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Joint optimization of manufacturing/remanufacturing lot sizes under imperfect information on returns quality

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  • Panagiotidou, Sofia
  • Nenes, George
  • Zikopoulos, Christos
  • Tagaras, George

Abstract

The increased quality volatility that characterizes returned used products in reverse supply chains, has led both academic research and industrial practice to support the establishment of, preferably fast and inexpensive, procedures for the quality assessment of returns. To this end, an initial classification of returns is typically performed based on some easily acquirable usage information, which is inherently - yet not always perfectly - related to their quality. Despite the criticality of the returns classification process and its impact on the reverse supply chain operation and profitability, little work has been done on the determination of the optimal threshold values, used to classify returns into different quality categories, taking into account the inevitable quality assessment inaccuracies. Motivated by multiple related reports from industrial applications, in the present paper the problem of optimizing the returns classification process under partial quality information in a hybrid manufacturing/remanufacturing facility is studied. More specifically, analytical models for the joint optimization of the new and returned products lot-sizing decisions are developed, based on usage information of returns which is only indirectly related to their remanufacturability. Our analysis provides useful insights on the value of information regarding the quality of returns under an indicator-based initial classification process. Numerical evidence on the economic superiority of the proposed models under alternative quality patterns of returns is also provided.

Suggested Citation

  • Panagiotidou, Sofia & Nenes, George & Zikopoulos, Christos & Tagaras, George, 2017. "Joint optimization of manufacturing/remanufacturing lot sizes under imperfect information on returns quality," European Journal of Operational Research, Elsevier, vol. 258(2), pages 537-551.
  • Handle: RePEc:eee:ejores:v:258:y:2017:i:2:p:537-551
    DOI: 10.1016/j.ejor.2016.08.044
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    References listed on IDEAS

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    Cited by:

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    2. Fang, Chang & Fan, Shuyi & Chi, Mingxiang & Wang, Weizhong, 2023. "The optimal remanufacturing strategy, returned quality choice and independent remanufacturers’ advantage for tackling extreme weather," International Journal of Production Economics, Elsevier, vol. 259(C).
    3. Kilic, Onur A. & Tunc, Huseyin, 2019. "Heuristics for the stochastic economic lot sizing problem with remanufacturing under backordering costs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 880-892.
    4. Kilic, Onur A. & Tunc, Huseyin & Tarim, S. Armagan, 2018. "Heuristic policies for the stochastic economic lot sizing problem with remanufacturing under service level constraints," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1102-1109.
    5. Gong, Hailei & Zhang, Zhi-Hai, 2022. "Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems," European Journal of Operational Research, Elsevier, vol. 297(2), pages 496-510.
    6. Gunasekara, Lahiru & Robb, David J. & Zhang, Abraham, 2023. "Used product acquisition, sorting and disposition for circular supply chains: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 260(C).
    7. Chen, Xu & Li, Shanshan & Wang, Xiaojun, 2020. "Evaluating the effects of quality regulations on the pharmaceutical supply chain," International Journal of Production Economics, Elsevier, vol. 230(C).
    8. Zhang, Yunrong & Hong, Zhaofu & Chen, Zhixiang & Glock, Christoph H., 2020. "Tax or subsidy? Design and selection of regulatory policies for remanufacturing," European Journal of Operational Research, Elsevier, vol. 287(3), pages 885-900.
    9. Weisheng Deng, 2019. "Does Remanufacturing Always Benefit the Manufacturer and Hurt the Supplier?," Sustainability, MDPI, vol. 11(6), pages 1-13, March.
    10. Ponte, Borja & Cannella, Salvatore & Dominguez, Roberto & Naim, Mohamed M. & Syntetos, Aris A., 2021. "Quality grading of returns and the dynamics of remanufacturing," International Journal of Production Economics, Elsevier, vol. 236(C).
    11. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
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