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A combined forecast-inventory control procedure for spare parts

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Author Info
Heuts, R.
Strijbosch, L.
Schoot, E. van der (Tilburg University, Faculty of Economics and Business Administration)

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Abstract

The interaction between forecast and inventory control has been under-exposed in the literature. This paper introduces a combined forecast-inventory control procedure that is appropriate especially for the lumpy demand character of spare parts. The proposed procedure is succesfully implemented in practice.

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Publisher Info
Paper provided by Tilburg University, Faculty of Economics and Business Administration in its series Research Memorandum with number 772.

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Date of creation: 1999
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Handle: RePEc:dgr:kubrem:1999772

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Strijbosch, L.W.G. & Moors, J.J.A., 1999. "Inventory control : the impact of unknown demand distribution," Research Memorandum 770, Tilburg University, Faculty of Economics and Business Administration. [Downloadable!]
  2. Dunsmuir, W. T. M. & Snyder, R. N., 1989. "Control of inventories with intermittent demand," European Journal of Operational Research, Elsevier, vol. 40(1), pages 16-21, May. [Downloadable!] (restricted)
  3. Tijms, H. C. & Groenevelt, H., 1984. "Simple approximations for the reorder point in periodic and continuous review (s, S) inventory systems with service level constraints," European Journal of Operational Research, Elsevier, vol. 17(2), pages 175-190, August. [Downloadable!] (restricted)
  4. Silver, Edward A. & Rahnama, Mina Rasty, 1987. "Biased selection of the inventory reorder point when demand parameters are statistically estimated," Engineering Costs and Production Economics, Elsevier, vol. 12(1-4), pages 283-292, July. [Downloadable!] (restricted)
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  1. Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2006. "Assessing the effects of using demand parameters estimates in inventory control," Discussion Paper 90, Tilburg University, Center for Economic Research. [Downloadable!]
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