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A Benders decomposition approach to product location in carousel storage systems

Raymond G. Vickson, Elkafi Hassini () and Nader Azad
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Raymond G. Vickson: University of Waterloo
Elkafi Hassini: McMaster University
Nader Azad: University of Ontario Institute of Technology

Annals of Operations Research, 2020, vol. 284, issue 2, No 8, 623-643

Abstract: Abstract In this paper we discuss the problem of locating items within carousel bins in order to minimize the average carousel rotational distance per retrieval. We consider two cases: (1) a single two-dimensional carousel and (2) a group of two one-dimensional carousels. The corresponding problems are formulated as mixed-integer programs. In the second problem we apply concepts from Markovian performance evaluation methods to write the objective functions in a simple linear form. We also define a set of uniqueness constraints that significantly reduces the size of the solution feasibility space. We then apply Benders decomposition algorithm to solve both problems. We develop a closed form solution for the dual subprobem and present numerical results to show the efficiency of the proposed solution methodology.

Keywords: Benders decomposition; Carousel systems; Storage location; Quadratic assignment problem (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10479-019-03274-3

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