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A closed-loop supply chain model with learning effect, random return and imperfect inspection under price- and quality-dependent demand

Author

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  • M. Masanta

    (Jadavpur University)

  • B. C. Giri

    (Jadavpur University)

Abstract

This paper addresses a closed-loop supply chain consisting of a manufacturer and a retailer. While producing a single item, the manufacturer executes a perfect production process influenced by learning effect. Production process is supported by raw materials as well as used materials. Collected used items follow an inspection process which is subject to learning and incurs Type I and Type II errors. Return of used items is random. The demand of the end-product is in a linear relationship with retail price and product quality. The proposed model is developed and optimal results are analysed with a numerical example. Sensitivity analysis is carried out to investigate the effects of various parameters on optimal decisions. It is observed from the numerical study that higher learning in production and inspection results in achieving a higher system profit, and the price sensitivity factor in demand has a significant impact on the retail price. Some important managerial insights of the proposed model are also discussed.

Suggested Citation

  • M. Masanta & B. C. Giri, 2022. "A closed-loop supply chain model with learning effect, random return and imperfect inspection under price- and quality-dependent demand," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1094-1115, September.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:3:d:10.1007_s12597-021-00558-w
    DOI: 10.1007/s12597-021-00558-w
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    References listed on IDEAS

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    2. Basim S. O. Alsaedi & Osama Abdulaziz Alamri & Mahesh Kumar Jayaswal & Mandeep Mittal, 2023. "A Sustainable Green Supply Chain Model with Carbon Emissions for Defective Items under Learning in a Fuzzy Environment," Mathematics, MDPI, vol. 11(2), pages 1-36, January.

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