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サプライチェーン管理における複雑なピタゴラスの模糊ソフトセットを用いた倉庫場所選択のためのアルゴリズムソリューション
Abaker A Hassaballa1,2, Ali Asghar3, Tasadduq Niaz4
1Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, 73213, Saudi Arabia.
Scientific reports
|August 29, 2025
まとめ
この研究では,コンプレックス・ピタゴラス・フージー・ソフト・セット (CPFSS) を使用した新しいアルゴリズムを導入し,倉庫の場所の選択を改善します. この方法はデータ不確実性を効果的に処理し,サプライチェーンの管理を良くし,配送を迅速にします.
科学分野:
- 運用研究
- サプライチェーン管理
- 意思決定科学
背景:
- 世界貿易は 効率的なサプライチェーン管理と 戦略的な流通業者配置に依存しています
- 顧客の要求がますます多様化しているため,迅速で信頼性の高い配送サービスが必要になります.
- 戦略的な倉庫の場所の選択は,ビジネス,特に電子商取引にとって,配送の期待を満たすのに不可欠です.
研究 の 目的:
- 配送センターのサイト選択のための新しいアルゴリズムアプローチを開発する.
- 場所の選択プロセスに固有のデータ不確実性と曖昧さに対処するためです.
- 情報に基づいた意思決定を通じて,サプライチェーン業務の効率と信頼性を高める.
主な方法:
- コンプレックス・ピタゴラス・フージー・ソフト・セット (CPFSS) フレームワークにおける距離測定の策定
- CPFSSの距離測定に基づく新しいアルゴリズムの開発
- 倉庫の場所の選択のための実際のケーススタディにアルゴリズムの適用.
主要な成果:
- 提案されたCPFSSベースのアルゴリズムは,サイト選択データの不確実性を効果的に処理します.
- このアルゴリズムは,HCRFTの工芸品倉庫のケーススタディに成功裏に適用されました.
- 既存のモデルとの比較による検証により,アルゴリズムの有効性が示されました.
結論:
- 新しいCPFSSアプローチは,倉庫の場所の選択のような複雑な意思決定の問題に堅固な枠組みを提供します.
- 開発されたアルゴリズムは,サプライチェーンのロジスティクスを最適化するための実用的で効果的なツールを提供します.
- この研究は,現実世界のビジネス課題の管理において,先進的な数学ツールの重要性を強調しています.
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