A Decision Support System Based on a Genetic Algorithm for the Utilization of Leftovers

Hsin Pin Fu, Cheng-Yuan Ku, Tsung Sheng Chang*

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

There are usually some leftovers (usable pieces of raw material) and scraps (unusable pieces of raw material).generated after the completion of a manufacturing process. These leftovers consist of many different types, materials, styles and sizes so the use of such materials is difficult to manage, resulting in a significant material management problem for manufacturers. This study examines ways to use these leftovers and proposes the application of a genetic algorithm to handle the problem of matching usable leftovers to incoming orders. In order to verify the feasibility of the solution, a decision support system was implemented, based on a genetic algorithm. With lots of experimental results, we conclude this method is thus of considerable value to the managers of manufacturing factories.

Original languageEnglish
Pages (from-to)483-496
Number of pages14
JournalInternational Journal of Computational Intelligence Systems
Volume9
Issue number3
DOIs
StatePublished - 3 May 2016

Keywords

  • Decision support system (DSS)
  • Genetic algorithm (GA)
  • Matching problem
  • Optimization
  • Scraps
  • Usable leftovers

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