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Optimization of tuna shing logistic routes through information sharing policies: A game theory-based approach

Author

Listed:
  • Groba, Carlos
  • Sartal, Antonio
  • Bergantiños, Gustavo

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.

Suggested Citation

  • Groba, Carlos & Sartal, Antonio & Bergantiños, Gustavo, 2019. "Optimization of tuna shing logistic routes through information sharing policies: A game theory-based approach," MPRA Paper 96938, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:96938
    as

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    References listed on IDEAS

    as
    1. Patrice Guillotreau & Frédéric Salladarré & Patrice Dewals & Laurent Dagorn, 2011. "Fishing tuna around Fish Aggregating Devices (FADs) vs free swimming schools: Skipper decision and other determining factors," Post-Print halshs-00632070, HAL.
    2. John C. Harsanyi, 1967. "Games with Incomplete Information Played by "Bayesian" Players, I-III Part I. The Basic Model," Management Science, INFORMS, vol. 14(3), pages 159-182, November.
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    More about this item

    Keywords

    FAD restrictions; Tuna fishing industry; Economic incentives for sharing; Fuel consumption reduction; Game theory; Sustainability;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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