A class of liner fleet deployment models in the literature is revisited. We point to an implicit (and unnecessary) assumption in this class of models that can lead to fleet deployment plans that employ more vessels than strictly necessary. New analytical results are derived to relax this assumption, leading to a new and more realistic liner fleet deployment model. In a case study, it is found that the new model can lead to a substantial reduction in the fleet deployment cost, up to 15 percent. Moreover, it is observed that the new model is particularly timely in the current era where vessel sharing agreements and mega vessels are the norm, as the cost savings grow with the vessel size. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China
Wang, Shuaian
Meng, Qiang
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Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, SingaporeHong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China
机构:
E China Normal Univ, Fac Econ & Management, Sch Business Adm, Dept Business Management, Shanghai 200062, Peoples R ChinaE China Normal Univ, Fac Econ & Management, Sch Business Adm, Dept Business Management, Shanghai 200062, Peoples R China
Du, Gang
Sun, Chuanwang
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Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Econ, Xiamen 361005, Peoples R China
Cornell Univ, Dept Econ, Coll Arts & Sci, Ithaca, NY 14850 USAE China Normal Univ, Fac Econ & Management, Sch Business Adm, Dept Business Management, Shanghai 200062, Peoples R China
Sun, Chuanwang
Weng, Jinxian
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Shanghai Maritime Univ, Coll Transport & Commun, Shanghai 201306, Peoples R ChinaE China Normal Univ, Fac Econ & Management, Sch Business Adm, Dept Business Management, Shanghai 200062, Peoples R China