SRBFO algorithm for production scheduling with mold and machine maintenance consideration

Ben Niu, Ying Bi, Tung Sun Chan, Z. X. Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A good production scheduling integrated with preventive maintenance scheduling scheme is significant for maintaining a higher reliability and stability for manufactory system. In this paper production scheduling problem with mold and machine maintenance (PS-MMS) consideration is studied and solved by structure-redesign-based bacterial foraging optimization (SRBFO) algorithm. PPS-MMS is a typical discrete combination optimization problem that allocating a certain number of jobs to available machine and mold and integrating maintenance activities for machine and mold with production activities. Unlike traditional maintenance activities operated with fixed duration, the maintenance duration in our PS-MMS model is varying with the usage age of machine/mold. To obtain a better solution for this difficult problem in acceptable time, SRBFO is adopted by encoding and decoding of bacteria on every dimension so that each bacterium can represent a potential solution. Five different scale instances were selected as test problems, experimental results demonstrated that SRBFO is more suitable than PSO to deal with PS-MMS problem in terms of the stability from the best solutions.
Original languageEnglish
Title of host publicationIntelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings
PublisherSpringer Verlag
Pages733-741
Number of pages9
ISBN (Print)9783319221854
DOIs
Publication statusPublished - 1 Jan 2015
Event11th International Conference on Intelligent Computing, ICIC 2015 - Fuzhou, China
Duration: 20 Aug 201523 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9226
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Intelligent Computing, ICIC 2015
Country/TerritoryChina
CityFuzhou
Period20/08/1523/08/15

Keywords

  • Barterial foraging
  • Machine maintenance
  • Mold maintenance
  • Production scheduling
  • Structure redesigned

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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