Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry
鉄鋼業におけるグリーンサプライヤー選定のための2段階ファジィMCDM (AI 翻訳)
Chia‐Nan Wang, Thi-Ly Nguyen, Thanh‐Tuan Dang
🤖 gxceed AI 要約
日本語
ベトナム鉄鋼業のグリーンサプライヤー選定にFAHPとFTOPSISを組み合わせたハイブリッドMCDMモデルを提案。5つの主要基準（価格、品質、納期、サービス、環境）を専門家の言語評価に基づきファジィ数で扱い、上位3社を特定した。
English
This paper proposes a hybrid FAHP-FTOPSIS model for green supplier selection in Vietnam's steel industry. It evaluates suppliers based on five criteria including environment, using fuzzy numbers to handle uncertainty, and identifies top three suppliers. The model aids sustainable supply chain decisions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではSSBJ開示やScope3算定が進む中、サプライチェーン上の環境配慮は重要。本モデルは鉄鋼調達のグリーン化に応用可能で、日本企業の調達戦略に示唆を与える。
In the global GX context
Globally, green supplier selection is critical for Scope 3 emissions reduction. This study provides a practical MCDM approach for emerging economies, complementing TCFD/ISSB disclosure requirements by integrating environmental criteria into procurement decisions.
👥 読者別の含意
🔬研究者:MCDM手法の応用事例として、グリーンサプライチェーン研究に参考になる。
🏢実務担当者:調達部門がサプライヤー選定に環境基準を組み込む際の実践的枠組みを提供。
📄 Abstract（原文）
Steel is one of the most powerful industries globally, and the associated products have a tremendous impact on nurturing a sustainable society. Considering environmental concerns within this industry's supply chain is highly successful in saving both energy and natural resources and lowering greenhouse gas emissions. In light of this, sustainable suppliers are considered input partners who play a specific role in the chain of business operations of every enterprise, maintaining them to achieve higher levels of customer satisfaction and thus gain more market share. Supplier selection can be characterized as a multi-criteria decision-making (MCDM) problem under a vague and uncertain environment. In this paper, a hybrid model of fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) is suggested to determine the most potent green supplier of steel manufacturing in Vietnam based on a complete set of five main criteria (price, quality, delivery, service, environment) through literature review and experts’ responses. The significance of each criterion is measured by experts’ judgments in linguistic terms, which can be expressed in triangular fuzzy numbers using the FAHP model. Then, the FTOPIS model is deployed to rank alternatives. A case study of Vietnam's top 10 steel manufacturers is implemented to exhibit the model's effectiveness. From FAHP findings, “lead time”, “warranty”, “defect rate”, “supply capacity”, and “product price” were recognized as the most impactful criteria. As for the ranking of sustainable suppliers, “Hoa Phat Group Joint-stock company”, “Hoa Sen Group”, and “Pomina Steel Corporation” are the top three optimal suppliers. In dealing with qualitative data and input uncertainties in the supplier evaluation and selection problem, this paper can suggest more possible solutions and provide significant materials in similar outsourcing selection problems and applications of relevant industries.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.32604/iasc.2022.024548first seen 2026-08-02 17:48:05
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