Volume 17 -
ijmt 2023, 17 - : 25-48 |
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1- Department of Industrial Engineering, Faculty of Engineering, University of Hormozgan, Bandar Abbas, Iran;
2- Independent Researcher, Amol, Mazandaran, Iran
2- Independent Researcher, Amol, Mazandaran, Iran
Abstract: (1176 Views)
Over the past two decades, maritime transportation and container traffic worldwide has experienced rapid and continuous growth. With the increase in maritime transportation volume, the issue of greenhouse gas (GHG) emission has become one of the new concerns for port managers. Port managers and government agencies for sustainable development of maritime transportation considered "green ports" to balance between environmental impacts and economic interests. Therefore, this study aims to integrate the Berth Allocation and Quay Crane Assignment Problem (BACAP) with speed optimization and vessels emission considerations. Rajaee port, the most important port in Iran, was selected as the case study. A mathematical model is developed based on the main characteristics of this port and is solved by GAMS IDE/CPLEX software. Given the NP-hard complexity of the BACAP, exact solution approaches need huge time, even for small and medium problems. Hence, an adapted Non-Dominated Sorting Genetic Algorithm-II (NSGA- II) and a Multi-Objective Simulated Annealing (MOSA) algorithm are adopted to deal with the complexity of the proposed model. Sensitivity analysis is used to assess the applicability of the proposed model and evaluate the efficiency of the solution algorithms.
Keywords: Container Terminals, Berth Allocation Problem, Quay Crane Assignment, Mathematical Modeling, Green Ports
Type of Study: Research Paper |
Subject:
Environmental Study
Received: 2022/04/26 | Accepted: 2023/01/9
Received: 2022/04/26 | Accepted: 2023/01/9
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