An optimization-simulation approach for performance evaluation of cellular layouts

Authors:
K. Eswaraiah;C. S. P. Rao
Affiliations:
Manufacturing Simulation Laboratory, Department of Mechanical Engineering, National Institute of Technology, Warangal, India;Manufacturing Simulation Laboratory, Department of Mechanical Engineering, National Institute of Technology, Warangal, India
Venue:
ACMOS'05 Proceedings of the 7th WSEAS international conference on Automatic control, modeling and simulation
Year:
2005

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A review and analysis of comparative performance studies on functional and cellular manufacturing layouts

Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning

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Abstract

The objective of this paper is to develop and integrate optimization and simulation tools for conversion of functional layouts into cellular layouts and to evaluate the performance measures of such Cellular Manufacturing Systems (CMS). Cellular Manufacturing (CM) applies the concept of group technology and re-configuration of the facilities in the factory. The design of CMS is a multi-objective and multi faceted problem. The paper describes the use of Genetic Algorithms, ProModel software and Excel interface with ODBC for the design of CMS. The proposed model consists of two phases. In the First phase, the existing functional layout is modeled in ProModel, and the various performance measures of the system were studied. In the second phase, the modeled layout is converted into Cellular layout using genetic algorithm optimization technique and the same is simulated in ProModel through interface module. The performance measures like material transportation times, utilization of the resources and cell utilization are compared. The test result indicates that the cellular layouts are viable alternate for effective utilization of resources and enhanced production of an organization.