Scheduling maintenance during production scheduling in multi-factory supply chain

Tung Sun Chan, Sai Ho Chung, T. C. Wong

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


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 - Proceedings of the 5th International Conference on Quality and Reliability
PublisherResearch Publishing Services
Number of pages6
ISBN (Print)9789810594046
Publication statusPublished - 1 Jan 2008
Externally publishedYes
Event5th International Conference on Quality and Reliability, ICQR 2007 - Chiang Mai, Thailand
Duration: 5 Nov 20077 Nov 2007


Conference5th International Conference on Quality and Reliability, ICQR 2007
CityChiang Mai

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality


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