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Solutions for flexible container leasing contracts with options under capacity and order constraints

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  • Liu, Cong
  • Jiang, Zhibin
  • Liu, Liming
  • Geng, Na

Abstract

The container–shipping market becomes prosperous with the development of the global economy. As shipping networks become more complex and heterogeneous, container capacity planning becomes more difficult. This paper tackles the container planning problem from the carrier’s perspective in a two-echelon container shipping service chain (CSSC), which includes one carrier and one upstream rental company. A flexible contract with options is introduced into the one-period container planning mechanism. With the flexible options contract, the rental company requires the carrier to make a commitment or place an order in advance. Options give buyer the right to modify the initial orders to better match the supply with the demand. Based on the carrier’s decision tendency, i.e., aggressive or conservative, we analyze the application strategies of the unilateral options and the bidirectional options in different practical scenarios. In particular, for the applicability of the decision models, we further consider the shipping capacity and the minimum order constraints and formulate the carrier’s option policies with constrained nonlinear programs. Numerical examples show that the proposed decision strategies with option contract cannot only effectively increase the container trading quantity between the rental company and the carrier, but also significantly reduce the carrier’s container capacity risk while increasing its profit.

Suggested Citation

  • Liu, Cong & Jiang, Zhibin & Liu, Liming & Geng, Na, 2013. "Solutions for flexible container leasing contracts with options under capacity and order constraints," International Journal of Production Economics, Elsevier, vol. 141(1), pages 403-413.
  • Handle: RePEc:eee:proeco:v:141:y:2013:i:1:p:403-413
    DOI: 10.1016/j.ijpe.2012.09.005
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    References listed on IDEAS

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    3. Xufeng Yang & Juliang Zhang & Wen Jiao & Hong Yan, 2023. "Optimal Capacity Rationing Policy for a Container Leasing System with Multiple Kinds of Customers and Substitutable Containers," Management Science, INFORMS, vol. 69(3), pages 1468-1485, March.
    4. Wang, Chong & Chen, Jing & Chen, Xu, 2019. "The impact of customer returns and bidirectional option contract on refund price and order decisions," European Journal of Operational Research, Elsevier, vol. 274(1), pages 267-279.
    5. Wu, Wei-Ming & Lin, Tsan-Hwan, 2015. "Selection behavior of the global container shipping industry for carrier-owned and leased containers," Transport Policy, Elsevier, vol. 37(C), pages 11-19.
    6. Alejandra Gómez-Padilla & Rosa G. González-Ramírez & Fernando Alarcón & Stefan Voß, 2021. "An option contract model for leasing containers in the shipping industry," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 328-347, June.
    7. Vafa Arani, Hamed & Rabbani, Masoud & Rafiei, Hamed, 2016. "A revenue-sharing option contract toward coordination of supply chains," International Journal of Production Economics, Elsevier, vol. 178(C), pages 42-56.
    8. Chen, Xu & Wan, Nana & Wang, Xiaojun, 2017. "Flexibility and coordination in a supply chain with bidirectional option contracts and service requirement," International Journal of Production Economics, Elsevier, vol. 193(C), pages 183-192.
    9. Zheng, Jianfeng & Sun, Zhuo & Zhang, Fangjun, 2016. "Measuring the perceived container leasing prices in liner shipping network design with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 123-140.
    10. Jiarong Luo & Xu Chen & Chong Wang & Gaoxun Zhang, 2021. "Bidirectional options in random yield supply chains with demand and spot price uncertainty," Annals of Operations Research, Springer, vol. 302(1), pages 211-230, July.
    11. Liu, Shuai & Hua, Guowei & Cheng, T.C.E. & Dong, Jingxin, 2021. "Unmanned vehicle distribution capacity sharing with demand surge under option contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).

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