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Robust multiperiod inventory model considering trade-in program and refurbishment service: Implications to emerging markets

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  • Shin, Youngchul
  • Lee, Sangyoon
  • Moon, Ilkyeong

Abstract

We propose a closed-loop supply chain system that incorporates a trade-in program and refurbishment service simultaneously. Through the trade-in program, retailers collect used old-generation products from customers and provide them with new-generation products at a discount price. It helps to acquire the additional products required for the refurbishment service. The proposed integrated system could be useful to retailers selling the smartphone which has a high potential in emerging markets. We approximate the multistage stochastic optimization model to the robust counterpart which features a second-order cone program. Computational results provide managerial insights that could be beneficial to the retailer.

Suggested Citation

  • Shin, Youngchul & Lee, Sangyoon & Moon, Ilkyeong, 2020. "Robust multiperiod inventory model considering trade-in program and refurbishment service: Implications to emerging markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
  • Handle: RePEc:eee:transe:v:138:y:2020:i:c:s136655451931467x
    DOI: 10.1016/j.tre.2020.101932
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    5. Yang, Feng & Wang, Manman & Ang, Sheng, 2021. "Optimal remanufacturing decisions in supply chains considering consumers’ anticipated regret and power structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    6. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
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    9. Tomohiro Hayashida & Ichiro Nishizaki & Shinya Sekizaki & Junya Okabe, 2023. "Data Envelopment Analysis Approaches for Multiperiod Two-Level Production and Distribution Planning Problems," Mathematics, MDPI, vol. 11(21), pages 1-25, October.

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