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Studying unbalanced workload and buffer allocation of production systems using multi-objective optimisation
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and automation engineering)ORCID iD: 0000-0003-0111-1776
Department of Strategy, ESC La Rochelle, La Rochelle, France.
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and automation engineering)ORCID iD: 0000-0002-9643-6233
2017 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 55, no 24, p. 7435-7451Article in journal (Refereed) Published
Abstract [en]

Numerous studies have investigated the effects of unbalanced service times and inter-station buffer sizes on the efficiency of discrete part, unpaced production lines. There are two main disadvantages of many of these studies: (1) only some predetermined degree of imbalance and patterns of imbalance have been evaluated against the perfectly balanced configuration, making it hard to form a general conclusion on these factors; (2) only a single objective has been set as the target, which neglects the fact that different patterns of imbalance may outperform with respect to different performance measures. Therefore, the aim of this study is to introduce a new approach to investigate the performance of unpaced production lines by using multiple-objective optimisation. It has been found by equipping multi-objective optimisation with an efficient, equality constraints handling technique, both the optimal pattern and degree of imbalance, as well as the optimal relationship among these factors and the performance measures of a production system can be sought and analysed with some single optimisation runs. The results have illustrated that some very interesting relationships among the key performance measures studied, including system throughput, work-in-process and average buffer level, could only be observed within a truly multi-objective optimisation context. While these results may not be generalised to apply to any production lines, the genericity of the proposed simulation-based approach is believed to be applicable to study any real-world, complex production lines.

Place, publisher, year, edition, pages
2017. Vol. 55, no 24, p. 7435-7451
National Category
Computer Sciences Computer Systems Production Engineering, Human Work Science and Ergonomics Other Mechanical Engineering
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14730DOI: 10.1080/00207543.2017.1362121ISI: 000423135100011Scopus ID: 2-s2.0-85027107431OAI: oai:DiVA.org:his-14730DiVA, id: diva2:1181390
Available from: 2018-02-08 Created: 2018-02-08 Last updated: 2018-05-14Bibliographically approved

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Ng, Amos H. C.Bernedixen, Jacob

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