Container fleet sizing and empty repositioning in liner shipping systems
AbstractThis paper considers the joint container fleet sizing and empty container repositioning problem in multi-vessel, multi-port and multi-voyage shipping systems with dynamic, uncertain and imbalanced customer demands. The objective is to minimize the expected total costs including inventory-holding costs, lifting-on/lifting-off costs, transportation costs, repositioning costs, and lost-sale penalty costs. A simulation-based optimization tool is developed to optimize the container fleet size and the parameterized empty repositioning policy simultaneously. The optimization procedure is based on Genetic Algorithms and Evolutionary Strategy combined with an adjustment mechanism. Case studies are given to demonstrate the results.
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Bibliographic InfoArticle provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.
Volume (Year): 45 (2009)
Issue (Month): 6 (November)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description
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- 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.
- George, David K. & Xia, Cathy H., 2011. "Fleet-sizing and service availability for a vehicle rental system via closed queueing networks," European Journal of Operational Research, Elsevier, vol. 211(1), pages 198-207, May.
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