Simulation Analysis of Flexible Manufacturing Systems Using RENSAM
- 116 Downloads
Simulation has become the most widely used computer based performance evaluation tool for FMS design and analysis due to the complexity of the interaction of the dynamic components in these systems. Simulation models can incorporate a great level of detail and capture the time dynamic behavior of these systems. RENSAM (Rensselaer’s Simulator for Automated Manufacturing) is a generic simulation model that takes advantage of the underlying structure of manufacturing systems. RENSAM is an adaptive system’ in that it consists of a generic GPSS simulation model which provides a high level of flexibility in modeling a wide spectrum of FMS configurations. This paper presents a description of RENSAM system and its capabilities as an analysis tool are illustrated by means of a case study.
This project has been partially funded by Alcoa, GE, GM, Kodak, RCA and New York State Center for Advanced Technology.
KeywordsOrder Quantity Flexible Manufacturing System Coordinate Measuring Machine Part Type Material Handling System
Unable to display preview. Download preview PDF.
- Foley, W., S. Jain and J. Haddock, 1990, “Using Simulation Generators for Modeling Flexible Manufacturing Systems,” Progress in Simulation, (J. V. Leonard and G. W. Zobrist, Co-Editors), (Technical Report 37-87-137), forthcoming.Google Scholar
- Haddock, J., 1988, “A Simulation Generator for Flexible Manufacturing Systems Design and Control,” IIE Transactions 20:1, 22-31.Google Scholar
- Rolston, L.J., 1984, “Modeling Flexible Manufacturing Systems with MAP/1,” Proceedings: First ORSA/T1MS Flexible Manufacturing Systems Conference: Operations Research Models Applications, University of Michigan, Michigan, Ann Arbor, August, 199–204.Google Scholar
- Suri, R., 1984, “An Overview of Evaluative Models for Flexible Manufacturing Systems,” Proceedings of First ORSAITIMS Conference on FMS, 8–15.Google Scholar
- Suri, R., and G. Diehl, 1987, “Rough-Cut Modeling: An Alternative to Simulation,” CIM Review, Winter, 25–33.Google Scholar