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Erschienen in:
2009 | OriginalPaper | Buchkapitel
A 5/3-Approximation Algorithm for Joint Replenishment with Deadlines
verfasst von : Tim Nonner, Alexander Souza
Erschienen in: Combinatorial Optimization and Applications
Verlag: Springer Berlin Heidelberg
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The objective of the classical Joint Replenishment Problem (JRP) is to minimize ordering costs by combining orders in two stages, first at some retailers, and then at a warehouse. These orders are needed to satisfy demands that appear over time at the retailers. We investigate the natural special case that each demand has a deadline until when it needs to be satisfied. For this case, we present a randomized 5/3 -approximation algorithm, which significantly improves the best known approximation ratio of 1.8 obtained by Levi and Sviridenko (APPROX’06). We moreover prove that JRP with deadlines is APX-hard, which is the first such inapproximability result for a variant of JRP. Finally, we extend the known hardness results by showing that JRP with linear delay cost functions is NP-hard, even if each retailer has to satisfy only three demands.