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  4. Container fleet management in closed-loop supply chains
 
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2017
Doctoral Thesis
Title

Container fleet management in closed-loop supply chains

Abstract
The objective of this thesis is to develop models and algorithms to plan the purchasing of reusable containers in a closed-loop supply chain where the demand is increasing. We restrict our study to a periodic review process between a single manufacturer and a single supplier. Each item is transported either in a reusable container or in a single-use disposable. Furthermore, a setup cost is paid every time new containers are purchased. Consequently, our model is similar to a lot-sizing problem with return of every item after a fixed duration. We study both cases of a deterministic demand as well as a stochastic demand. In the deterministic setting, we use dynamic programming and minimum linear-cost flows to generate polynomial time algorithms. When the demand is stochastic, we use the Markov decision process framework to develop pseudo-polynomial time heuristics for four different strategies. We show the L-natural-convexity of the cost functions for three strategies to speed up the computations. The thesis concludes with an application on a real-life supply chain.
Thesis Note
Zugl.: Kaiserslautern, Univ., Diss., 2016
Author(s)
Jami, Neil  
Publisher
Fraunhofer Verlag  
Publishing Place
Stuttgart
File(s)
Download (2.48 MB)
Download (68.03 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-281670
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • discrete mathematic

  • combinatorics & graph theory

  • transport planning & policy

  • Optimierung

  • diskrete Mathematik

  • Kombinatorik

  • Graphentheorie

  • Transportplanung

  • Politik

  • Mathematiker

  • Wirtschaftswissenschaftler

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