Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113378
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Title: Optimal deployment of container weighing equipment : models and properties
Authors: Yang, Z 
Xu, M 
Tian, X 
Jin, Y 
Wang, S 
Issue Date: Sep-2024
Source: Applied sciences (Switzerland), Sept 2024, v. 14, no. 17, 7798
Abstract: Container weighing is crucial to the safety of the shipping system and has garnered significant attention in the maritime industry. This research develops a container weighing optimization model and validates several propositions derived from this model. Then, a case study is conducted on ports along the Yangtze River, and the sensitivity analysis of the model is provided. We report the following findings. First, the model can be solved efficiently for large-scale optimization problems. Second, as the number of weighing machines increases, the container weighing mode changes—from selectively weighing containers at their origin ports, then weighing containers at their transshipment ports or destination ports, to all of the containers weighed at their origin ports. Third, in order to improve the safety benefits of weighing containers, port authorities can increase the weighing capacity of weighing machines. The research provides theoretical guidance for shipping system managers to design container weighing plans that enhance maritime safety.
Keywords: Container weighing
Maritime logistics
Mathematical programming
Publisher: MDPI AG
Journal: Applied sciences (Switzerland) 
EISSN: 2076-3417
DOI: 10.3390/app14177798
Rights: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Yang, Z., Xu, M., Tian, X., Jin, Y., & Wang, S. (2024). Optimal Deployment of Container Weighing Equipment: Models and Properties. Applied Sciences, 14(17), 7798 is available at https://doi.org/10.3390/app14177798.
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