Fuzzy logic for measuring performance of traditional aquaculture fish supply chain by considering the environmental impacts

Dzakiyah Widyaningrum, Said Salim Dahda and Rika Ampuh Hadiguna

International Journal of Logistics Systems and Management, 2022, vol. 43, issue 1, 112-130

Abstract: This research measures aquaculture fish supply chain (SC) performance using fuzzy logic. SC performance needs to be measured to assess how good it is. It must be done by considering the uniqueness and complexity. SC is a complex system due to its uncertainties, many actors, and different indicators. Extensive aquaculture fish is a perishable product, seasonal, and has high dependence on nature. The high dependence on nature is greatly influenced by the environment around the pond. These make the aquaculture fish SC also unique. The uniqueness and complexity will make it difficult to determine the level of SC performance. This difficulty can be overcome by using fuzzy logic. The respondents in this study were six experts in the SC. There are seven criteria to measure, i.e., facility, flexibility, efficiency, quality, responsiveness, government involvement, and environment. The result found that the overall SC performance is extremely good; with the distributors having the lowest performance.

Keywords: supply chain; performance measurement; aquaculture; fish; environment; fuzzy logic; linguistic scale. (search for similar items in EconPapers)
Date: 2022
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