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Kontovas, CA and Sooprayen, K (2020) Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique: A Case Study on Small Island Developing States—The Rodrigues Island. Sustainability, 12 (19). ISSN 2071-1050
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Maritime Cargo Prioritisation during a Prolonged Pandemic Lockdown Using an Integrated TOPSIS-Knapsack Technique A Case Study on Small Island Developing States—The Rodrigues Island.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Many remote areas, such as island states, are highly dependent on the transportation of cargo, and any disruptions similar to the 2020 pandemic lockdowns can negatively affect their respective supply chains. These disruptions could lead to a severe humanitarian crisis. It is therefore imperative to develop a cargo prioritisation process to ensure that essential commodities are transported. We propose a decision-aid tool that integrates two methods: (a) the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and (b) the knapsack problem. Containers are prioritised based on attributes such as their importance and their economic value. TOPSIS is used to calculate a score for each container and the knapsack problem determines the containers to be imported respecting the transportation capacity constraints. The practical applicability of the model is demonstrated by a case study on a Small Island Developing State. The proposed decision-aid tool could also be extended to be used in disaster relief situations.
| Item Type: | Article |
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| Uncontrolled Keywords: | 12 Built Environment and Design |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HE Transportation and Communications T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | MDPI |
| Date Deposited: | 30 Sep 2020 12:10 |
| Last Modified: | 04 Sep 2021 06:35 |
| DOI or ID number: | 10.3390/su12197992 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/13755 |
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