使用模糊合成方法-決策試驗和評估實驗室方法評估循環供應鏈管理模型：越南食品工業

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題名:	使用模糊合成方法-決策試驗和評估實驗室方法評估循環供應鏈管理模型：越南食品工業
其他題名:	Assessing a Circular Supply Chain Management Model Using Fuzzy Synthetic Method-Decision Making Trial and Evaluation Laboratory Method: Food Industry in Vietnam
作者:	Tan, Phan Anh Tan, Phan Anh
貢獻者:	曾明朗 MING-LANG TSENG 經營管理學系
關鍵詞:	德爾菲法;協調三重底線;企業可持續發展轉型;決策試驗與評價實驗室;敏感性分析 Delphi method;coordinated triple bottom line;corporate sustainability transition;decision-making trial and evaluation laboratory;sensitivity analysis
日期:	2023
上傳時間:	2023-11-22 01:35:29 (UTC+0)
摘要:	全球食物浪費問題亟待解決。因此，每個國家的政府都在努力減少食物浪費，例如越南政府對食品工業進行投資以減少浪費。越南的食品行業正在實施（循環供應鏈管理）CSCM 以實現零浪費，但是，實施它會在快速變化的商業環境中帶來挑戰，因為服務已經變得複雜，與相關的社會、經濟和環境條件相關產品的生產和分銷。本研究通過使用模糊綜合方法決策試驗和評估實驗室方法 (FSM-DEMATEL) 來評估 CSCM 性能，以解決層次結構問題，並分別使用定性和定量措施跟踪屬性的重要性和性能水平。此外，本研究應用探索性因素分析 (EFA) 來消除不太重要的屬性，並確認所提出措施的有效性和可靠性。從經濟效益、環境影響、社會發展、生產經營風險四個方面提出了二十二條標準。本研究表明，員工在健康、安全和環境方面的熟練程度 (C18)，使用可回收或生物分解包裝減少塑料使用量 (C10)，在技術創新中找到支持資源 (C7)，提高需求利用率和供應的不確定性以提高運營效率（C19），優化生產效率以減少訂單提前期（C17），並提高副產品的有效利用（C6）是提高 CSCM 績效的關鍵成功屬性。 Global food waste problem is very essential to be solved. Thus, each country’s government has strived for reducing the food wastes, such as Vietnam government giving investment to the Food Industry to reduce their waste. Food Industry in Vietnam is implementing (circular supply chain management) CSCM to achieve zero-waste, however, implementing it brings the challenges in a fast-changing business environment as services have become complex related to the social, economic, and environmental conditions associated with the production and distribution of products. This study assesses CSCM performance by using the fuzzy synthetic method-decision making trial and evaluation laboratory method (FSM-DEMATEL) to address the hierarchical structure and trace the attributes’ importance and performance levels using qualitative and quantitative measures, respectively. In addition, this study applies exploratory factor analysis (EFA) to eliminate less important attributes and confirm the validity and reliability of the proposed measures. There are four aspects, including economic benefits, environmental impacts, social development, production and operation risks with twenty-two criteria are proposed. This study shows that the proficiency of employees in health, safety, and environment (C18), use recyclable or bio-discompose packaging for reducing the plastic usage (C10), find support resources in technological innovation (C7), increase the utilization of demand and supply uncertainty to enhance the operational efficiency (C19), optimize the production efficiency for reducing the order lead times (C17), and enhance the effective use of by-products (C6) are the key success attributes to improve the CSCM performance.
顯示於類別:	[經營管理學系 ] 博碩士論文

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