Scheduling maintenance during production scheduling in multi-factory supply chain

F. T. S. Chan, S. H. Chung, T. C. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


In recent years, many companies have been changing their framework from traditional single-factory to multi-factory production in order to increase their international competitiveness because of globalization. These factories may be geographically distributed in different locations. Production scheduling in multi-factory environments can be classified as Distributed Scheduling (DS) problems. One of the main focuses in DS is to maximize the system reliability and the resources utilization. However, many existing literatures usually ignored machine maintenance during the production scheduling. In reality, every machine requires maintenance, and the maintenance policy applied will directly influence the machine availability, and consequently the production scheduling. This paper applies a genetic optimization approach named Genetic Algorithm with Dominant Gene (GADG) to deal with the problem and demonstrates the significance of scheduling maintenance during DS.

Original languageEnglish
Title of host publicationICQR 2007
Subtitle of host publicationProceedings of the 5th International Conference on Quality and Reliability
Place of PublicationSingapore
Number of pages6
Publication statusPublished - 2008
Event5th International Conference on Quality and Reliability, ICQR 2007 - Chiang Mai, United Kingdom
Duration: 5 Nov 20077 Nov 2007


Conference5th International Conference on Quality and Reliability, ICQR 2007
Country/TerritoryUnited Kingdom
CityChiang Mai


  • genetic algorithms
  • maintenance
  • production control
  • reliability
  • supply chains
  • distributed scheduling
  • genetic optimization
  • international competitiveness
  • machine availability
  • machine maintenance
  • multi-factory environments
  • production scheduling
  • resources utilizations

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