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Online and Offline Container Purchasing and Repositioning Problem

  • Neil JamiEmail author
  • Michael Schröder
  • Karl-Heinz Küfer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9855)

Abstract

We study the management of containers in a logistic chain between a supplier and a manufacturer in a ramp-up scenario where the demand is stochastic and expected to increase. This paper extends our previous study with deterministic demand. We consider a periodic review system with T periods of R time steps. The supplier sends full containers at every step and receives empty containers every period. We consider positive lead times. To face demand increase, the manufacturer can purchase reusable containers at a setup cost while the supplier can buy single-use disposables. Using a dynamic programming framework, we develop an online exact algorithm and an offline heuristic.

Keywords

Optimal Policy Markov Decision Process Setup Cost Empty Container Fleet Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Neil Jami
    • 1
    Email author
  • Michael Schröder
    • 1
  • Karl-Heinz Küfer
    • 1
  1. 1.Fraunhofer Institute for Industrial Mathematics (ITWM)KaiserslauternGermany

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