Skip to main content

Integrated capacity and inventory decisions

  • Conference paper
  • First Online:
Operations Research Proceedings 2011

Part of the book series: Operations Research Proceedings ((ORP))

  • 2748 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bradley, J.R., and Arntzen, B.C.: The simultaneous planning of production, capacity, and inventory in seasonal demand environments. Operations Research. 47, 795–806 (1999)

    Article  Google Scholar 

  2. Clark, A.J., and Scarf, H.: Optimal policies for a multi-echelon inventory problem. Management Science. 6, 475–490 (1960)

    Article  Google Scholar 

  3. De Kok, A.G., and Visschers, J.W.C.H.: Analysis of assembly systems with service level constraints. International Journal of Production Economics. 59, 313–326 (1999)

    Article  Google Scholar 

  4. Dellaert, N.P., and De Kok, A.G.:Integrated resource and production decisions in a simple multi-stage assembly system. International Journal of Production Economics. 90, 281–294 (2004)

    Google Scholar 

  5. Hu, J.Q., and Vakili, P., and Huang, L.:Capacity and production management in a single product manufacturing system. Annals of Operations Research. 125, 191–204 (2004)

    Google Scholar 

  6. Rosling, K.:Optimal inventory policies for assembly systems under random demands. Annals of Operations Research. 37, 565–579 (1989)

    Google Scholar 

  7. Tan, B., and Gershwin, S.B..:Production and subcontracting strategies for manufacturers with limited capacity and volatile demand. Annals of Operations Research. 125, 205–232 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. P. Dellaert .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dellaert, N.P., Flapper, S.D.P., Tan, T., Jeunet, J. (2012). Integrated capacity and inventory decisions. In: Klatte, D., Lüthi, HJ., Schmedders, K. (eds) Operations Research Proceedings 2011. Operations Research Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29210-1_74

Download citation

Publish with us

Policies and ethics