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An enhanced MPS solution for FMS using GAs

K.W. Keung (Department of Manufacturing Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong)
W.H. Ip (Department of Manufacturing Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong)
C.Y. Chan (Department of Manufacturing Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong)

Integrated Manufacturing Systems

ISSN: 0957-6061

Article publication date: 1 September 2001

872

Abstract

Presents the master production scheduling (MPS) problem of a flexible manufacturing system (FMS). Earliness/tardiness production scheduling and planning (ETPSP) is one of the solutions used to integrate MRP and JIT effectively. Previous researches on ETPSP have only applied to problems of single/parallel machines with earliness and tardiness penalties on a common due date and capacity. Proposes a revised ETPSP for the purpose of developing an MPS that can fit into the FMS environment where a multiple machine capacity on multi‐processes and batch sizes is included. Outlines the application of an enhanced ETPSP method using a genetic algorithm (GA) solution to solve a multi‐product FMS production problem. Shows that the use of the improved ETPSP model can represent a real life FMS environment and that a solution can be effectively and efficiently obtained using the GA approach.

Keywords

Citation

Keung, K.W., Ip, W.H. and Chan, C.Y. (2001), "An enhanced MPS solution for FMS using GAs", Integrated Manufacturing Systems, Vol. 12 No. 5, pp. 351-359. https://doi.org/10.1108/EUM0000000005712

Publisher

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MCB UP Ltd

Copyright © 2001, MCB UP Limited

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