Berth Allocation in Transshipment Ports by Considering Quay Crane Coverage and Ship Fuel Consumption

Shucheng Yu (), Bochen Wang (), Si Zhang () and Lu Zhen
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Shucheng Yu: School of Management, Shanghai University, Shanghai 200444, P. R. China
Bochen Wang: School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, P. R. China
Si Zhang: School of Management, Shanghai University, Shanghai 200444, P. R. China
Lu Zhen: School of Management, Shanghai University, Shanghai 200444, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2022, vol. 39, issue 03, 1-25

Abstract: This study investigates an integrated model for the continuous berth allocation and quay crane scheduling problem by considering quay crane coverage range, ship fuel consumption, and transshipment costs. A nonlinear mixed-integer programming model is proposed. Some nonlinear parts in this model are linearized by approximation approaches. While the objective function aims to minimize waiting costs, it also seeks to minimize fuel consumption costs from the current port to the next port and housekeeping costs generated by transshipment between vessels. A local branching-based solution algorithm is designed to solve the proposed model. Computational experiments are conducted to validate the effectiveness of the proposed scientific programming model and efficiency of the algorithm.

Keywords: Port service management; berth allocation; quay crane coverage range; fuel consumption; transshipment (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0217595921500287

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