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A sustainable supply chain model with trade credit policy for greening items incorporating learning in fuzzy environment

ファジー環境における学習を取り入れたグリーン化アイテムのトレードクレジットポリシーを伴う持続可能なサプライチェーンモデル (AI 翻訳)

Mahesh Kumar Jayaswal, Osama Abdulaziz Alamri, Nitendra Kumar

RAIRO - Operations Research📚 査読済 / ジャーナル2026-06-05#その他
DOI: 10.1051/ro/2026072
原典: https://doi.org/10.1051/ro/2026072

🤖 gxceed AI 要約

日本語

この論文は、ファジー環境における学習効果を取り入れたトレードクレジットポリシーを用いたグリーンサプライチェーンモデルを提案している。需要をファジー需要として扱い、学習曲線の影響を考慮して総在庫コストを最小化する。炭素排出コストを組み込み、環境配慮型製品のサプライチェーン最適化を目指す。数値例によりモデルの正当性を示し、感度分析を行った。

English

This paper proposes a green sustainable supply chain model with trade credit policy in a fuzzy environment incorporating learning effects. It treats demand as fuzzy and considers learning curves to minimize total inventory cost. Carbon emission costs are included to address environmental issues. A numerical example validates the model, and sensitivity analysis is provided.

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

日本企業のサプライチェーンにおけるグリーン化とカーボン排出抑制に応用可能な理論モデルだが、具体的な日本政策との連動はない。

In the global GX context

This theoretical model for green supply chain management, including carbon emission costs and trade credit, offers a quantitative framework for sustainability practices globally, but it is not specific to any disclosure regime.

👥 読者別の含意

🔬研究者:A novel fuzzy model for green supply chain under trade credit and learning effects, which can inform sustainable inventory policies.

📄 Abstract（原文）

In this paper, we deal with a green sustainable supply chain model with a trade credit policy for eco-friendly products incorporating learning in fuzzy theory, where the demand is treated as fuzzy demand and the lower and upper bounds of fuzzy demand follow the effect of the learning curve. Nowadays, the environmental issues are increasing due to global warming and affect the ordering policies of materials during supply chain. The carbon emissions are more responsible for the global warming of the environment because a lot of harmful gases are created during the production, manufacturing, and transportation of the raw material and partially manufactured items before sale and departure from the manufacturing product. Therefore, the governments of countries include some carbon emission costs to control carbon emissions. The eco-friendly items are those that preserve the environment and are beneficial for human life. Sometimes the rate of demand varies from high to lower and lower to high, and then the seller cannot calculate the expected order quantity and minimum fuzzy inventory cost for the supply chain management system. The fuzziness of demand rate can be nullified by using fuzzy environment theory, and the inventory cost can be minimized with the help of the learning concept. The trade credit policy is one type of promotional tool for selling items. When the manufacturer plans a big business for the supply of eco-friendly items or any items and tries to attract new buyers for the sale of items, the manufacturer offers the scheme of trade credit to the new purchaser for more sales and to generate more revenue during the supply chain. In this order, we minimized the total fuzzy cost with respect to the lot size under the trade credit policy for the supply chain system. A numerical example has been presented for the justification of the proposed model, and sensitivity analysis is shown about the impact of inventory input on the total fuzzy profit.

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