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An inventory model for deteriorating items with expiry date and time varying holding cost

Author

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  • Seema Sharma
  • Sanjay Singh
  • S.R. Singh

Abstract

In this paper, an economic order quantity model for items which deteriorate and expire with time has been developed. The holding cost has been assumed to be a linear function of time, whereas demand has been considered as a function of expiry date and selling price. Shortages are allowed and partially backlogged. The model so developed has been discussed for two cases of partial backlogging: 1) backlogging rate is taken to be constant; 2) backlogging rate depends upon waiting time. A numerical example given here illustrates each case. Finally, sensitivity analysis is carried out to analyse the behaviour of the model.

Suggested Citation

  • Seema Sharma & Sanjay Singh & S.R. Singh, 2018. "An inventory model for deteriorating items with expiry date and time varying holding cost," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 11(5), pages 650-666.
  • Handle: RePEc:ids:ijpman:v:11:y:2018:i:5:p:650-666
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    Citations

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    Cited by:

    1. Ali Khaleel Dhaiban, 2022. "Two models of inventory system with stochastic demand and deteriorating items: case study of a local cheese factory," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 78-101, March.
    2. Han-Wen Tuan & Kuo-Chen Hung & Gino K. Yang, 2021. "Inventory Model with Fixed Shelf Life under Generalized Non-Increasing Demand," Mathematics, MDPI, vol. 9(21), pages 1-15, October.
    3. Nabajyoti Bhattacharjee & Nabendu Sen & Sanjukta Malakar, 2022. "A sustainable retailer’s inventory model to study the partial replacement for deteriorating items with variable shelf-life," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1502-1521, December.
    4. Chandan Mahato & Gour Chandra Mahata, 2021. "Optimal inventory policies for deteriorating items with expiration date and dynamic demand under two-level trade credit," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 994-1017, December.

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