研究生: |
吳振維 Wu, Jhen-wei |
---|---|
論文名稱: |
網通集團導入智慧供應鏈管理評估模式之研究 A Study on the Implementation of Smart Supply Chain Management Evaluation Models in the T Group |
指導教授: |
蘇友珊
Su, Yu-Shan |
口試委員: |
蘇友珊
Su, Yu-Shan 耿筠 Yun Ken 戴建耘 Dai, Chien-Yun |
口試日期: | 2024/07/15 |
學位類別: |
碩士 Master |
系所名稱: |
工業教育學系科技應用管理碩士在職專班 Department of Industrial Education_Continuing Education Master's Program of Technological Management |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 134 |
中文關鍵詞: | 智慧供應鏈管理 、分層式決策模型 、數位轉型 、網通集團 |
英文關鍵詞: | SSCM, HDM, Digital Transformation, Network Group |
研究方法: | 分層式決策模型 |
DOI URL: | http://doi.org/10.6345/NTNU202401705 |
論文種類: | 學術論文 |
相關次數: | 點閱:100 下載:0 |
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本研究探討網通集團導入智慧供應鏈管理評估模式,透過HDM方法(分層式決策模型)分析供應鏈管理的構面與準則。研究的主要目的在於了解智慧供應鏈的概念及應用,並評估不同構面與準則間的權重排序及因果關係。最終提出對企業導入智慧供應鏈的關鍵要素與建議。
並從研究發現,在六大構面中智慧決策與分析與智慧生產規劃為最重要的兩大構面,這兩者對提升供應鏈效率及數據解讀尤其重要。其他構面則包括智慧設備平台、智慧物流與倉儲、智慧資訊網路及永續與職業安全衛生管理;準則部分則共有二十三項準則,前三名為智慧生產規劃下的先進規劃排程系統、企業資源規劃與製造執行系統。因此亦建議企業在導入智慧供應鏈時,應優先考慮這些關鍵構面與準則,並建議依照其重要程度執行專案優化。
最後本研究提供了一個評估智慧供應鏈管理的框架,透過對專家意見的彙整和數據分析,讓企業在後疫情時代提供,如何快速並有效率的導入智慧供應鏈,並提供實質性的參考。
This study examines how to implement smart supply chain management in a network group using Hierarchical Decision Modeling (HDM) to analyze key areas and criteria. The goal is to understand smart supply chains and assess the importance and relationships between different factors. The study identifies the most crucial elements and offers recommendations for businesses adopting smart supply chains.
Findings show that "Smart decision analysis" and "Smart production planning" are the most important dimensions for improving efficiency and data interpretation in the supply chain. Other key areas include "Smart device platform," "Smart logistics and warehousing," "Smart Information Network," and "Sustainability and occupational safety and health management." Among 23 criteria, the top three are Advanced planning & scheduling system, Enterprise resource planning, and Manufacturing execution system. Companies should focus on these areas and optimize projects based on their significance.
The study provides a framework for evaluating smart supply chain management, combining expert opinions and data analysis to guide businesses in effectively implementing smart supply chains in the post-pandemic era.
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