Berth allocation and quay crane assignment considering the adoption of different green technologies

• Published in: Transportation research. Part E, Logistics and transportation review Vol. 176; p. 103185
• Main Authors: Yu, Jingjing, Tang, Guolei, Voß, Stefan, Song, Xiangqun
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2023
• Subjects: Berth allocation; Quay crane assignment; Scrubbers; Shore side electricity; Time-of-use electricity tariff; Time-of-use electricity tariff; Shore side electricity; Scrubbers; Berth allocation; Quay crane assignment
• ISSN: 1366-5545; 1878-5794
• DOI: 10.1016/j.tre.2023.103185

To reduce vessel emissions, various green technologies have been proposed, such as switching fuel oil, using scrubbers, and implementing shore side electricity (SSE). Based on the management and operation conditions of ports and shipping companies, three impact factors are extracted: (1) the different availability of green technologies on shore and on board, (2) the time-of-use electricity tariff, and (3) the incentives. Considering them raises a problem of how to best leverage green technologies in reducing emissions while meeting the economic needs of ports and shipping companies. To address the problem, this paper first proposes a mixed-integer programming model to optimize the berth allocation and quay crane assignment, the sailing speed of vessels and the usage time of each green technology to minimize the penalty cost to the port and the vessel cost to the shipping companies. Then, a decomposition for the proposed model is conducted by the frame of the Partial Optimization Metaheuristic Under Special Intensification Conditions (POPMUSIC), and the Nested Non-dominated Sorting Genetic Algorithm II (N-NSGA-II) is applied to solve each decomposed sub-model. Numerical experiments are performed to demonstrate the applicability and effectiveness of the proposed model and solution approach. Different Pareto solutions are provided, based on which trade-offs between different objectives are dissected and managerial suggestions are outlined. •Proposes a novel optimization model for berth allocation and quay crane assignment.•Considers the adoption of different green technologies.•Develops integrative algorithms to tackle well-defined problem instances.•Finds optimal solutions for quayside operations and provides managerial insights.