2.854
Introduction to Manufacturing Systems
Provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, forecasting, optimization, process analysis, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, and dynamic behavior of production systems. Graduate students are required to complete additional assignments.
Fall 2016
Topics
- Manufacturing Systems Overview
- Probability
- Queueing Systems
- Queueing Systems (cont.)
- Inventory
- Optimization
- Optimization (cont.)
- Single-Part-Type Systems
- Single-Part-Type Systems (cont.)
- Single-Part-Type, Multiple-Stage Systems
- Material Requirements Planning
- Multi-Stage Control and Scheduling
- Multi-Stage Control and Scheduling (cont.)
- Simulation
- Toyota Production System
- Quality / Quantity Interactions
- Analysis, Control, and Design of Stochastic Flow Systems with Limited Storage
- The Control Point Policy
- Recycling Systems Engineering
Readings
- There will be no required textbook. Portions of the following books will be helpful.
- Gershwin, Stanley B. Manufacturing Systems Engineering . Prentice Hall, 1993. ISBN: 9780135606087.
- Monden, Yasuhiro. Toyota Production System: Practical Approach to Production Management . Industrial Engineering and Management Press, 1983. ISBN: 9780898060348.
- Viswanadham, N., and Y. Narahari. Performance Modeling of Automated Manufacturing Systems . Prentice Hall, 1994. ISBN: 9788120308701.
- Buzacott, John A., and J. George Shanthikumar. Stochastic Models of Manufacturing Systems . Pearson, 1993. ISBN: 9780138475673.
- Askin, Ronald G., and Charles R. Standridge. Modeling and Analysis of Manufacturing Systems . Wiley, 1993. ISBN: 9780471514183.
- Li , Jingshan, and Semyon M. Meerkov. Production Systems Engineering . Springer, 2008. ISBN: 9780387755780.
- Goldratt, Eliyahu M., and Jeff Cox. The Goal: A Process of Ongoing Improvement . 3rd ed. North River Press, 2014. ISBN: 9780884271956.
- Drake, Alvin W. Fundamentals of Applied Probability Theory . Mcgraw-Hill College, 1967. ISBN: 9780070178151.
- Ross, Sheldon M. Introduction to Probability and Statistics for Engineers and Scientists . Wiley, 1987. ISBN: 9780471817529.
- Hillier, Frederick S., and G. J. Lieberman. Introduction to Stochastic Models in Operations Research . McGraw-Hill, 1990. ISBN: 9780070289383.
- Kleinrock, Leonard. Queueing Systems, Volume 1: Theory . Wiley-Interscience, 1975. ISBN: 9780471491101.
- Chen, Hong, and David D. Yao. Fundamentals of Queueing Networks: Performance, Asymptotics, and Optimization (Stochastic Modelling and Applied Probability) . Springer, 2001. ISBN: 9780387951669.
- McLain, John O., and L. Joseph Thomas. Operations Management: Production of Goods and Services . Prentice-Hall, 1985. ISBN: 9780136376200.
- Box, George E. P., William G. Hunter, and J. Stuart Hunter. Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building . John Wiley and Sons, 1978. ISBN: 9780471093152.
- Pankratz, Alan. Forecasting with Dynamic Regression Models . Wiley-Interscience, 1991. ISBN: 9781853105845.
- Hillier, Frederick S., and Gerald J. Lieberman. Introduction to Mathematical Programming (MAC) . McGraw-Hill Science / Engineering / Math, 1995. ISBN: 9780079118301.
- Luenberger, David G. Introduction to Linear and Nonlinear Programming . Addison-Wesley, 1973. ISBN: 9780201043457.
- Law, Averill M., and D. Kelton. Simulation Modeling and Analysis . McGraw-Hill Education, 2014. ISBN: 9780073401324.
- Denardo, Eric V. The Science of Decision Making: A Problem-Based Approach Using Excel . Wiley, 2001. ISBN: 9780471318279.
- Luenberger, David G. Introduction to Dynamic Systems: Theory, Models, and Applications . Wiley, 1979. ISBN: 9780471025948.
Prerequisites & course information
Subject meets with 2.853 Prereq: Undergraduate mathematics G (Fall) 3-0-9 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2016
- MIT OCW calendar ↗
- MIT OCW readings ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.