An enhanced MPS solution for FMS using GAs

K. W. Keung, W. H. Ip, Ching Yuen Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)351-359
Number of pages9
JournalIntegrated Manufacturing Systems
Volume12
Issue number5
DOIs
Publication statusPublished - 6 Nov 2001

Keywords

  • Flexible manufacturing systems
  • Master production schedule
  • Production planning
  • Production scheduling

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering

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