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Joint pricing and inventory control for fresh produce and foods with quality and physical quantity deteriorating simultaneously

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  • Qin, Yiyan
  • Wang, Jianjun
  • Wei, Caimin

Abstract

A great number of models have been proposed to investigate the deterioration inventory. However, most of models assume that a fixed physical quantity of items deteriorates over time, the quality of items does not decay before their expiration dates. In practice, the quality and physical quantity of many products, including fresh produce and foods, often deteriorate over time. The quality of an item usually plays an important role in influencing the demand for products. In this paper, we consider the pricing and lot-sizing problem for products with quality and physical quantity deteriorating simultaneously. The deterioration rate of quality and physical quantity is taken to be time proportional. The demand rate is assumed to be deterministic and dependent on the quality of an item, the selling price per unit and the on-display stock level. The theory for finding the optimal solution of problem is discussed and numerical examples are used to illustrate the model and the solution procedure. Finally, sensitivity analysis of the optimal solution with respect to price sensitive parameter and values of different deterioration functions is carried out.

Suggested Citation

  • Qin, Yiyan & Wang, Jianjun & Wei, Caimin, 2014. "Joint pricing and inventory control for fresh produce and foods with quality and physical quantity deteriorating simultaneously," International Journal of Production Economics, Elsevier, vol. 152(C), pages 42-48.
    • Handle: RePEc:eee:proeco:v:152:y:2014:i:c:p:42-48
    DOI: 10.1016/j.ijpe.2014.01.005
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    References listed on IDEAS

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    1. Ray, J. & Chaudhuri, K. S., 1997. "An EOQ model with stock-dependent demand, shortage, inflation and time discounting," International Journal of Production Economics, Elsevier, vol. 53(2), pages 171-180, November.
    2. Chang, Horng-Jinh & Teng, Jinn-Tsair & Ouyang, Liang-Yuh & Dye, Chung-Yuan, 2006. "Retailer's optimal pricing and lot-sizing policies for deteriorating items with partial backlogging," European Journal of Operational Research, Elsevier, vol. 168(1), pages 51-64, January.
    3. Maihami, Reza & Nakhai Kamalabadi, Isa, 2012. "Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand," International Journal of Production Economics, Elsevier, vol. 136(1), pages 116-122.
    4. 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.
    5. Abad, P. L., 2003. "Optimal pricing and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale," European Journal of Operational Research, Elsevier, vol. 144(3), pages 677-685, February.
    6. Shah, Nita H & Soni, Hardik N & Patel, Kamlesh A, 2013. "Optimizing inventory and marketing policy for non-instantaneous deteriorating items with generalized type deterioration and holding cost rates," Omega, Elsevier, vol. 41(2), pages 421-430.
    7. Wu, Kun-Shan & Ouyang, Liang-Yuh & Yang, Chih-Te, 2006. "An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging," International Journal of Production Economics, Elsevier, vol. 101(2), pages 369-384, June.
    8. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    9. Kantor, Linda Scott & Lipton, Kathryn & Manchester, Alden & Oliveira, Victor, 1997. "Estimating and Addressing America's Food Losses," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 20(1), pages 1-11.
    10. Ruibin Bai & Graham Kendall, 2008. "A Model for Fresh Produce Shelf-Space Allocation and Inventory Management with Freshness-Condition-Dependent Demand," INFORMS Journal on Computing, INFORMS, vol. 20(1), pages 78-85, February.
    11. Goyal, S.K., 1987. "Economic ordering policy for deteriorating items over an infinite time horizon," European Journal of Operational Research, Elsevier, vol. 28(3), pages 298-301, March.
    12. Urban, Timothy L. & Baker, R. C., 1997. "Optimal ordering and pricing policies in a single-period environment with multivariate demand and markdowns," European Journal of Operational Research, Elsevier, vol. 103(3), pages 573-583, December.
    13. Dye, Chung-Yuan, 2007. "Joint pricing and ordering policy for a deteriorating inventory with partial backlogging," Omega, Elsevier, vol. 35(2), pages 184-189, April.
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