On computing optimal policies in perishable inventory control using value iteration

E.M.T. Hendrix*, G. Ortega, R. Haijema, M.E. Buisman, I. García

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

As a large part of world food production spoils/expires before consumption, reduction of food waste by optimizing order policies in retail is of importance. We sketch here the computational burden of trying to obtain the optimal order quantities with the process of value iteration for a retailer situation with highly perishable products. It appears that waste can be reduced if retailers follow the optimal policy compared to an easier order‐up‐to‐level policy. When there is willingness to substitute a product for another if the desired product is out of stock, the complexity increases drastically. Basically, one has to take the stock of both products into account. The necessary probabilistic analysis and computational aspects are described in this paper.
Original languageEnglish
Article numbere1027
JournalComputational and Mathematical Methods
Volume1
Issue number4
DOIs
Publication statusPublished - Jul 2019

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Inventory control
Optimal policy
Retailers
Order quantity
Willingness
Substitute
Food
Burden
Food production
Perishable products
Retail

Cite this

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On computing optimal policies in perishable inventory control using value iteration. / Hendrix, E.M.T.; Ortega, G.; Haijema, R.; Buisman, M.E.; García, I.

In: Computational and Mathematical Methods, Vol. 1, No. 4, e1027, 07.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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