Average cost optimality in inventory models with dynamic information delays

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

5 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number5752820
Pages (from-to)2869-2882
Journal / PublicationIEEE Transactions on Automatic Control
Volume56
Issue number12
Publication statusPublished - Dec 2011
Externally publishedYes

Abstract

Information delays exist when the most recent inventory information available to the Inventory Manager (IM) is dated. In other words, the IM observes only the inventory level that belongs to an earlier period. Such situations are not uncommon, and they arise when it takes a while to process the demand data and pass the results to the IM. In this paper, we establish that the average cost optimal policy is of state-dependent basestock type with respect to the reference inventory position. We show that the optimal base stock depends on the age and the magnitude of the latest observed delay. We illustrate the results by solving an example with delays of 0 and 1, for which we are able to obtain formulas/bounds for the basestock levels. © 2006 IEEE.

Research Area(s)

  • Average cost optimality, Base stock policies, Dynamic information delays, Partial observations, Stochastic inventory

Citation Format(s)

Average cost optimality in inventory models with dynamic information delays. / Bensoussan, Alain; Cakanyildirim, Metin; Sethi, Suresh P. et al.
In: IEEE Transactions on Automatic Control, Vol. 56, No. 12, 5752820, 12.2011, p. 2869-2882.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review