The use of simulation in the optimization of a cellular manufacturing system

Authors:
Stacy M. Sammons;Jeffery K. Cochran
Affiliations:
Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ;Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ
Venue:
WSC '96 Proceedings of the 28th conference on Winter simulation
Year:
1996

Citing 2
Cited 1

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Abstract

In the evaluation of a cellular manufacturing system, multiple factors should be considered, including the flow of the parts and the assignment of the workers. Simulation techniques can be effectively used in order to understand and optimize the behavior of the system. In this paper, a work cell is evaluated by means of discrete simulation using SLAM It. An optimization method is presented to determine the best alternative among proposed changes to the system. The structure of the approach allows the optimization to be performed with direction given by management. The results reveal that priority ranking of the parts, automated testing, and distributed job functions implemented together would produce the most significant improvement in the utilization of the team members.