Approximation Algorithms for the Capacitated Multi-Item Lot-Sizing Problem via Flow-Cover Inequalities

Approximation Algorithms for the Capacitated Multi-Item Lot-Sizing Problem via Flow-Cover Inequalities

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Article ID: iaor200954170
Country: United States
Volume: 33
Issue: 2
Start Page Number: 461
End Page Number: 474
Publication Date: May 2008
Journal: Mathematics of Operations Research
Authors: , ,
Keywords: inventory
Abstract:

We study the classical capacitated multi–item lot–sizing problem with hard capacities. There are N items, each of which has a specified sequence of demands over a finite planning horizon of T discrete periods; the demands are known in advance but can vary from period to period. All demands must be satisfied on time. Each order incurs a time–dependent fixed ordering cost regardless of the combination of items or the number of units ordered, but the total number of units ordered cannot exceed a given capacity C. On the other hand, carrying inventory from period to period incurs holding costs. The goal is to find a feasible solution with minimum overall ordering and holding costs.

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