A maritime container repositioning yield-based optimization model with uncertain upsurge demand |
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| Institution: | 1. Department of Transportation Engineering, College of Civil Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, China;2. Kuehne Logistics University, Hamburg, Germany;3. Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;1. Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;2. Business School, Newcastle University, 5 Barrack Road, Newcastle upon Tyne NE1 4SE, UK;1. Department of Industrial Engineering, Galatasaray University, Ortaköy, ?stanbul, 34357, Türkiye;2. Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;1. Department of Logistics, Faculty of Business Administration, University of Economics, Prague, W. Churchill Sq. 4, Prague 13067, Czech Republic;2. Department of Global Business and Trade, Institute for Transport and Logistics Management, Wirtschaftsuniversität Wien, Wien 1090, Austria;3. Department of Operations Management, Copenhagen Business School, Frederiksberg 2000, Denmark |
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| Abstract: | The role of container repositioning has become more important under the severe cargo shipping environment, affected by world trade growth, trade imbalance, slow steaming strategy and high container manufacturing cost. Low cost, better routing, and supplying equipment to higher yield cargo become the top criteria. A yield-based container repositioning framework is developed, followed by a constrained linear programming optimizing the container repositioning from surplus to deficit locations. The model incorporated change of destinations of empty containers and adjustment factors handling upsurge demand. The model is applied to optimize daily container repositioning operations with a better route, costs and equipment supply. |
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| Keywords: | Empty container repositioning Shipping network Trade imbalance Maritime operations |
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