Approximation Algorithms for Replenishment Problems with Fixed Turnover Times

  • Thomas Bosman
  • Martijn van Ee
  • Yang Jiao
  • Alberto Marchetti-Spaccamela
  • R. Ravi
  • Leen Stougie
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10807)


We introduce and study a class of optimization problems we coin replenishment problems with fixed turnover times: a very natural model that has received little attention in the literature. Nodes with capacity for storing a certain commodity are located at various places; at each node the commodity depletes within a certain time, the turnover time, which is constant but can vary between locations. Nodes should never run empty, and to prevent this we may schedule nodes for replenishment every day. The natural feature that makes this problem interesting is that we may schedule a replenishment (well) before a node becomes empty, but then the next replenishment will be due earlier also. This added workload needs to be balanced against the cost of routing vehicles to do the replenishments. In this paper, we focus on the aspect of minimizing routing costs. However, the framework of recurring tasks, in which the next job of a task must be done within a fixed amount of time after the previous one is much more general and gives an adequate model for many practical situations.

Note that our problem has an infinite time horizon. However, it can be fully characterized by a compact input, containing only the location of each store and a turnover time. This makes determining its computational complexity highly challenging and indeed it remains essentially unresolved. We study the problem for two objectives: min-avg minimizes the average tour length and min-max minimizes the maximum tour length over all days. For min-max we derive a logarithmic factor approximation for the problem on general metrics and a 6-approximation for the problem on trees, for which we have a proof of NP-hardness. For min-avg we present a logarithmic approximation on general metrics, 2-approximation for trees, and a pseudopolynomial time algorithm for the line. Many intriguing problems remain open.



The research of YJ and RR is supported in part by the U. S. National Science Foundation under award numbers CCF-1527032 and CCF-1655442. The research of MvE was done while he was employed by Vrije Universiteit Amsterdam.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Vrije UniversiteitAmsterdamThe Netherlands
  2. 2.Tepper School of BusinessCarnegie Mellon UniversityPittsburghUSA
  3. 3.Sapienza University of RomeRomeItaly
  4. 4.Centrum voor Wiskunde en Informatica (CWI)AmsterdamThe Netherlands
  5. 5.Erable, InriaParisFrance
  6. 6.Netherlands Defence AcademyDen HelderThe Netherlands

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