development of an engineering theory of manufacturing systems control. Dr. Gershwin and his students have performed research projects and consulted for such companies as Boeing, General Motors, Polaroid, Hewlett Packard, Johnson & Johnson, United Technologies, and others. Dr. Gershwin is a member of the IEEE Control Systems Society, the IEEE Robotics and Automation Society, the Operations Research Society of America, the Institute of Industrial Engineers, and the Society of Manufacturing Engineers. He has been an Associate Editor of several international journals, including International Journal of Production Research, Operations Research, IEEE Transactions on Automatic Control, and others. Dr. Gershwin was an IEEE Control Systems Society Distinguished Lecturer and is a Fellow of the IEEE. Dr. Gershwin is affiliated with MIT's Laboratory for Manufacturing and Productivity, Leaders for Manufacturing Program , and the Operations Research Center.
