Abstract
Loading and unloading activities generate nearly fifty per cent of the total cost in port. The loading and unloading process of the container at the port is considered as a complex process since it involves several interrelated components, such as ships, cranes, and trucks. The uncertainty of these component activities might impact the loading and unloading time and cost. Agent-based modelling and simulation (ABMS) approach is a method for analyzing and modelling a complex system. This study aims to simulate the unloading process to determine a strategy to reduces unloading process time in the largest port in Indonesian using ABMS approach. The results show that the agent-based simulation approach is feasible to be applied in port activities. This approach can assist decision-makers in predicting the number of facilities that must be used to minimize processing time.
Highlights
The use of the container for transporting goods is growing with the projected annual growth rate of ten per cent until 2020 [1]
The port cost, including loading and unloading cost itself, can reach 50 per cent of the total cost, while the 55 per cent of the port cost is the result of poor ship-handling [1,4]
It indicates that an increase in the number of container shipments will certainly influence the cost of loading and unloading processes
Summary
The use of the container for transporting goods is growing with the projected annual growth rate of ten per cent until 2020 [1]. The increase of loading and unloading process is in both the size of their fleets and the capacity in transporting container process [3]. The port cost, including loading and unloading cost itself, can reach 50 per cent of the total cost, while the 55 per cent of the port cost is the result of poor ship-handling [1,4]. It indicates that an increase in the number of container shipments will certainly influence the cost of loading and unloading processes. The optimal resource allocation planning process is essential to improve loading and unloading efficiency at the ports
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More From: International Journal for Simulation and Multidisciplinary Design Optimization
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