Production simulator system for flexible routing optimization in flexible manufacturing systems

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Optimizing flexible routing in flexible manufacturing systems ameliorates the efficiency of flexible manufacturing systems. In the present competitive market, accuracy in the planning stage plays an important role. Therefore, in this article, a production simulator system based on genetic algorithms is utilized to find the near-optimal flexible routing for flexible manufacturing systems. A combination of production simulator system and genetic algorithms is introduced to find the appropriate order of a set of operations for jobs that need to be operated on available machine tools in flexible manufacturing systems. In order to augment genetic algorithms, a matrix encoding method is incorporated. The proposed simulation is applied to numerical case studies of flexible routing for flexible manufacturing systems problem. The purpose of case studies is to demonstrate the successful applicability of the proposed method for flexible routing for flexible manufacturing systems problem.

Original languageEnglish
Pages (from-to)1237-1247
Number of pages11
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume231
Issue number7
DOIs
Publication statusPublished - May 1 2017
Externally publishedYes

Keywords

  • Flexible manufacturing system
  • flexible routing
  • genetic algorithms
  • production simulator

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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