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Modeling of yard congestion and optimization of yard template in container ports
Institution:1. School of Economics & Management, Tongji University, Shanghai 200092, P.R. China;2. Department of Industrial Engineering & Logistics Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;3. School of data & computer science, Sun Yat-sen University, Gangzhou 510275, P.R. China;4. Laboratoire Génie Industriel, Centrale Supélec, Université Paris-Saclay, Grande Voie des Vignes, 92290 Châtenay-Malabry, France
Abstract:As a tactical-level plan, a yard template determines the assignment of spaces in a container port yard for arriving vessels. This paper investigates the concept of yard congestion quantitatively in the context of yard truck interruptions, and develops a combination of probabilistic and physics-based models for truck interruptions. The above work enables us to exactly evaluate the expected link travel time, which then acts as the basis for proposing a mixed-integer programming model that minimizes the total expected travel time of moving containers around the yard. A Squeaky Wheel Optimization based meta-heuristic is developed to solve the model. Experiments are also conducted to validate the effectiveness of the model and the solution method.
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