A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system

Behnam Vahdani and M. Mohammadi

International Journal of Production Economics, 2015, vol. 170, issue PA, 67-87

Abstract: This paper presents a bi-objective optimization model for designing a closed loop supply chain (CLSC) network under uncertainty in which the total costs and the maximum waiting times in the queue of products are considered to minimize. A general multi-priority and multi-server queuing system for parallel processing execution is proposed. Also a new hybrid solution approach is introduced based on interval programming, stochastic programming, robust optimization approach, and fuzzy multi-objective programming. Furthermore, a meta-heuristic algorithm called self-adaptive imperialist competitive algorithm (SAICA) is put forward for the given problem. Then, in order to evaluate the quality of the solutions obtained by this algorithm, a lower bound procedure is investigated. Finally, various computational experiments are carried out to assess the proposed model and solution approaches.

Keywords: Closed-loop supply chains; Meta-heuristics; Priority queues; Uncertainty modeling (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:170:y:2015:i:pa:p:67-87

DOI: 10.1016/j.ijpe.2015.08.020

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