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Two warehouse dispatching policies for perishable items with freshness efforts, inflationary conditions and partial backlogging

Author

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  • Ranveer Singh Rana

    (National Institute of Technology Jamshedpur)

  • Dinesh Kumar

    (National Institute of Technology Jamshedpur)

  • Kanika Prasad

Abstract

Application of freshness preservation technologies in case of perishable inventory management can play a vital role in mitigating the losses that occur due to deterioration of perishable inventory, typical perishable inventory includes Agri-fresh products like fresh fruits, fresh meat, fresh vegetables, seafood and packed foods. In case of perishable inventory price as well as freshness both decide the demand, so supplying a fresh product at a competitive price creates more customer satisfaction and makes a firm profitable. This paper develops two warehouse dispatching policies, first in, first out (FIFO) and last in, first out (LIFO) for perishable items taking deterioration into account. Demand varies as a function of price and freshness keeping effort. As the price increases and freshness keeping efforts decreases, demand decreases, and vice versa. Stockout is allowed, and during the stockout period as the waiting time increases backlogging rate decreases exponentially. Inflation is considered while calculating different costs. The objective of this paper is to determine the optimum price per unit item and lot size to maximize the profit. The sensitivity of the models is examined through the design of experiment. The present models are applicable for perishable items that start losing their quality immediately after arriving into the system.

Suggested Citation

  • Ranveer Singh Rana & Dinesh Kumar & Kanika Prasad, 2022. "Two warehouse dispatching policies for perishable items with freshness efforts, inflationary conditions and partial backlogging," Operations Management Research, Springer, vol. 15(1), pages 28-45, June.
  • Handle: RePEc:spr:opmare:v:15:y:2022:i:1:d:10.1007_s12063-020-00168-7
    DOI: 10.1007/s12063-020-00168-7
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    References listed on IDEAS

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    1. Chen, Jen-Ming, 1998. "An inventory model for deteriorating items with time-proportional demand and shortages under inflation and time discounting," International Journal of Production Economics, Elsevier, vol. 55(1), pages 21-30, June.
    2. Soumendra Kumar Patra, 2011. "Two-warehouse inventory model for deteriorating items: a study with shortages under inflation and time value of money," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 10(3), pages 316-327.
    3. Liao, Jui-Jung, 2008. "An EOQ model with noninstantaneous receipt and exponentially deteriorating items under two-level trade credit," International Journal of Production Economics, Elsevier, vol. 113(2), pages 852-861, June.
    4. Sumer C. Aggarwal, 1981. "Purchase-Inventory Decision Models for Inflationary Conditions," Interfaces, INFORMS, vol. 11(4), pages 18-23, August.
    5. Yang, Hui-Ling, 2004. "Two-warehouse inventory models for deteriorating items with shortages under inflation," European Journal of Operational Research, Elsevier, vol. 157(2), pages 344-356, September.
    6. Goswami, Adrijit & Chaudhuri, K. S., 1992. "Variations of order-level inventory models for deteriorating items," International Journal of Production Economics, Elsevier, vol. 27(2), pages 111-117, May.
    7. Hou, Kuo-Lung, 2006. "An inventory model for deteriorating items with stock-dependent consumption rate and shortages under inflation and time discounting," European Journal of Operational Research, Elsevier, vol. 168(2), pages 463-474, January.
    8. 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.
    9. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(1), pages 248-260, March.
    10. Sarkar, Biswajit & Saren, Sharmila & Wee, Hui-Ming, 2013. "An inventory model with variable demand, component cost and selling price for deteriorating items," Economic Modelling, Elsevier, vol. 30(C), pages 306-310.
    11. Haijema, Rene, 2014. "Optimal ordering, issuance and disposal policies for inventory management of perishable products," International Journal of Production Economics, Elsevier, vol. 157(C), pages 158-169.
    12. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(2), pages 493-505, April.
    13. Ram B. Misra, 1979. "A note on optimal inventory management under inflation," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 26(1), pages 161-165, March.
    14. Dobson, Gregory & Pinker, Edieal J. & Yildiz, Ozlem, 2017. "An EOQ model for perishable goods with age-dependent demand rate," European Journal of Operational Research, Elsevier, vol. 257(1), pages 84-88.
    15. Moshe Ben-Horim & Haim Levy, 1982. "Inflation and the Trade Credit Period," Management Science, INFORMS, vol. 28(6), pages 646-651, June.
    16. Youyi Feng & Guillermo Gallego, 2000. "Perishable Asset Revenue Management with Markovian Time Dependent Demand Intensities," Management Science, INFORMS, vol. 46(7), pages 941-956, July.
    17. Sarker, Bhaba R. & Pan, Haixu, 1994. "Effects of inflation and the time value of money on order quantity and allowable shortage," International Journal of Production Economics, Elsevier, vol. 34(1), pages 65-72, February.
    18. Chandra K. Jaggi & Priyanka Verma, 2010. "A deterministic order level inventory model for deteriorating items with two storage facilities under FIFO dispatching policy," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 3(3), pages 265-278.
    19. Sarma, K. V. S., 1987. "A deterministic order level inventory model for deteriorating items with two storage facilities," European Journal of Operational Research, Elsevier, vol. 29(1), pages 70-73, April.
    20. Tiwari, Sunil & Cárdenas-Barrón, Leopoldo Eduardo & Khanna, Aditi & Jaggi, Chandra K., 2016. "Impact of trade credit and inflation on retailer's ordering policies for non-instantaneous deteriorating items in a two-warehouse environment," International Journal of Production Economics, Elsevier, vol. 176(C), pages 154-169.
    21. Balkhi, Zaid T., 2011. "Optimal economic ordering policy with deteriorating items under different supplier trade credits for finite horizon case," International Journal of Production Economics, Elsevier, vol. 133(1), pages 216-223, September.
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