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All Journal OPSI Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri IEJST (Industrial Engineering Journal of the University of Sarjanawiyata Tamansiswa) JAMAS: Jurnal Abdi Masyarakat
Agus Ristono
UPN Veteran Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : OPSI

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Selection of Alternative Suppliers Using Analytical Hierarchy Process dan Technique For Order Preference By Similarity To Ideal Solution Melani Magdalena Hutabarat; Agus Ristono; Sutrisno Sutrisno
OPSI Vol 14, No 2 (2021): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v14i2.5411

Abstract

Garment industry is an industry that focuses on manufacture of clothing. Along with the times, development model and function clothing is increasingly varied. Company’s effort is  determine best supplier. Based on observations in Central Java garment industry, it was found problems related to continuity of fabric supply from major suppliers. When demand soars, demand for cloth supply also increases. However, the availability of fabric supplies owned by main suppliers is not able to meet the needs of garment industry. Therefore, garment industry requires alternative backup suppliers who are able to meet the supply of fabric when the main supplier is inadequate. Supplier selection will be carried out using the Analytical Hierarchy Process (AHP) method in weighting and Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) method in ranking priority order of suppliers. This supplier priority will be used as an alternative supplier that will meet the availability of fabric supply.
A Hybrid method of SWARA and ARAS for ranking of supplier: A case study at PT.Adi Satria Abadi (PT.ASA) Ristono, Agus; Wahyuningsih, Tri; Putro, Gunawan Madyono
OPSI Vol 17, No 1 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i1.10440

Abstract

The development of a suggested model for rating suppliers is the goal of this research. In this study, suppliers are rated and ranked using Additive Ratio Assessment (ARAS) and Stepwise Weight Assessment Ratio Analysis (SWARA). The suggested approach incorporates both objective and subjective criteria while applying Delphi to a subset of the criteria. In order to test the proposed model in a leather company for actual use, a case study is provided. The model is able to capture all objective and arbitrary criteria in the dynamics of the group of decision-makers when rating suppliers. To help in decision-making, this proposed model includes criteria selection. Because the results of the ranking of suppliers will depend on how accurately the criteria are chosen. The suggested approach produces a workable resolution because it is not sensitive to changes in the parameters
A Hybrid method of SWARA and ARAS for ranking of supplier: A case study at PT.Adi Satria Abadi (PT.ASA) Ristono, Agus; Wahyuningsih, Tri; Putro, Gunawan Madyono
OPSI Vol 17 No 1 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i1.10440

Abstract

The development of a suggested model for rating suppliers is the goal of this research. In this study, suppliers are rated and ranked using Additive Ratio Assessment (ARAS) and Stepwise Weight Assessment Ratio Analysis (SWARA). The suggested approach incorporates both objective and subjective criteria while applying Delphi to a subset of the criteria. In order to test the proposed model in a leather company for actual use, a case study is provided. The model is able to capture all objective and arbitrary criteria in the dynamics of the group of decision-makers when rating suppliers. To help in decision-making, this proposed model includes criteria selection. Because the results of the ranking of suppliers will depend on how accurately the criteria are chosen. The suggested approach produces a workable resolution because it is not sensitive to changes in the parameters
Co-Authors Awang Hendrianto Pratomo Gunawan Madyono Putro, Gunawan Madyono Kusmendar, Kusmendar Melani Magdalena Hutabarat Prijoto Sutrisno Sutrisno Tri Wahyuningsih