Average cost optimality in inventory models with dynamic information delays
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Article number | 5752820 |
Pages (from-to) | 2869-2882 |
Journal / Publication | IEEE Transactions on Automatic Control |
Volume | 56 |
Issue number | 12 |
Publication status | Published - Dec 2011 |
Externally published | Yes |
Link(s)
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.
In: IEEE Transactions on Automatic Control, Vol. 56, No. 12, 5752820, 12.2011, p. 2869-2882.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review