Optimal space for storage yard considering yard inventory forecasts and terminal performance |
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| Institution: | 1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Nanjing 210016, China;2. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;1. Institute for Liberal Arts and Sciences & Department of Electrical Engineering, Kyoto University, Kyotodaigaku-Katsura, Nishikyo-ku, Kyoto City, 615–8510 Kyoto, Japan;2. Institute of Information Systems, University of Hamburg, Von-Melle-Park 5, Hamburg 20146, Germany |
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| Abstract: | This paper presents a method for forecasting the yard inventory of container terminals over an extended period, and addresses an integrated yard planning problem for determining the optimal storage space utilization by considering the yard congestion effect on terminal performance. A formulation based on random variables and probabilistic functions was developed, which allows prediction of the storage space requirement without requiring fully-integrated simulation models. Then, an integrated cost objective function was defined. Numerical experiments were performed to illustrate how the forecasting model works and to support decision-making on yard planning and design for both inbound and outbound/transshipment areas. |
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| Keywords: | Yard inventory Forecasting model Stochastic approach Yard planning Storage capacity |
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