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Newsvendor pricing and assortment under Poisson decomposition

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  • Bacel Maddah
  • Ebru K. Bish
  • Hussein Tarhini

Abstract

This article studies the structure of and the interdependence among the critical decisions on pricing, inventory, and assortment of a retailer’s product line. It considers substitutable retail products that are horizontally differentiated variants under a logit consumer choice model, within a newsvendor-type supply setting and homogeneous pricing. The focus of this article is on analyzing joint pricing and inventory decisions for a given assortment, within a natural Poisson decomposition setting, under a “multiplicative–additive” demand model, where both variance and coefficient of variation of the demand depend on the price. For this problem, a Taylor series-based approximation is developed for the inventory cost and its accuracy is subsequently demonstrated. It is then shown that, under this approximation, the expected profit is unimodal in the price, and sufficient conditions are provided for the “risky” price, at optimal inventory, to be above (or below) the “riskless” price, pertaining to a make-to-order system. It is also shown that inventory considerations alter the behavior of the risky price in demand and cost parameters. Furthermore, joint assortment and inventory decisions under exogenous pricing are considered, and the unimodularity of the expected profit in the assortment size is proven. Also, a comparative statics analysis is performed and insights are presented.

Suggested Citation

  • Bacel Maddah & Ebru K. Bish & Hussein Tarhini, 2014. "Newsvendor pricing and assortment under Poisson decomposition," IISE Transactions, Taylor & Francis Journals, vol. 46(6), pages 567-584, June.
  • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:6:p:567-584
    DOI: 10.1080/0740817X.2013.860509
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    Citations

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    Cited by:

    1. Tamer Boyaci & Yalçin Akçay, 2016. "Pricing when customers have limited attention," ESMT Research Working Papers ESMT-16-01, ESMT European School of Management and Technology, revised 19 Jan 2017.
    2. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    3. Bacel Maddah & Fouad Ben Abdelaziz & Hussein Tarhini, 2021. "Bi-objective optimization of retailer’s profit and customer surplus in assortment and pricing planning," Annals of Operations Research, Springer, vol. 296(1), pages 195-210, January.
    4. Wensi Zhang & Jinlin Li & Ran Zhang & Yahong Chen, 2017. "Impact of Emergency Order in Price-Dependent Newsvendor Problems," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-20, April.
    5. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    6. Ghoniem, Ahmed & Maddah, Bacel, 2015. "Integrated retail decisions with multiple selling periods and customer segments: Optimization and insights," Omega, Elsevier, vol. 55(C), pages 38-52.
    7. Flamand, Tulay & Ghoniem, Ahmed & Haouari, Mohamed & Maddah, Bacel, 2018. "Integrated assortment planning and store-wide shelf space allocation: An optimization-based approach," Omega, Elsevier, vol. 81(C), pages 134-149.
    8. Abdelaziz, Fouad Ben & Maddah, Bacel & Flamand, Tülay & Azar, Jimmy, 2024. "Store-Wide space planning balancing impulse and convenience," European Journal of Operational Research, Elsevier, vol. 312(1), pages 211-226.
    9. Khouja, Moutaz, 2016. "Late season low inventory assortment effects in the newsvendor problem," Omega, Elsevier, vol. 63(C), pages 123-133.

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