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Ordering policies for non-instantaneous deteriorating items under hybrid partial prepayment, partial trade credit and partial backordering

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  • Mohsen Lashgari
  • Ata Allah Taleizadeh
  • Seyed Jafar Sadjadi

Abstract

In this paper, an economic order quantity model is presented for non-instantaneous deteriorating items under a hybrid payment schedule. This payment schedule is composed of a multiple advanced payments scheme and a delayed payment plan. Here, a retailer must prepay a portion of the purchasing cost to his supplier, during the lead time of order delivery, in several instalments. The retailer is allowed to pay the rest after a certain amount of time from receiving the order. The first policy may be adopted by the supplier to finance the procurement of materials or parts used to prepare the order, or to control the risk of order cancellation; and the second policy may be employed as a marketing strategy to stimulate sales. On the other hand, the retailer sells the products to his customers. For the proposed model, inventory shortage is also taken into account, which may occur as either backordered and lost sales, or both. The retailer’s total inventory costs (including the costs of ordering, purchasing, inventory holding, shortage and also the interest costs incurred for advance payment and delayed payment) is minimised, in order to find the order and shortage quantities. Several numerical examples are presented for demonstrating the applicability of the framework. Finally, in order to provide managerial insights, sensitivity analyses are performed for several key parameters.

Suggested Citation

  • Mohsen Lashgari & Ata Allah Taleizadeh & Seyed Jafar Sadjadi, 2018. "Ordering policies for non-instantaneous deteriorating items under hybrid partial prepayment, partial trade credit and partial backordering," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(8), pages 1167-1196, August.
  • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:8:p:1167-1196
    DOI: 10.1080/01605682.2017.1390524
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    Citations

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    Cited by:

    1. Ping Ruan & Yung-Fu Huang & Ming-Wei Weng, 2022. "Impact of COVID-19 on Supply Chains: A Hybrid Trade Credit Policy," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
    2. Khan, Md. Al-Amin & Shaikh, Ali Akbar & Cárdenas-Barrón, Leopoldo Eduardo, 2021. "An inventory model under linked-to-order hybrid partial advance payment, partial credit policy, all-units discount and partial backlogging with capacity constraint," Omega, Elsevier, vol. 103(C).
    3. Chandan Mahato & Gour Chandra Mahata, 2023. "Optimal ordering policy under order-size dependent trade credit and complete backlogging derived algebraically," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 420-444, March.
    4. Yan Shi & Zhiyong Zhang & Sunil Tiwari & Zhiwen Tao, 2022. "Retailer's optimal strategy for a perishable product with increasing demand under various payment schemes," Annals of Operations Research, Springer, vol. 315(2), pages 899-929, August.
    5. Yu-Chung Tsao & Aisyah Dewi Muthi’ah & Thuy-Linh Vu & Niniet Indah Arvitrida, 2021. "Supply chain network design under advance-cash-credit payment," Annals of Operations Research, Springer, vol. 305(1), pages 251-272, October.
    6. Chandan Mahato & Gour Chandra Mahata, 2023. "Sustainable partial backordering inventory model under linked-to-order credit policy and all-units discount with capacity constraint and carbon emissions," Flexible Services and Manufacturing Journal, Springer, vol. 35(3), pages 896-944, September.
    7. Bo Yan & Yanping Liu & Zijie Jin, 2023. "Joint coordination contract for capital‐constrained supply chains under asymmetric information," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 251-270, January.
    8. Ata Allah Taleizadeh & Sara Tavassoli & Arijit Bhattacharya, 2020. "Inventory ordering policies for mixed sale of products under inspection policy, multiple prepayment, partial trade credit, payments linked to order quantity and full backordering," Annals of Operations Research, Springer, vol. 287(1), pages 403-437, April.

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