The inventory replenishment planning and staggering problem: a bi-objective approach

Fayez F. Boctor () and Marie-Claude Bolduc
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Fayez F. Boctor: Université Laval
Marie-Claude Bolduc: Université Laval

4OR, 2018, vol. 16, issue 2, No 4, 199-224

Abstract: Abstract To the best of our knowledge, this paper is the first one to suggest formulating the inventory replenishment problem as a bi-objective decision problem where, in addition to minimizing the sum of order and inventory holding costs, we should minimize the required storage space. Also, it develops two solution methods, called the exploratory method (EM) and the two-population evolutionary algorithm (TPEA), to solve the problem. The proposed methods generate a near-Pareto front of solutions with respect to the considered objectives. As the inventory replenishment problem have never been formulated as a bi-objective problem and as the literature does not provide any method to solve the considered bi-objective problem, we compared the results of the EM to three versions of the TPEA. The results obtained suggest that although the TPEA produces good near-Pareto solutions, the decision maker can apply a combination of both methods and choose among all the obtained solutions.

Keywords: Evolutionary algorithms; Multi-criteria decision making; Pareto optimization; Inventory management; Heuristics; 90B05; 90B50 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10288-017-0362-2

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