期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 55, 期 10, 页码 2978-2989出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2016.1277594
关键词
scheduling; heuristics; seru production system; multiskilled workers; total cost
资金
- Ministry of Science and Technology, Republic of China (Taiwan) [MOST104-2221-E-027-045]
This paper investigates the multiskilled worker training and assignment (MWT&A) problem of the seru production system (SPS), which is a new type of assembly line configured as multiple assembly cells, or so-called serus. The configuration of the SPS emphasises production efficiency and flexibility, achieved by multiskilled workers (MWs) able to cope with the demand of high-variety and low-volume manufacturing. Well-arranged and trained MWs are viewed as a critical factor when it comes to enhancing the performance of SPSs. This paper studies the MWT&A problem in the SPS with the aim of minimising the total cost, specifically, the workers' training cost and the balance cost of processing times of the MWs in serus. This study provides an applicable mathematical programming model and designs a two-phase heuristic, named the SAIG algorithm, to effectively and efficiently solve this problem. The performance of the proposed algorithm is demonstrated by a comparison with the state-of-the-art heuristic through a series of computational experiments.
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