Integrating Material Circularity and Green Logistics Indicators in Supply Chain Performance Measurement Using the Green SCOR Model
グリーンSCORモデルを用いたサプライチェーンパフォーマンス測定におけるマテリアルサーキュラリティとグリーン物流指標の統合 (AI 翻訳)
Alina Cynthia Dewi, Maria Fiore Winni Kristianes, Mohammad Rachman Waluyo, Nurfajriah
🤖 gxceed AI 要約
日本語
本研究は、繊維産業（不織布セクター）のサプライチェーンにおいて、環境側面を考慮したパフォーマンス測定システムを構築した。リサイクル材料使用率などのグリーン指標を含む22の指標を特定し、AHPとObjective Matrixを用いて評価。2024年のパフォーマンススコアは5.678で、黄色（要改善）と判定された。
English
This study develops a supply chain performance measurement system integrating environmental dimensions for the textile (non-woven) industry. It identifies 22 validated indicators including recycled material usage, and uses AHP and Objective Matrix to assess performance. The 2024 score of 5.678 is classified as 'yellow' under the Traffic Light System, indicating need for improvement.
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
日本企業においても、ESG開示やGX推進の観点から、サプライチェーン全体の環境パフォーマンス測定は重要性を増している。本研究で提案された指標体系は、日本の繊維業界などでも応用可能であり、特にリサイクル材使用率の導入は、循環経済への移行に寄与する。
In the global GX context
This paper contributes to global supply chain sustainability by proposing a practical measurement framework that incorporates circularity and green logistics indicators. It is relevant for companies seeking to align with ESG reporting standards like GRI or ISSB, as it provides a monitoring tool for environmental performance.
👥 読者別の含意
🔬研究者:Methodological contribution on integrating green indicators into SCOR-based performance measurement.
🏢実務担当者:Provides a ready-to-use monitoring framework for sustainability-oriented supply chain management.
📄 Abstract（原文）
Integrating environmental considerations into supply chain performance measurement has become increasingly critical, growing sustainability and corporate responsibility. In the textile industry, particularly the non-woven sector, complex activities and mounting environmental pressures underscore the need for sustainability-oriented evaluation. The company lacks a supply chain performance measurement system that considers environmental aspects, creating a research gap that this study addresses. This study evaluates supply chain performance by embedding environmental dimensions into the measurement framework. The research was conducted in four stages: (1) identifying indicators through the Content Validity Index; (2) weighting indicators using the Analytic Hierarchy Process; (3) assessing performance with the Objective Matrix; and (4) classifying priorities through the Traffic Light System. A total of 22 validated indicators were applied, including three green indicators: Recycled Material Usage, Reusable Material, and Truck Load Optimization Rate. Recycled Material Usage was introduced as a novel indicator and validated as contextually significant for industrial supply chains. Results show a 2024 performance score of 5.678, classified as yellow under the Traffic Light System with five indicators as critical priorities for improvement. This study provides a regular monitoring tool that enables managers to establish a sustainable supply chain.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.30988/jmil.v10i1.1723first seen 2026-06-05 05:23:06 · last seen 2026-06-16 04:59:44
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