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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 The imperfect products are fully valuable and repairable therefore they are withdrawn as a single lot from inventory and sent to a local repair shop.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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    References listed on IDEAS

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    Cited by:

    1. Taleizadeh, Ata Allah & Tafakkori, Keivan & Thaichon, Park, 2021. "Resilience toward supply disruptions: A stochastic inventory control model with partial backordering under the base stock policy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    2. 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.
    3. 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.
    4. 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.
    5. Konstantaras, I. & Skouri, K. & Lagodimos, A.G., 2019. "EOQ with independent endogenous supply disruptions," Omega, Elsevier, vol. 83(C), pages 96-106.
    6. Naoufel Cheikhrouhou & Biswajit Sarkar & Baishakhi Ganguly & Asif Iqbal Malik & Rafael Batista & Young Hae Lee, 2018. "Optimization of sample size and order size in an inventory model with quality inspection and return of defective items," Annals of Operations Research, Springer, vol. 271(2), pages 445-467, December.
    7. Jianghua Zhang & Felix T. S. Chan & Xinsheng Xu, 0. "The optimal order decisions of a risk-averse newsvendor under backlogging," Annals of Operations Research, Springer, vol. 0, pages 1-23.

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