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Gunawan Gunawan
Fadlan Hafid Subechi
Zaenul Arif


This study applies the Analytic Network Process (ANP) Method for selecting raw material suppliers for yarn, a crucial factor in boosting production efficiency and quality within the textile industry. The research aims to develop and validate a decision-making model that enhances supplier selection by integrating ANP with rigorous quantitative analyses. The methodology incorporates a series of experiments, thorough examination of historical data, and robust model validation processes to confirm the accuracy and dependability of the findings. The results demonstrate significant improvements in the precision of supplier selection, underscored by a high Pearson correlation coefficient of 0.89. This validates the model's effectiveness and reliability, suggesting that the developed framework not only supports data-driven and objective decision-making in the textile industry but also has potential applications in other sectors to enhance operational efficiency and sustainability


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Gunawan, G., Hafid Subechi, F. . and Arif, Z. . (2024) “Application of the analytic network process method in the selection of raw material suppliers for yarn”, Jurnal Mantik, 8(1), pp. 838-848. doi: 10.35335/mantik.v8i1.5227.
Abdullah, A. G., Shafii, M. A., Pramuditya, S., Setiadipura, T., & Anzhar, K. (2023). Multi-criteria decision making for nuclear power plant selection using fuzzy AHP: Evidence from Indonesia. Energy and AI, 14.
Afrasiabi, A., Tavana, M., & Di Caprio, D. (2022). An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environmental Science and Pollution Research, 29(25), 37291–37314.
Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry. Sustainability (Switzerland), 12(18).
Bianco, I., Picerno, G., & Blengini, G. A. (2023). Life Cycle Assessment (LCA) of Worsted and Woollen processing in wool production: ReviWool® noils and other wool co-products. Journal of Cleaner Production, 415.
Drozd, R., & Wolniak, R. (2021). Systematic assessment of product quality. Journal of Open Innovation: Technology, Market, and Complexity, 7(4).
Etemad, H. (2020). Managing uncertain consequences of a global crisis: SMEs encountering adversities, losses, and new opportunities. In Journal of International Entrepreneurship (Vol. 18, Issue 2, pp. 125–144). Springer.
Fallahpour, A., Nayeri, S., Sheikhalishahi, M., Wong, K. Y., Tian, G., & Fathollahi-Fard, A. M. (2021). A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry. Environmental Science and Pollution Research.
Göncü, K. K., & Çetin, O. (2022). A Decision Model for Supplier Selection Criteria in Healthcare Enterprises with Dematel ANP Method. Sustainability (Switzerland), 14(21).
Govindan, K., Mina, H., Esmaeili, A., & Gholami-Zanjani, S. M. (2020). An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty. Journal of Cleaner Production, 242.
Govindan, K., Shaw, M., & Majumdar, A. (2021). Social sustainability tensions in multi-tier supply chain: A systematic literature review towards conceptual framework development. Journal of Cleaner Production, 279.
Hallmann, M., Schleich, B., & Wartzack, S. (2020). From tolerance allocation to tolerance-cost optimization: a comprehensive literature review. International Journal of Advanced Manufacturing Technology, 107(11–12), 4859–4912.
Leisman, D. E., Harhay, M. O., Lederer, D. J., Abramson, M., Adjei, A. A., Bakker, J., Ballas, Z. K., Barreiro, E., Bell, S. C., Bellomo, R., Bernstein, J. A., Branson, R. D., Brusasco, V., Chalmers, J. D., Chokroverty, S., Citerio, G., Collop, N. A., Cooke, C. R., Crapo, J. D., … Maslove, D. M. (2020). Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals. Critical Care Medicine, 48(5), 623–633.
Li, Q., Xue, Z., Wu, Y., & Zeng, X. (2022). The Status Quo and Prospect of Sustainable Development of Smart Clothing. In Sustainability (Switzerland) (Vol. 14, Issue 2). MDPI.
Li, X., Liu, H., Wang, W., Zheng, Y., Lv, H., & Lv, Z. (2022). Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning. Future Generation Computer Systems, 128, 167–177.
Luo, X., Wang, Z., Yang, L., Lu, L., & Hu, S. (2023). Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets. PLoS ONE, 18(9 September).
Magableh, G. M., & Mistarihi, M. Z. (2022). Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19. Heliyon, 8(3).
Mahmoudi, A., Javed, S. A., & Mardani, A. (2022). Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era. Operations Management Research, 15(1–2), 208–232.
Masoomi, B., Sahebi, I. G., Fathi, M., Y?ld?r?m, F., & Ghorbani, S. (2022a). Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach). Energy Strategy Reviews, 40.
Masoomi, B., Sahebi, I. G., Fathi, M., Y?ld?r?m, F., & Ghorbani, S. (2022b). Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach). Energy Strategy Reviews, 40.
Rahardjo, B., Wang, F. K., Lo, S. C., & Chou, J. H. (2023). A Hybrid Multi-Criteria Decision-Making Model Combining DANP with VIKOR for Sustainable Supplier Selection in Electronics Industry. Sustainability (Switzerland), 15(5).
Rodrigues, D., Godina, R., & da Cruz, P. E. (2021). Key performance indicators selection through an analytic network process model for tooling and die industry. Sustainability (Switzerland), 13(24).
Sadeghi-Niaraki, A. (2020). Industry 4.0 Development Multi-Criteria Assessment: An Integrated Fuzzy DEMATEL, ANP and VIKOR Methodology. IEEE Access, 8, 23689–23704.
Sharma, A., Kosasih, E., Zhang, J., Brintrup, A., & Calinescu, A. (2022). Digital Twins: State of the art theory and practice, challenges, and open research questions. In Journal of Industrial Information Integration (Vol. 30). Elsevier B.V.
Tarigan, Z. J. H., Siagian, H., & Jie, F. (2021). Impact of internal integration, supply chain partnership, supply chain agility, and supply chain resilience on sustainable advantage. Sustainability (Switzerland), 13(10).
Wang, K., Ying, Z., Goswami, S. S., Yin, Y., & Zhao, Y. (2023). Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment. Sustainability (Switzerland), 15(15).
Xie, Z., Tian, G., & Tao, Y. (2022). A Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection in the Circular Economy and Industry 4.0 Era. Sustainability (Switzerland), 14(24).
Zhang, J., Yang, D., Li, Q., Lev, B., & Ma, Y. (2020). Research on Sustainable Supplier Selection Based on the Rough DEMATEL and FVIKOR Methods.