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Optimal policy in a hybrid manufacturing/remanufacturing system with financial hedging

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  • Hong Sun
  • Weida Chen
  • Zhiliang Ren
  • Biyu Liu

Abstract

This paper proposes a hybrid manufacturing/remanufacturing model with the financial hedging in the case where the randomness in demand is correlated with the financial markets. The provided models are mainly for those risk-averse remanufacturers who faced with random demand and yield. The aim of this paper is to maximise remanufacturer utility by purchasing financial instruments and producing new and remanufactured products. A hybrid manufacturing/remanufacturing system production planning model is first built under mean-variance framework, and then the financial hedging is integrated into the hybrid production system. There are three main findings. First, the variance of profit with financial hedging is always less than the variance of the model without financial hedging. Second, the remanufacturer with high (low) risk aversion is more likely to produce new (remanufactured) products. Third, the model without (with) financial hedging tends to produce new (remanufactured) products unless remanufacturing cost is low (high) enough. All those findings proved that financial hedging can reduce the operational uncertainty effectively and increase the proportion of remanufacturing, which will make remanufacturing firms more economical and environmentally friendly. Therefore, remanufacturing firms can consider using financial hedging to reduce operational uncertainty.

Suggested Citation

  • Hong Sun & Weida Chen & Zhiliang Ren & Biyu Liu, 2017. "Optimal policy in a hybrid manufacturing/remanufacturing system with financial hedging," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5728-5742, October.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:19:p:5728-5742
    DOI: 10.1080/00207543.2017.1330570
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    Cited by:

    1. Fu, Shuaishuai & Chen, Weida & Ding, Junfei & Zhang, Guoqing, 2023. "Is carbon asset pledge financing contributing to the operation of emission-dependent engineering machinery remanufacturing with emission abatement?," International Journal of Production Economics, Elsevier, vol. 266(C).
    2. Liu, Jing & Xia, Senmao & Wang, Zhaoxing & Nie, Jiajia & Ameen, Nisreen & Yan, Cheng & Lim, Ming K., 2023. "How to balance economic profits and environmental protection: The impacts of cash hedging on remanufacturing firms," International Journal of Production Economics, Elsevier, vol. 258(C).
    3. Liang, Chen & Zhu, Minghao & Lee, Peter K.C. & Cheng, T.C.E. & Yeung, Andy C.L., 2024. "Combating extreme weather through operations management: Evidence from a natural experiment in China," International Journal of Production Economics, Elsevier, vol. 267(C).
    4. Christian Scheller & Kerstin Schmidt & Thomas Stefan Spengler, 2021. "Decentralized master production and recycling scheduling of lithium-ion batteries: a techno-economic optimization model," Journal of Business Economics, Springer, vol. 91(2), pages 253-282, March.
    5. Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic financial hedging using futures," European Journal of Operational Research, Elsevier, vol. 272(3), pages 962-978.
    6. Mehmet Ali Soytaş & Damla Durak Uşar & Meltem Denizel, 2022. "Estimation of the static corporate sustainability interactions," International Journal of Production Research, Taylor & Francis Journals, vol. 60(4), pages 1245-1264, February.
    7. Hong Sun & Yan Li, 2023. "Optimal Acquisition and Production Policies for Remanufacturing with Quality Grading," Mathematics, MDPI, vol. 11(7), pages 1-21, March.

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