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Should retailers hold a perishable product having different ages? The case of a homogeneous market and multiplicative demand model

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  • Herbon, Avi

Abstract

This paper specializes in investigating the common practice of the coexistence of multiple competing perishables, each with different age and price, all of which are associated with the same product. The fundamental postulate investigated by our model is the replacement of the policy of selling a single product-age with a policy of selling multiple product-ages. Coexistence of multiple product-ages on the shelf is associated with shorter cycle lengths as well as with providing consumers with the option of choosing between a fresher product on average and a cheaper product on average. We use a utility corresponding to the factors of price and time. We axiomatically assume the coexistence of multiple product-ages while posing several propositions which present certain difficulties in preferring this policy. With the support of a multiplicative demand with respect to price and time, and by assuming that consumers are homogeneous in their preferences, we analyze a deterministic version of the problem and derive the optimal pricing policy given any cycle length and any duration for which both types coexist on the shelf. We prove that the optimal policy is not to sell multiple product-types at all. By means of a numerical example we show that the operational mode of the coexistence of multiple product-ages reduces the retailer's profit per unit time by at least 15%. Sensitivity analysis of some of the most influential parameters is introduced. The superiority of the single product-age operational mode over the competitor mode sharply decreases as the optimal cycle length is approached.

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  • Herbon, Avi, 2017. "Should retailers hold a perishable product having different ages? The case of a homogeneous market and multiplicative demand model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 479-490.
    • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:479-490
    DOI: 10.1016/j.ijpe.2017.08.008
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    References listed on IDEAS

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    1. William P. Pierskalla & Chris D. Roach, 1972. "Optimal Issuing Policies for Perishable Inventory," Management Science, INFORMS, vol. 18(11), pages 603-614, July.
    2. Borga Deniz & Itir Karaesmen & Alan Scheller-Wolf, 2010. "Managing Perishables with Substitution: Inventory Issuance and Replenishment Heuristics," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 319-329, July.
    3. Avinadav, Tal & Herbon, Avi & Spiegel, Uriel, 2014. "Optimal ordering and pricing policy for demand functions that are separable into price and inventory age," International Journal of Production Economics, Elsevier, vol. 155(C), pages 406-417.
    4. P-S You, 2005. "Inventory policy for products with price and time-dependent demands," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 870-873, July.
    5. René Haijema & Jan Wal & Nico M. Dijk, 2005. "Blood Platelet Production: a multi-type perishable inventory problem," Operations Research Proceedings, in: Hein Fleuren & Dick Hertog & Peter Kort (ed.), Operations Research Proceedings 2004, pages 84-92, Springer.
    6. Prashant Chintapalli, 2015. "Simultaneous pricing and inventory management of deteriorating perishable products," Annals of Operations Research, Springer, vol. 229(1), pages 287-301, June.
    7. Chon-Huat Goh & Betsy S. Greenberg & Hirofumi Matsuo, 1993. "Two-Stage Perishable Inventory Models," Management Science, INFORMS, vol. 39(5), pages 633-649, May.
    8. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    9. Avinadav, Tal & Herbon, Avi & Spiegel, Uriel, 2013. "Optimal inventory policy for a perishable item with demand function sensitive to price and time," International Journal of Production Economics, Elsevier, vol. 144(2), pages 497-506.
    10. You, Peng-Sheng, 2006. "Ordering and pricing of service products in an advance sales system with price-dependent demand," European Journal of Operational Research, Elsevier, vol. 170(1), pages 57-71, April.
    11. Avi Herbon & Konstantin Kogan, 2014. "Time-dependent and independent control rules for coordinated production and pricing under demand uncertainty and finite planning horizons," Annals of Operations Research, Springer, vol. 223(1), pages 195-216, December.
    12. Xin Chen & Zhan Pang & Limeng Pan, 2014. "Coordinating Inventory Control and Pricing Strategies for Perishable Products," Operations Research, INFORMS, vol. 62(2), pages 284-300, April.
    13. Yi Yang & Youhua (Frank) Chen & Yun Zhou, 2014. "Coordinating Inventory Control and Pricing Strategies Under Batch Ordering," Operations Research, INFORMS, vol. 62(1), pages 25-37, February.
    14. Lazear, Edward P, 1986. "Retail Pricing and Clearance Sales," American Economic Review, American Economic Association, vol. 76(1), pages 14-32, March.
    15. Mark Ferguson & Michael E. Ketzenberg, 2006. "Information Sharing to Improve Retail Product Freshness of Perishables," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 57-73, March.
    16. Ishii, Hiroaki & Nose, Toyokazu, 1996. "Perishable inventory control with two types of customers and different selling prices under the warehouse capacity constraint," International Journal of Production Economics, Elsevier, vol. 44(1-2), pages 167-176, June.
    17. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    18. Yanzhi Li & Andrew Lim & Brian Rodrigues, 2009. "Note--Pricing and Inventory Control for a Perishable Product," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 538-542, February.
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