Groba, Carlos and Sartal, Antonio and Bergantiños, Gustavo (2019): Optimization of tuna shing logistic routes through information sharing policies: A game theory-based approach.
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Abstract
The tuna fishing industry's increasing regulatory restrictions on the number of FADs per vessel is forcing companies to rethink their fishing practices to ensure their continued profitability. Despite these expanding constraints, and although many studies have been published on the use of FADs and their implications, to date there has been little research on how to help the tuna fishing industry optimize its procedures. Based on real data and using the game theory approach, we suggest a new collaborative method of employing FADs that involves their use between vessels, and we demonstrate that sharing FADs optimizes the use of fuel and time for entire fleets. Our findings show that, with the correct incentives, all stakeholders, including the company, the skipper, and even the environment, can achieve mutually improved results by sharing information.
Item Type: | MPRA Paper |
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Original Title: | Optimization of tuna shing logistic routes through information sharing policies: A game theory-based approach |
English Title: | Optimization of tuna shing logistic routes through information sharing policies: A game theory-based approach |
Language: | English |
Keywords: | FAD restrictions, Tuna fishing industry, Economic incentives for sharing, Fuel consumption reduction, Game theory, Sustainability |
Subjects: | C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C72 - Noncooperative Games |
Item ID: | 96938 |
Depositing User: | Gustavo Bergantiño |
Date Deposited: | 24 Nov 2019 22:55 |
Last Modified: | 24 Nov 2019 22:55 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/96938 |