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All Journal Jurnal Teknik Industri CAUCHY: Jurnal Matematika Murni dan Aplikasi Industrial and Systems Engineering Assessment Journal (INASEA) Jurnal Optimasi Sistem Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Indonesian Journal of Computing, Engineering, and Design Makara Journal of Technology Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Cucuk Nur Rosyidi
Universitas Sebelas Maret
Arts Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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A Framework for Sustainable Supplier Selection Integrating Grey Forecasting and F-MCDM Methods: A Case Study Enty Nur Hayati; Wakhid Ahmad Jauhari; Retno Wulan Damayanti; Cucuk Nur Rosyidi; Muhammad Hafidz Fazli Bin Md Fauadi
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p63-83.2025

Abstract

Selecting appropriate suppliers is critical for healthcare organizations to ensure high-quality, reliable, and sustainable patient care services. In an increasingly competitive environment, hospitals must optimize supplier selection not only based on economic factors but also by integrating environmental and social sustainability considerations. This study aims to create a strong system for choosing sustainable suppliers in healthcare by combining fuzzy-based multi-criteria decision-making (MCDM) methods with Grey Forecasting GM(1,1) to handle uncertainty and changes in performance over time. The proposed framework applies the Fuzzy Best-Worst Method (F-BWM) to determine the relative importance of sustainability criteria, while the Fuzzy Additive Ratio Assessment (F-ARAS) method is used to rank suppliers based on these weighted criteria. Grey Forecasting GM(1,1) is employed to predict supplier performance for future periods, with forecasting accuracy evaluated through Mean Absolute Percentage Error (MAPE). All supplier forecasts achieved MAPE values below 5%, indicating very high prediction reliability. Empirical results from a case study at a general hospital in Indonesia confirm that social aspects, such as patient safety and reputation, are prioritized over economic and environmental considerations. Practically, the proposed framework enables healthcare institutions to holistically evaluate suppliers, specifically reducing risks related to supply disruptions and quality inconsistencies. The model performs best under conditions of limited or uncertain data availability, where supplier historical performance trends can be leveraged to forecast future reliability and sustainability outcomes. The prioritization of sustainability criteria yields social criteria (weight = 0.3703) as the most important, followed by economic (0.3609) and environmental (0.2688) criteria.
Co-Authors Akbar, Reza Rizkichani Anindya Rachma Dwicahyani Ashylla Maharani Azizah Aisyati Bin Yusoff, Ahmad Razlan Dwicahyani, Anindya Rachma Eko Pujiyanto Enty Nur Hayati Erina Annastya Octaviani Fatmawati, Ani Fawzi Zamria, Mohd Fitria Ramadhani Hikmah Fadilla, Ryan Hutomo, Ricky Irwan Irwan Khasanah, Alfia Makrifatul Muhammad Hafidz Fazli Bin Md Fauadi Nariswari, Nanda Lokita Nauval Hernandoko Nina Salsabila Sulistiani Nor Sufyan Sudin, Mohd Pringgo Widyo Laksono Pringgo Widyo Laksono Pringgo Widyo Laksono Pujiyanto, Eko Ramadandhyna, Annisa Puja Retno Wulan Damayanti Retno Wulan Damayanti Reza Rizkichani Akbar Sejati, Nelita Putri Sitanggang, Indah Valentinova Sulistiani, Nina Salsabila Wakhid Ahmad Jauhari Wakhid Ahmad Jauhari Winarno Winarno