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Integrated optimization of location assignment and sequencing in multi-shuttle automated storage and retrieval systems under modified 2n-command cycle pattern

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posted on 2016-12-08, 07:01 authored by Peng Yang, Yongfei Peng, Bin Ye, Lixin Miao

This article explores the integrated optimization problem of location assignment and sequencing in multi-shuttle automated storage/retrieval systems under the modified 2n-command cycle pattern. The decision of storage and retrieval (S/R) location assignment and S/R request sequencing are jointly considered. An integer quadratic programming model is formulated to describe this integrated optimization problem. The optimal travel cycles for multi-shuttle S/R machines can be obtained to process S/R requests in the storage and retrieval request order lists by solving the model. The small-sized instances are optimally solved using CPLEX. For large-sized problems, two tabu search algorithms are proposed, in which the first come, first served and nearest neighbour are used to generate initial solutions. Various numerical experiments are conducted to examine the heuristics’ performance and the sensitivity of algorithm parameters. Furthermore, the experimental results are analysed from the viewpoint of practical application, and a parameter list for applying the proposed heuristics is recommended under different real-life scenarios.

Funding

This work is supported by the National Natural Science Foundation of China [grant number 71202022], the National Natural Science Foundation of China [grant number 71572090], Guangdong Nature Science Foundation [grant number 2015A030313824] and Shenzhen City Special Strategic Emerging Industry Development [grant number JCYJ20150331151358130].

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