Joint inventory allocation and pricing decisions for perishable products

Ek Peng Chew, Chul Ung Lee, Rujing Liu

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

We jointly determine the price and the inventory allocation for a perishable product with a predetermined lifetime. We assume that the price of the product increases as the time when it perishes approaches as in the airline industry. Demand for the product is price sensitive. To maximize the expected revenue, we developed a discrete time dynamic programming model to obtain the optimal prices and the optimal inventory allocations for the product with a two period lifetime. We, then, proposed three heuristics when the lifetime is longer than two periods. The computational results showed that the expected revenues from the proposed heuristics were very close to that of the optimal solution. We extended these results to (i) the case where the price for the product consistently decreases; and (ii) the case where the price for the product first increases and later decreases.

Original languageEnglish
Pages (from-to)139-150
Number of pages12
JournalInternational Journal of Production Economics
Volume120
Issue number1
DOIs
Publication statusPublished - 2009 Jul 1

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Dynamic programming
Costs
Industry
Perishable products
Pricing decisions
Heuristics
Revenue

Keywords

  • Inventory allocation
  • Periodic review
  • Perishable products
  • Pricing
  • Revenue management

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Business, Management and Accounting(all)
  • Management Science and Operations Research
  • Economics and Econometrics

Cite this

Joint inventory allocation and pricing decisions for perishable products. / Chew, Ek Peng; Lee, Chul Ung; Liu, Rujing.

In: International Journal of Production Economics, Vol. 120, No. 1, 01.07.2009, p. 139-150.

Research output: Contribution to journalArticle

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