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Fuzzy TOPSIS for Post-Harvest Losses Drivers Evaluation in Fish Supply Chain: A Case Study

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Being highly susceptible to damage, fish result in significant postharvest fish losses (PHFL) due to quality deterioration from
inefficient harvesting and market dynamics. This study aims to
identify the leading factors driving PHFL and construct a
practical decision-making framework for the fisheries industry's
development. Employing the fuzzy TOPSIS method, we
scrutinized the critical causes of PHFL. Our literature review
revealed four aspects and 13 operational processes contributing to
PHFL across the supply chain. Among these processes, four
drivers were the primary culprits: excessive fish capacity in
shipping baskets, inadequate ice cooling during transportation to
suppliers, insufficient ice cooling during supplier sorting, and the
absence of appropriate tools for small retailers. To alleviate PHFL
and enhance the fishery industry, priority should be given to
addressing excessive fish capacity in shipping baskets, which
poses a risk of physical damage during transit. Moreover,
inadequate ice-cooling techniques, particularly in transportation
and supplier sorting stages, raise public health and food safety
concerns. Stakeholders must prioritize these critical factors for
PHFL reduction.

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Ketersediaan

UIB00007694

Tersedia

Informasi Detail

Judul Seri

Jurnal Teknik Industri

No. Panggil

-

Penerbit

: Universitas Muhamadiyah Malang., 2023

Deskripsi Fisik

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Bahasa

Bahasa

ISBN/ISSN

2527-4112

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

Vol. 24, No. 2

Subjek

-

Info Detail Spesifik

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Pernyataan Tanggungjawab

Perpustakaan Islam Batik

Versi lain/terkait

Lampiran Berkas

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