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Joint inventory allocation and pricing decisions for perishable products

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  • Chew, Ek Peng
  • Lee, Chulung
  • Liu, Rujing

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.

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  • Chew, Ek Peng & Lee, Chulung & Liu, Rujing, 2009. "Joint inventory allocation and pricing decisions for perishable products," International Journal of Production Economics, Elsevier, vol. 120(1), pages 139-150, July.
  • Handle: RePEc:eee:proeco:v:120:y:2009:i:1:p:139-150
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    Cited by:

    1. Chew, Ek Peng & Lee, Chulung & Liu, Rujing & Hong, Ki-sung & Zhang, Anming, 2014. "Optimal dynamic pricing and ordering decisions for perishable products," International Journal of Production Economics, Elsevier, vol. 157(C), pages 39-48.
    2. Esmizadeh, Yalda & Bashiri, Mahdi & Jahani, Hamed & Almada-Lobo, Bernardo, 2021. "Cold chain management in hierarchical operational hub networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
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    5. Brahimi, Nadjib & Absi, Nabil & Dauzère-Pérès, Stéphane & Nordli, Atle, 2017. "Single-item dynamic lot-sizing problems: An updated survey," European Journal of Operational Research, Elsevier, vol. 263(3), pages 838-863.
    6. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    7. Nur Ayvaz Çavdaroğlu, 2020. "Joint Pricing and Ordering Problem with Charitable Donations," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    8. Kim, Sang-Won, 2015. "The impact of customer buying behavior on the optimal allocation decisions," International Journal of Production Economics, Elsevier, vol. 163(C), pages 71-88.
    9. Guowei Liu & Jianxiong Zhang & Wansheng Tang, 2015. "Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand," Annals of Operations Research, Springer, vol. 226(1), pages 397-416, March.
    10. Hong, Ki-sung & Lee, Chulung, 2013. "Optimal time-based consolidation policy with price sensitive demand," International Journal of Production Economics, Elsevier, vol. 143(2), pages 275-284.
    11. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    12. Udayan Chanda & Alok Kumar, 2019. "Optimization of EOQ Model for New Products Under Multi-Stage Adoption Process," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-25, April.
    13. Jinxian Quan & Sung-Won Cho, 2021. "Optimal Ordering Policy for Retailers with Bayesian Information Updating in a Presale System," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    14. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.
    15. Onur Kaya & Aylin Lelizar Polat, 2017. "Coordinated pricing and inventory decisions for perishable products," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 589-606, March.
    16. Miju Ahn & Xiaodong Luo & Sergey Shebalov, 2020. "Variable pricing: an integrated airline pricing and revenue management model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 421-435, December.
    17. Arab Momeni, Mojtaba & Bagheri, Mehdi, 2022. "Shared warehouse as an inter-supply chain cooperation strategy to reduce the time-dependent deterioration costs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    18. Xu, Guangming & Zhong, Linhuan & Hu, Xinlei & Liu, Wei, 2022. "Optimal pricing and seat allocation schemes in passenger railway systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    19. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    20. Tunuguntla, Vaishnavi & Basu, Preetam & Rakshit, Krishanu & Ghosh, Debabrata, 2019. "Sponsored search advertising and dynamic pricing for perishable products under inventory-linked customer willingness to pay," European Journal of Operational Research, Elsevier, vol. 276(1), pages 119-132.
    21. Yu, Shunan & Yang, Zhongzhen & Zhang, Wei, 2019. "Differential pricing strategies of air freight transport carriers in the spot market," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 9-15.
    22. Pırıl Tekin & Rızvan Erol, 2017. "A New Dynamic Pricing Model for the Effective Sustainability of Perishable Product Life Cycle," Sustainability, MDPI, vol. 9(8), pages 1-22, July.
    23. Liu, Hengyu & Zhang, Juliang & Zhou, Chen & Ru, Yihong, 2018. "Optimal purchase and inventory retrieval policies for perishable seasonal agricultural products," Omega, Elsevier, vol. 79(C), pages 133-145.
    24. Onur Kaya & Sajjad Rahimi Ghahroodi, 2018. "Inventory control and pricing for perishable products under age and price dependent stochastic demand," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 88(1), pages 1-35, August.
    25. Xiong, Yu & Li, Gendao & Zhou, Yu & Fernandes, Kiran & Harrison, Richard & Xiong, Zhongkai, 2014. "Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 678-688.

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