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A bi-objective combination optimisation model for line-seru conversion based on queuing theory

A bi-objective combination optimisation model for line-seru conversion based on queuing theory Although seru production system is one of responsive and flexible systems to cope with the uncertain demands or changes in the volatile market, seru design and worker assignment are still complex problems with the changeable environment and stochastic requirements. In this paper, based on queueing theory, seru production system is addressed to form suitable serus for maximising the utilisation of workers. In addition, faced to the stochastic orders, arranging different orders to corresponding serus is another optimal problem. In this case, a bi-objective combination optimisation model is proposed to confirm serus formation and arrange product orders among different serus. In order to solve this stochastic nonlinear model, an effective heuristic algorithm is designed. Finally, a numerical example is presented to validate the effectiveness of proposed model and algorithm. [Received 16 June 2016; Accepted 1 December 2016] Keywords: line-seru conversion; queuing theory; bi-objective; heuristic algorithm. Reference to this paper should be made as follows: Shao, L., Zhang, Z. and Yin, Y. (2016) `A bi-objective combination optimisation model for line-seru conversion based on queuing theory', Int. J. Manufacturing Research, Vol. 11, No. 4, pp.322­338. Biographical notes: Luming Shao is a Master candidate of School of Economics and Management, Nanjing University http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

A bi-objective combination optimisation model for line-seru conversion based on queuing theory

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2016.082821
Publisher site
See Article on Publisher Site

Abstract

Although seru production system is one of responsive and flexible systems to cope with the uncertain demands or changes in the volatile market, seru design and worker assignment are still complex problems with the changeable environment and stochastic requirements. In this paper, based on queueing theory, seru production system is addressed to form suitable serus for maximising the utilisation of workers. In addition, faced to the stochastic orders, arranging different orders to corresponding serus is another optimal problem. In this case, a bi-objective combination optimisation model is proposed to confirm serus formation and arrange product orders among different serus. In order to solve this stochastic nonlinear model, an effective heuristic algorithm is designed. Finally, a numerical example is presented to validate the effectiveness of proposed model and algorithm. [Received 16 June 2016; Accepted 1 December 2016] Keywords: line-seru conversion; queuing theory; bi-objective; heuristic algorithm. Reference to this paper should be made as follows: Shao, L., Zhang, Z. and Yin, Y. (2016) `A bi-objective combination optimisation model for line-seru conversion based on queuing theory', Int. J. Manufacturing Research, Vol. 11, No. 4, pp.322­338. Biographical notes: Luming Shao is a Master candidate of School of Economics and Management, Nanjing University

Journal

International Journal of Manufacturing Research – Inderscience Publishers

Published: Jan 1, 2016

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