上海交通大学学报(英文版) ›› 2014, Vol. 19 ›› Issue (2): 241-250.doi: 10.1007/s12204-014-1495-5

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Mathematical Approach for Fleet Planning Under Complicated Circumstances

YANG Qiu-ping1* (杨秋平), ZHANG Hao2 (张 皞), SANG Hui-yun2 (桑惠云), XIE Xin-lian2 (谢新连)   

  1. (1. China Waterborne Transport Research Institute, Beijing 100088, China; 2. Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, China)
  • 出版日期:2014-04-30 发布日期:2014-04-29
  • 通讯作者: YANG Qiu-ping (杨秋平) E-mail: qpyang@126.com

Mathematical Approach for Fleet Planning Under Complicated Circumstances

YANG Qiu-ping1* (杨秋平), ZHANG Hao2 (张 皞), SANG Hui-yun2 (桑惠云), XIE Xin-lian2 (谢新连)   

  1. (1. China Waterborne Transport Research Institute, Beijing 100088, China; 2. Transportation Management College, Dalian Maritime University, Dalian 116026, Liaoning, China)
  • Online:2014-04-30 Published:2014-04-29
  • Contact: YANG Qiu-ping (杨秋平) E-mail: qpyang@126.com

摘要: In order to facilitate the scientific management of large-sized shipping companies, fleet planning under complicated circumstances has been studied. Based on multiple influencing factors such as the techno-economic status of ships, the investment capacity of company, the possible purchase of new ships, the buying/selling of second-hand vessels and the chartering/renting of ships, a mixed-integer programming model for fleet planning has been established. A large-sized shipping company is utilized to make an empirical study, and Benders decomposition algorithm is employed to test the applicability of the proposed model. The result shows that the model is capable for multi-route, multi-ship and large-scaled fleet planning and thus helpful to support the decision making of large-sized shipping companies.

关键词: fleet planning, mixed-integer programming, Benders decomposition algorithm

Abstract: In order to facilitate the scientific management of large-sized shipping companies, fleet planning under complicated circumstances has been studied. Based on multiple influencing factors such as the techno-economic status of ships, the investment capacity of company, the possible purchase of new ships, the buying/selling of second-hand vessels and the chartering/renting of ships, a mixed-integer programming model for fleet planning has been established. A large-sized shipping company is utilized to make an empirical study, and Benders decomposition algorithm is employed to test the applicability of the proposed model. The result shows that the model is capable for multi-route, multi-ship and large-scaled fleet planning and thus helpful to support the decision making of large-sized shipping companies.

Key words: fleet planning, mixed-integer programming, Benders decomposition algorithm

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