Decision-making on multi-mould maintenance in production scheduling

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)


The reliability of a critical tool like a mould on a machine affects the productivity seriously in many manufacturing firms. In fact, its breakdown frequency is even higher than machines. The decision-making on when mould maintenance should be started become a challenging issue. In the previous study, the mould maintenance plans were integrated with the traditional production schedules in a plastics production system. It was proven that considering machine and mould maintenance in production scheduling could improve the overall reliability and productivity of the production system. However, the previous model assumed that each job contained single operation. It is not workable in other manufacturing systems such as die stamping which may contain multiple operations with multiple moulds in each job. Thus, this study models a new problem for multi-mould production-maintenance scheduling. A genetic algorithm approach is applied to minimise the makespan of all jobs in 10 hypothetical problem sets. A joint scheduling (JS) approach is proposed to decide the start times of maintenance activities during scheduling. The numerical result shows that the JS approach has a good performance in the new problem and it is sensitive to the characteristic of the setup time defined.
Original languageEnglish
Pages (from-to)5640-5655
Number of pages16
JournalInternational Journal of Production Research
Issue number19
Publication statusPublished - 1 Jan 2014


  • genetic algorithm
  • joint scheduling
  • mould maintenance

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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