 Minimising total cost for training and assigning multiskilled workers in production systemsKuo-Ching Ying and Yi-Ju Tsai International Journal of Production Research, 2017, vol. 55, issue 10, 2978-2989 Abstract: 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. Date: 2017 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:55:y:2017:i:10:p:2978-2989 Ordering information: This journal article can be ordered from DOI: 10.1080/00207543.2016.1277594 Access Statistics for this article International Journal of Production Research is currently edited by Professor A. Dolgui More articles in International Journal of Production Research from Taylor & Francis Journals |
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