Title: Fuzzy expert model for evaluating supply chain processes for Indonesian frozen tuna
Authors: Elia Oey; Wesley Yonathan; Marcelino Dermawan; Johanes Ronaldy Polla
Addresses: International Business and Management Program, Management Department, Binus Business School Undergraduate Program, Bina Nusantara University, Jakarta, 11480, Indonesia ' International Business and Management Program, Management Department, Binus Business School Undergraduate Program, Bina Nusantara University, Jakarta, 11480, Indonesia ' International Business and Management Program, Management Department, Binus Business School Undergraduate Program, Bina Nusantara University, Jakarta, 11480, Indonesia ' International Business and Management Program, Management Department, Binus Business School Undergraduate Program, Bina Nusantara University, Jakarta, 11480, Indonesia
Abstract: Indonesia is well-known for its tuna production. To enrich its tuna processes and expand it to export markets, it is important for tuna industry players in Indonesia to have an assessment system for their processes. The study aims to develop guidelines for export quality frozen tuna for Indonesia tuna players. Data collection was done in Nizam Zachman Oceanic Fishing Port, one of the biggest ports in Indonesia. Critical activities in each of four key areas (catching, transporting, storing and processing) were identified by open questionnaires to tuna experts. The collected data was then cleansed and grouped as critical activities, and used as fuzzy input variables into a fuzzy expert system. The model was validated using analytical hierarchy process (AHP). The proposed FES model was then used as assessment tool for Indonesia tuna industry players in evaluating their processes to establish whether they are ready to serve export markets.
Keywords: analytical hierarchy process; AHP; export; fuzzy expert system; FES; tuna.
DOI: 10.1504/IJPMB.2023.133155
International Journal of Process Management and Benchmarking, 2023 Vol.15 No.2, pp.236 - 266
Received: 14 Jun 2022
Accepted: 16 Jun 2022
Published online: 01 Sep 2023 *