A model for tuna-fishery policy analysis: Combining system dynamics and Game Theory approach

E. Widodo*, Budianto

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper describes a development of tuna fishery policy analysis using a combination of System Dynamics (SD) simulation modelling and Game Theory (GT) approach under a particular project to assure the sustainability of tuna fishery industry. The project was taking place in a coast called as Sendang Biru village, Malang Regency, Indonesia. The simulation to achieve fishery sustainability is done by SD approach, while the policy decision-making is done by GT approach. The method used in this project is flexible and expandable. It can be used to provide a comprehensive policy analysis for local government and involved parties in the Malang Regency as a practical benefit as well as broaden connectivity between simulation and modelling tools as a scientific benefit.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018
PublisherIEOM Society
ISBN (Print)9781532359446
Publication statusPublished - 2018
Event8th International Conference on Industrial Engineering and Operations Management, IEOM 2018 - Bandung, Indonesia
Duration: 6 Mar 20188 Mar 2018

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018-March
ISSN (Electronic)2169-8767

Conference

Conference8th International Conference on Industrial Engineering and Operations Management, IEOM 2018
Country/TerritoryIndonesia
CityBandung
Period6/03/188/03/18

Keywords

  • Game theory
  • System dynamics
  • Tuna fishery

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