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An EOQ inventory model with partial backordering and reparation of imperfect products

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  • Taleizadeh, Ata Allah
  • Khanbaglo, Mahboobeh Perak Sari
  • Cárdenas-Barrón, Leopoldo Eduardo

Abstract

In many situations of real life, the products are manufactured from a supplier that is located very far from buyer. Moreover, the lot contains some products which have imperfect quality and the defective products cannot be replaced with perfect ones immediately. In order to identify imperfect products, the buyer conducts a screening process. The imperfect products are fully valuable and repairable therefore they are withdrawn as a single lot from inventory and sent to a local repair shop. After reparation process, the repaired products are returned to the buyer store. Considering the time when the lot of repaired products arrives to the buyer store, four cases are identified and studied. The optimal solution to each case is derived. The applicability of the proposed inventory model is illustrated with a numerical example.

Suggested Citation

  • Taleizadeh, Ata Allah & Khanbaglo, Mahboobeh Perak Sari & Cárdenas-Barrón, Leopoldo Eduardo, 2016. "An EOQ inventory model with partial backordering and reparation of imperfect products," International Journal of Production Economics, Elsevier, vol. 182(C), pages 418-434.
    • Handle: RePEc:eee:proeco:v:182:y:2016:i:c:p:418-434
    DOI: 10.1016/j.ijpe.2016.09.013
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    3. Subrata Panja & Shyamal Kumar Mondal, 2023. "Sustainable production inventory management through bi-level greening performance in a three-echelon supply chain," Operational Research, Springer, vol. 23(1), pages 1-55, March.
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    5. Harun Öztürk, 2019. "Modeling an inventory problem with random supply, inspection and machine breakdown," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 497-527, June.
    6. Ata Allah Taleizadeh & Ebrahim Salehi Darabi & Park Thaichon, 2024. "Optimizing online selling through an online-to-offline platform: strategic ramifications for local n stores," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(6), pages 554-574, December.
    7. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    8. Ni, Ni & Howell, Brendan J. & Sharkey, Thomas C., 2018. "Modeling the impact of unmet demand in supply chain resiliency planning," Omega, Elsevier, vol. 81(C), pages 1-16.
    9. Waqas Ahmed & Muhammad Jalees & Muhammad Omair & Zainab Mukhtar & Muhammad Imran, 2022. "An inventory management for global supply chain through reworking of defective items having positive inventory level under multi-trade-credit-period," Annals of Operations Research, Springer, vol. 315(1), pages 1-28, August.
    10. Konstantaras, I. & Skouri, K. & Lagodimos, A.G., 2019. "EOQ with independent endogenous supply disruptions," Omega, Elsevier, vol. 83(C), pages 96-106.
    11. Jialiang Pan & Chi-Jie Lu & Wei-Jen Chen & Kun-Shan Wu & Chih-Te Yang, 2024. "A Study on the Production-Inventory Problem with Omni-Channel and Advance Sales Based on the Brand Owner’s Perspective," Mathematics, MDPI, vol. 12(19), pages 1-23, October.
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