Integrated capacity and inventory decisions
N. P. Dellaert (),
S. D. P. Flapper (),
T. Tan () and
J. Jeunet ()
Additional contact information
N. P. Dellaert: Technische Universiteit Eindhoven
S. D. P. Flapper: Technische Universiteit Eindhoven
T. Tan: Technische Universiteit Eindhoven
J. Jeunet: University Paris-Dauphine
A chapter in Operations Research Proceedings 2011, 2012, pp 463-468 from Springer
Abstract:
Abstract 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.
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-642-29210-1_74
Ordering information: This item can be ordered from
http://www.springer.com/9783642292101
DOI: 10.1007/978-3-642-29210-1_74
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().