大豆加工中小企業における流通性能評価とサプライチェーン改善のための持続可能性ベースKPIフレームワーク
A Sustainability-Based KPI Framework for Distribution Performance Assessment and Supply Chain Improvement in Soybean Processing SMEs (原題)
K. Safitri, N. Aini, Khairunnisa Sulistiawati, Nayla Uriatul Ulfa
🤖 gxceed AI 要約
日本語
インドネシアの大豆加工中小企業を対象に、トリプルボトムライン（TBL）とAHPを用いて流通性能評価のための持続可能性KPIフレームワークを開発した。経済・環境・社会の各6指標を含む18のKPIを特定し、経済次元が最も重要とされた。注文充足率と配送信頼性が最重視され、二酸化炭素排出量も重要な指標として挙げられた。
English
This study develops a sustainability-based KPI framework for distribution performance in soybean-processing SMEs in Indonesia, using TBL and AHP. It identifies 18 KPIs across economic, environmental, and social dimensions, with economic factors weighted highest. Order fulfillment and delivery reliability are top priorities, while carbon emissions are also significant.
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
日本では中小企業のサステナビリティ経営が求められる中、本フレームワークは簡易なKPI設定の参考となる。ただし、日本特有の規制やSSBJ対応には直接結びつかないため、汎用性の観点で参考にできる。
In the global GX context
This framework offers a practical approach for integrating sustainability into supply chain performance measurement, relevant to global efforts on sustainable supply chains. It aligns with TBL principles and could inform SMEs in other regions, though it does not directly address ISSB or CSRD requirements.
👥 読者別の含意
🔬研究者:Provides a validated KPI set and AHP methodology for sustainability assessment in SME supply chains.
🏢実務担当者:Offers a ready-to-use KPI framework for evaluating and improving distribution sustainability.
📄 Abstract（原文）
The sustainability of distribution activities has become increasingly important for improving supply chain performance in soybean-processing SMEs. However, many SMEs still lack a structured performance measurement system that integrates economic, environmental, and social aspects. This study aimed to develop a sustainability-based Key Performance Indicator (KPI) framework to assess distribution performance and improve supply chains for soybean-processing SMEs in Batam City, Indonesia. A quantitative case study approach was employed, using the Triple Bottom Line (TBL) concept, the Delphi method, and the Analytic Hierarchy Process (AHP). The results identified and validated 18 KPIs, comprising 6 economic, 6 environmental, and 6 social indicators. AHP analysis revealed that the Economic dimension received the highest weight (0.52), followed by the Environmental (0.29) and Social (0.19) dimensions. At the indicator level, Order Fulfillment Rate (0.109) and Delivery Reliability (0.109) achieved the highest global weights, followed by On-Time Delivery (0.104) and Carbon Emission (0.087). The consistency test yielded a CR value of 0.062, indicating reliable expert judgments. The proposed framework provides a practical tool for evaluating distribution performance, identifying improvement priorities, and supporting sustainable supply chain development in soybean-processing SMEs.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.56882/jisem.v5i1.77first seen 2026-08-30 05:01:58 · last seen 2026-09-21 04:54:00
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