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Incentives to Enhance Production Reliability against Disruption: Cost-Sharing vs. Penalty

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  • Xiaodan Jin

    (School of Economics and Management, Beihang University, Beijing 100190, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beijing 100191, China)

  • Hong Zhou

    (School of Economics and Management, Beihang University, Beijing 100190, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beijing 100191, China)

Abstract

Two kinds of incentive strategies, cost-sharing and penalty, are examined in dealing with production disruption, with consideration of production process reliability as an endogenous factor for a two-echelon supply chain. Based on the Stackelberg game framework, we derive the optimal decisions of supply chain partners and compare their expected profits with different strategies. Considering the uncertain demand and the retailer’s preference against the risk, we further analyze how the partners’ decisions and the retailer’s expected profit are influenced by the feature of loss aversion. From theoretical analysis and numerical experiments, we find that: (1) overall, a penalty strategy dominates that of cost-sharing for the retailer, whereas the reverse applies with respect to the manufacturer; (2) a penalty strategy may outperform a cost-sharing strategy for the whole supply chain, depending on demand; and (3) a reasonable aversion against risk can help the retailer to achieve a more robust result when a penalty strategy is adopted under volatile and unpredictable demand.

Suggested Citation

  • Xiaodan Jin & Hong Zhou, 2022. "Incentives to Enhance Production Reliability against Disruption: Cost-Sharing vs. Penalty," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9003-:d:869097
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    References listed on IDEAS

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    1. Rongfang Yan & Dejun Kou & Bin Lu, 2019. "Optimal Order Policies for Dual-Sourcing Supply Chains under Random Supply Disruption," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    2. Volodymyr Babich & Apostolos N. Burnetas & Peter H. Ritchken, 2007. "Competition and Diversification Effects in Supply Chains with Supplier Default Risk," Manufacturing & Service Operations Management, INFORMS, vol. 9(2), pages 123-146, October.
    3. Cuihong Li, 2013. "Sourcing for Supplier Effort and Competition: Design of the Supply Base and Pricing Mechanism," Management Science, INFORMS, vol. 59(6), pages 1389-1406, June.
    4. Varun Gupta & Dmitry Ivanov, 2020. "Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 291-307, January.
    5. Ravi Anupindi & Ram Akella, 1993. "Diversification Under Supply Uncertainty," Management Science, INFORMS, vol. 39(8), pages 944-963, August.
    6. Zhuo, Wenyan & Shao, Lusheng & Yang, Honglin, 2018. "Mean–variance analysis of option contracts in a two-echelon supply chain," European Journal of Operational Research, Elsevier, vol. 271(2), pages 535-547.
    7. Jingfu Huang & Gaoke Wu & Yiju Wang, 2021. "Retailer’s Emergency Ordering Policy When Facing an Impending Supply Disruption," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    8. Lijun Ma & Weili Xue & Yingxue Zhao & Qinghua Zeng, 2016. "Loss-averse newsvendor problem with supply risk," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 214-228, February.
    9. Wu, Meng & Zhu, Stuart X. & Teunter, Ruud H., 2014. "A risk-averse competitive newsvendor problem under the CVaR criterion," International Journal of Production Economics, Elsevier, vol. 156(C), pages 13-23.
    10. Schmitt, Amanda J. & Snyder, Lawrence V. & Shen, Zuo-Jun Max, 2010. "Inventory systems with stochastic demand and supply: Properties and approximations," European Journal of Operational Research, Elsevier, vol. 206(2), pages 313-328, October.
    11. Volodymyr Babich, 2006. "Vulnerable options in supply chains: Effects of supplier competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 656-673, October.
    12. Shaoxuan Liu & Kut C. So & Fuqiang Zhang, 2010. "Effect of Supply Reliability in a Retail Setting with Joint Marketing and Inventory Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 19-32, March.
    13. Jie Chu & Kai Huang & Aurélie Thiele, 2019. "A robust optimization approach to model supply and demand uncertainties in inventory systems," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(11), pages 1885-1899, November.
    14. Bo He & He Huang & Kaifu Yuan, 2016. "Managing supply disruption through procurement strategy and price competition," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 1980-1999, April.
    15. Tao Li & Suresh P. Sethi & Jun Zhang, 2017. "Mitigating Supply Uncertainty: The Interplay Between Diversification and Pricing," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 369-388, March.
    16. Yan, Nina & He, Xiuli & Liu, Ye, 2019. "Financing the capital-constrained supply chain with loss aversion: Supplier finance vs. supplier investment," Omega, Elsevier, vol. 88(C), pages 162-178.
    17. Hasani, Aliakbar & Khosrojerdi, Amirhossein, 2016. "Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 20-52.
    18. Georgia Perakis & Guillaume Roels, 2008. "Regret in the Newsvendor Model with Partial Information," Operations Research, INFORMS, vol. 56(1), pages 188-203, February.
    19. Kevin B. Hendricks & Vinod R. Singhal, 2005. "Association Between Supply Chain Glitches and Operating Performance," Management Science, INFORMS, vol. 51(5), pages 695-711, May.
    20. Li, Yongjian & Zhen, Xueping & Qi, Xiangtong & Cai, Gangshu (George), 2016. "Penalty and financial assistance in a supply chain with supply disruption," Omega, Elsevier, vol. 61(C), pages 167-181.
    21. Sammi Y. Tang & Haresh Gurnani & Diwakar Gupta, 2014. "Managing Disruptions in Decentralized Supply Chains with Endogenous Supply Process Reliability," Production and Operations Management, Production and Operations Management Society, vol. 23(7), pages 1198-1211, July.
    22. Zhibin (Ben) Yang & Göker Ayd{i}n & Volodymyr Babich & Damian R. Beil, 2009. "Supply Disruptions, Asymmetric Information, and a Backup Production Option," Management Science, INFORMS, vol. 55(2), pages 192-209, February.
    23. Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
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