Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24727
Title: Decision-making on multi-mould maintenance in production scheduling
Authors: Wong, CS
Chan, FTS 
Chung, SH
Keywords: Genetic algorithm
Joint scheduling
Mould maintenance
Issue Date: 2014
Publisher: Taylor & Francis
Journal: International journal of production research 
Abstract: 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.
URI: http://hdl.handle.net/10397/24727
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207543.2014.900200
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