Optimalisasi Pemilihan Supplier Komponen Fabric pada Produk Man Shirt X Menggunakan Metode Analytical Hierarchy Process

PT. ABC is a company engaged in the production of ready-to-wear clothing. The main raw materials use fabric from various suppliers. The problem is the poor quality of the fabric raw materials and late delivery from suppliers, which has an impact on production optimization. Supplier selection is a strategic activity, especially if the supplier will supply critical items and be used in the long term. Good raw materials will produce good products. Choosing the right supplier can provide benefits for the company so that the production process runs smoothly. This study aims to determine the best supplier according to the specified criteria using the Analytical Hierarchy Process (AHP) supplier selection method in the selection of fabric component suppliers at PT. ABC. Supplier selection uses the AHP method with subjective assessment input from the company. The expectation of the final result can determine the ranking of alternatives so that it produces the best supplier based on criteria that are in accordance with the company. Based on the results of processing using the AHP method, the order of criteria obtained is quality (0.6554), delivery (0.1867), and price (0.1577). The alternative selection of raw material suppliers with the highest priority is supplier X with the best score of 1.358. This shows the most optimal supplier value in fulfilling the needs of fabric raw materials according to the criteria required by the company.

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Publication Details

Journal
JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKA
Published
2024-08-16
DOI
https://doi.org/10.55606/jtmei.v3i3.4221
Primary Topic
Management and Optimization Techniques
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article
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article

Optimalisasi Pemilihan Supplier Komponen Fabric pada Produk Man Shirt X Menggunakan Metode Analytical Hierarchy Process

Bekti Nugrahadi, Yunita Primasanti, M. Dicky Firmansyah
1 links
JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKA
Management and Optimization Techniques
article

Optimalisasi Pemilihan Supplier Komponen Fabric pada Produk Man Shirt X Menggunakan Metode Analytical Hierarchy Process

Bekti Nugrahadi, Yunita Primasanti, M. Dicky Firmansyah
article en

Abstract

PT. ABC is a company engaged in the production of ready-to-wear clothing. The main raw materials use fabric from various suppliers. The problem is the poor quality of the fabric raw materials and late delivery from suppliers, which has an impact on production optimization. Supplier selection is a strategic activity, especially if the supplier will supply critical items and be used in the long term. Good raw materials will produce good products. Choosing the right supplier can provide benefits for the company so that the production process runs smoothly. This study aims to determine the best supplier according to the specified criteria using the Analytical Hierarchy Process (AHP) supplier selection method in the selection of fabric component suppliers at PT. ABC. Supplier selection uses the AHP method with subjective assessment input from the company. The expectation of the final result can determine the ranking of alternatives so that it produces the best supplier based on criteria that are in accordance with the company. Based on the results of processing using the AHP method, the order of criteria obtained is quality (0.6554), delivery (0.1867), and price (0.1577). The alternative selection of raw material suppliers with the highest priority is supplier X with the best score of 1.358. This shows the most optimal supplier value in fulfilling the needs of fabric raw materials according to the criteria required by the company.

JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKAVol. 3(3)
Universitas Sahid Surakarta (ID)
Openalex Percentile: Top 72%
Management and Optimization Techniques
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Optimalisasi Pemilihan Supplier Komponen Fabric pada Produk Man Shirt X Menggunakan Metode Analytical Hierarchy Process — Bekti Nugrahadi, Yunita Primasanti, et al. · JURNAL TEKNIK MESIN INDUSTRI ELEKTRO DAN INFORMATIKA (2024) | TGRS Research Map | TGRS