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Hazard rate models for core return modeling in auto parts remanufacturing

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  • Kumar, Akhilesh
  • Chinnam, Ratna Babu
  • Murat, Alper

Abstract

Under growing consumer awareness and increasing legislation, firms are realizing the importance of including sustainability within their strategic objectives to promote their green image, enhance their corporate citizenship status, and also improve profit margins. Towards this end, sustainability through product remanufacturing is gaining momentum. However, a key complication for maintaining operational efficiencies during production planning and control of remanufacturing lies in the inability to accurately forecast core returns. These difficulties are mostly attributable to limited visibility and higher levels of uncertainty in reverse logistics. Despite significant advances in the remanufacturing literature over the last two decades, there is not yet a practical approach for modeling core return delay durations when the company is engaged in business with a large remanufacturing product catalog and many customer facilities. This is particularly true for suppliers that engage in both original equipment (OE) service as well as independent after-market (IAM) businesses. This research aims to address these limitations for suppliers by developing a range of hazard rate models for core returns duration modeling. Models are also validated using data from a large global automotive supplier.

Suggested Citation

  • Kumar, Akhilesh & Chinnam, Ratna Babu & Murat, Alper, 2017. "Hazard rate models for core return modeling in auto parts remanufacturing," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 354-361.
    • Handle: RePEc:eee:proeco:v:183:y:2017:i:pb:p:354-361
    DOI: 10.1016/j.ijpe.2016.07.002
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    3. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    4. Huang, Yanting & Wang, Zongjun, 2017. "Information sharing in a closed-loop supply chain with technology licensing," International Journal of Production Economics, Elsevier, vol. 191(C), pages 113-127.

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