インドネシアにおけるパーム油流通のグリーンサプライチェーン最適化のためのファジー多目的計画法

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:不確実性下でのコスト・排出トレードオフを扱うファジー多目的最適化の応用例として有用。

🏢実務担当者:Scope 3上流の調達・物流最適化と排出削減の同時検討に使えるモデリング枠組み。

🏛政策担当者:農業・コモディティ分野のグリーン物流政策や排出削減インセンティブ設計の参考になる。

Palm oil supply chains in Indonesia face dual pressures: minimizing distribution costs while reducing carbon emissions under uncertain demand conditions. This study proposes a Fuzzy Multi-Objective Programming (FMOP) model integrating trapezoidal membership functions to simultaneously optimize total distribution cost and CO₂ emissions across a three-echelon supply chain (suppliers, distribution centers, and retailers) in Java, Indonesia. The model incorporates fuzzy demand uncertainty using Zimmermann's symmetric approach and resolves trade-offs through a parameterized -weighted compromise method. Computational experiments on a real-world palm oil distribution network with 3 suppliers, 2 distribution centers, and 4 retailers demonstrate that the FMOP approach reduces distribution cost by 12.4% and CO₂ emissions by 9.7% compared to conventional single-objective methods. The Pareto frontier analysis reveals that the optimal compromise solution at achieves an overall satisfaction degree of 0.847. Sensitivity analysis confirms the robustness of the model across varying weight coefficients. This research contributes a practical decision-support framework for green supply chain management in the Indonesian agricultural sector.

• semanticscholar https://doi.org/10.47194/orics.v7i2.473first seen 2026-10-05 05:41:18 · last seen 2026-10-06 05:16:20