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Economic production quantity (EPQ) model with partial backordering and a discount for imperfect quality batches

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  • Luiza Ribeiro Alves Cunha
  • Ana Paula Santos Delfino
  • Kamila Almeida dos Reis
  • Adriana Leiras

Abstract

Economic production quantity (EPQ) models are traditionally used in operations management. Despite the large number of papers that describe the models, the classic EPQ model does not consider either imperfect quality batches or shortages. However, some industries may be able to sell imperfect items for a lower price, reducing the total production cost. This paper proposes an EPQ model with partial backordering and discount for imperfect quality batches and an algorithm that returns optimal values for the problem. From a numerical example, it is possible to analyse how the changes in the variables affect each part of the total cost function, which provides a useful tool for strategic decision-making. We conclude that it is better to sell imperfect items as soon as possible because the savings in holding costs results in a total cost reduction. It is more profitable for the producer to have planned shortages considering that some costumers are willing to wait. Furthermore, the reduction of the goodwill cost does not necessarily reduce the total cost.

Suggested Citation

  • Luiza Ribeiro Alves Cunha & Ana Paula Santos Delfino & Kamila Almeida dos Reis & Adriana Leiras, 2018. "Economic production quantity (EPQ) model with partial backordering and a discount for imperfect quality batches," International Journal of Production Research, Taylor & Francis Journals, vol. 56(18), pages 6279-6293, September.
  • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:18:p:6279-6293
    DOI: 10.1080/00207543.2018.1445878
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    Cited by:

    1. Karakatsoulis, G. & Skouri, K., 2023. "A periodic review inventory model facing different disruption profiles," International Journal of Production Economics, Elsevier, vol. 265(C).
    2. K.Y. Kung & Y.D. Huang & H.M. Wee & Y. Daryanto, 2019. "Production-Inventory System for Deteriorating Items with Machine Breakdown, Inspection, and Partial Backordering," Mathematics, MDPI, vol. 7(7), pages 1-26, July.
    3. Lucas Dias Condeixa & Pierry Silva & Diego Moah & Brenda Farias & Adriana Leiras, 2022. "Evaluating cost impacts on reverse logistics using an Economic Order Quantity (EOQ) model with environmental and social considerations," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 921-940, September.
    4. Malolan Sundararaman & Mathirajan Muthu, 2020. "Component remanufacturing: a new prospective profitable business approach for the Indian automobile sector," OPSEARCH, Springer;Operational Research Society of India, vol. 57(4), pages 1244-1280, December.
    5. Amir Hossein Nobil & Amir Hosein Afshar Sedigh & Behrouz Afshar-Nadjafi, 2020. "Lot-sizing problem for a defective processing system with categorized items, backordering and pricing policy," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(4), pages 255-265, August.

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