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A simulation-based vessel-truck coordination strategy for lighterage terminals
Institution:1. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA;2. School of Public Affairs, University of South Florida, Tampa, FL, USA;3. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China;1. Research Group Logistics, Hasselt University, Campus Diepenbeek, Agoralaan gebouw D, 3590 Diepenbeek, Belgium;2. Research Foundation Flanders (FWO), Egmontstraat 5, 1000 Brussels, Belgium;1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, PR China;2. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, PR China;3. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, PR China
Abstract:Lighterage contributes significantly to the maritime industry since thousand tons of necessary supplies have to be delivered to mother vessels anchored near sea every day. A single lighter waits to receive cargoes from multiple suppliers at the berth, while the trucks wait for their turns to enter the terminal. Due to the limited space, the terminal operation becomes vulnerable to the lack of coordination of their arrivals. In this study, despite a traditional industry, we are interested in applying the emerging technologies to improve the operation efficiency. We develop a simulation-based coordination strategy to construct coordinated schedules for both the lighters and suppliers to reduce congestions in the lighterage terminal The discrete event simulation model is developed based on understanding the real-world terminal in Singapore, and the controlled arrival method, determining coordinated arrival schedules of trucks, is introduced and embedded to the simulation model. The simulation model is tuned up with a benchmark setting of 6-month historical data. To find the optimal strategy, an advanced bi-objective simulation optimization algorithm is employed. According to our findings, the proposed strategy could significantly improve the efficiency of both lighters and trucks in various indicators. At the end, a mobile application prototype is proposed to deliver the coordinated schedules to different parties, and improve the communication between parties.
Keywords:Lighterage terminals  Simulation-based approach  Schedule coordination  Congestion reduction
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