Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods
Background: This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. Method: Initially comprising 21...
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Multidisciplinary Digital Publishing Institute (MDPI)
2024
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2-s2.0-85205107205 Masudin I.; Habibah I.Z.; Wardana R.W.; Restuputri D.P.; Shariff S.S.R. Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods 2024 Logistics 8 3 10.3390/logistics8030074 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205107205&doi=10.3390%2flogistics8030074&partnerID=40&md5=b5bd5e8bbe3c42408574a75a47c0c354 Background: This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. Method: Initially comprising 21 sub-criteria derived from prior research, the selection criteria are refined to 17, eliminating redundant elements. The core principle guiding this refinement is the comprehensive coverage of economic, social, and environmental dimensions, essential for sustainable supplier evaluation. Results: The study’s outcomes underscore the paramount importance of economic criteria (0.0652) in supplier selection, followed by environmental (0.0343) and social dimensions (0.0503). Key sub-criteria contributing significantly to this evaluation encompassed consistent product quality, competitive raw material pricing, proficient labor capabilities, recycling potential, punctual delivery performance, and effective waste management practices. Conclusions: These sub-criteria are thoughtfully integrated into the sustainable assessment framework, aligning seamlessly with the economic, environmental, and social criteria. © 2024 by the authors. Multidisciplinary Digital Publishing Institute (MDPI) 23056290 English Article All Open Access; Gold Open Access |
author |
Masudin I.; Habibah I.Z.; Wardana R.W.; Restuputri D.P.; Shariff S.S.R. |
spellingShingle |
Masudin I.; Habibah I.Z.; Wardana R.W.; Restuputri D.P.; Shariff S.S.R. Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
author_facet |
Masudin I.; Habibah I.Z.; Wardana R.W.; Restuputri D.P.; Shariff S.S.R. |
author_sort |
Masudin I.; Habibah I.Z.; Wardana R.W.; Restuputri D.P.; Shariff S.S.R. |
title |
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
title_short |
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
title_full |
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
title_fullStr |
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
title_full_unstemmed |
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
title_sort |
Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods |
publishDate |
2024 |
container_title |
Logistics |
container_volume |
8 |
container_issue |
3 |
doi_str_mv |
10.3390/logistics8030074 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205107205&doi=10.3390%2flogistics8030074&partnerID=40&md5=b5bd5e8bbe3c42408574a75a47c0c354 |
description |
Background: This research endeavors to enhance supplier selection processes by combining the Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies, with a specific focus on sustainability criteria. Method: Initially comprising 21 sub-criteria derived from prior research, the selection criteria are refined to 17, eliminating redundant elements. The core principle guiding this refinement is the comprehensive coverage of economic, social, and environmental dimensions, essential for sustainable supplier evaluation. Results: The study’s outcomes underscore the paramount importance of economic criteria (0.0652) in supplier selection, followed by environmental (0.0343) and social dimensions (0.0503). Key sub-criteria contributing significantly to this evaluation encompassed consistent product quality, competitive raw material pricing, proficient labor capabilities, recycling potential, punctual delivery performance, and effective waste management practices. Conclusions: These sub-criteria are thoughtfully integrated into the sustainable assessment framework, aligning seamlessly with the economic, environmental, and social criteria. © 2024 by the authors. |
publisher |
Multidisciplinary Digital Publishing Institute (MDPI) |
issn |
23056290 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1814778498307325952 |