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Joint Optimal Pricing and Ordering Decisions for Seasonal Products with Weather-Sensitive Demand

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  • Hongyong Fu
  • Bin Dan
  • Xiangkai Sun

Abstract

Retailers selling seasonal products often face the challenge in matching their inventory levels with uncertain market demand which is sensitive to weather conditions, such as the average seasonal temperature. Therefore, how to make the joint ordering and pricing decisions may help retailers to increase their profits. In this paper, we address the joint determination of pricing and ordering decisions in a newsvendor setting, where a retailer (newsvendor) sells the seasonal products and faces demand risk due to weather uncertainty. We show that the maximum expected profit function is continuous and concave, so the optimal solution to the retail price and order quantity exists and it is the one and only solution. In addition, we numerically investigate the impacts of related parameters on the retailer’s expected profit and the optimal pricing and ordering decisions and illustrate some useful management insights into the economic behavior of firms.

Suggested Citation

  • Hongyong Fu & Bin Dan & Xiangkai Sun, 2014. "Joint Optimal Pricing and Ordering Decisions for Seasonal Products with Weather-Sensitive Demand," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-8, March.
    • Handle: RePEc:hin:jnddns:105098
    DOI: 10.1155/2014/105098
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    References listed on IDEAS

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    1. Yuxin Chen & Sridhar Moorthy & Z. John Zhang, 2005. "Research Note---Price Discrimination After the Purchase: Rebates as State-Dependent Discounts," Management Science, INFORMS, vol. 51(7), pages 1131-1140, July.
    2. Wei, Yihua & Hu, Qiying & Xu, Chen, 2013. "Ordering, pricing and allocation in a service supply chain," International Journal of Production Economics, Elsevier, vol. 144(2), pages 590-598.
    3. Jan A. Van Mieghem, 2007. "Risk Mitigation in Newsvendor Networks: Resource Diversification, Flexibility, Sharing, and Hedging," Management Science, INFORMS, vol. 53(8), pages 1269-1288, August.
    4. Caliskan Demirag, Ozgun, 2013. "Performance of weather-conditional rebates under different risk preferences," Omega, Elsevier, vol. 41(6), pages 1053-1067.
    5. Chen, Jing & Bell, Peter C., 2009. "The impact of customer returns on pricing and order decisions," European Journal of Operational Research, Elsevier, vol. 195(1), pages 280-295, May.
    6. Gerstner, Eitan & Hess, James D, 1991. "A Theory of Channel Price Promotions," American Economic Review, American Economic Association, vol. 81(4), pages 872-886, September.
    7. Fei Gao & Ozgun Caliskan Demirag & Frank Y. Chen, 2012. "Early Sales of Seasonal Products with Weather‐Conditional Rebates," Production and Operations Management, Production and Operations Management Society, vol. 21(4), pages 778-794, July.
    8. Regnier, Eva, 2008. "Doing something about the weather," Omega, Elsevier, vol. 36(1), pages 22-32, February.
    9. Ananth. V. Iyer & Mark E. Bergen, 1997. "Quick Response in Manufacturer-Retailer Channels," Management Science, INFORMS, vol. 43(4), pages 559-570, April.
    10. Awi Federgruen & Aliza Heching, 1999. "Combined Pricing and Inventory Control Under Uncertainty," Operations Research, INFORMS, vol. 47(3), pages 454-475, June.
    11. Guillermo Gallego & Özge Şahin, 2010. "Revenue Management with Partially Refundable Fares," Operations Research, INFORMS, vol. 58(4-part-1), pages 817-833, August.
    12. Diana Michalek Pfeil & Hamsa Balakrishnan, 2012. "Identification of Robust Terminal-Area Routes in Convective Weather," Transportation Science, INFORMS, vol. 46(1), pages 56-73, February.
    13. Frank Youhua Chen & Candace Arai Yano, 2010. "Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty," Management Science, INFORMS, vol. 56(8), pages 1380-1397, August.
    14. C.J. Ziser & Z.Y. Dong & K.P. Wong, 2012. "Incorporating weather uncertainty in demand forecasts for electricity market planning," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(7), pages 1336-1346.
    15. Hau L. Lee & Christopher S. Tang, 1997. "Modelling the Costs and Benefits of Delayed Product Differentiation," Management Science, INFORMS, vol. 43(1), pages 40-53, January.
    16. Jia, Junxiu & Zhang, Jiang, 2013. "Dynamic ordering and pricing strategies in a two-tier multi-generation durable goods supply chain," International Journal of Production Economics, Elsevier, vol. 144(1), pages 135-142.
    17. Muhammad Sabir & Jos Ommeren & Mark Koetse & Piet Rietveld, 2011. "Adverse Weather and Commuting Speed," Networks and Spatial Economics, Springer, vol. 11(4), pages 701-712, December.
    18. Zhaolin Hu & Jing Cao & L. Jeff Hong, 2012. "Robust Simulation of Global Warming Policies Using the DICE Model," Management Science, INFORMS, vol. 58(12), pages 2190-2206, December.
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