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Integrated capacity and inventory decisions

Dellaert, Nico; Flapper, S. D. P.; Jeunet, Jully; Tan, Tarkan (2012), Integrated capacity and inventory decisions, in Diethard Klatte, Hans-Jakob Lüthi, Karl Schmedders, Operations Research Proceedings 2011. Selected Papers of the International Conference on Operations Research (OR 2011), August 30 - September 2, 2011, Zurich, Switzerland, Springer : Berlin Heidelberg, p. 463-468. 10.1007/978-3-642-29210-1_74

Type
Communication / Conférence
Date
2012
Conference title
International Conference on Operations Research (OR 2011)
Conference date
2011-09
Conference city
Zurich
Conference country
Switzerland
Book title
Operations Research Proceedings 2011. Selected Papers of the International Conference on Operations Research (OR 2011), August 30 - September 2, 2011, Zurich, Switzerland
Book author
Diethard Klatte, Hans-Jakob Lüthi, Karl Schmedders
Publisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-642-29209-5
Pages
463-468
Publication identifier
10.1007/978-3-642-29210-1_74
Metadata
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Author(s)
Dellaert, Nico
Technische Universiteit Eindhoven
Flapper, S. D. P.
Technische Universiteit Eindhoven
Jeunet, Jully
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Tan, Tarkan
Abstract (EN)
This paper deals with the simultaneous acquisition of capacity and material in a situation with uncertain demand, with non-zero lead-times for the supply of both material and capacity. Although there is a lot of literature on the time-phased acquisition of capacity and material, most of this literature focuses on one of the two decisions. By using a dynamic programming formulation, we describe the optimal balance between using safety stocks and contingent workforce for various lead-time situations. We compare the cost ingredients of the optimal strategy with the standard inventory approach that neglects capacity restrictions in the decision. The experimental study shows that co-ordination of both decisions in the optimal strategy leads to cost reductions of around 10%.We also derive characteristics of the optimal strategy that we expect to provide a thorough basis for operational decision making.
Subjects / Keywords
optimal strategy; inventories

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