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題名 企業供應鏈韌性的提升：供應鏈進階規劃平台比較分析與選擇策略
Enhancing Resilience in Supply Chain: Advanced Supply Chain Planning Platforms Analysis and Selection Strategy
作者 張寬渝
Jhang, Kuan-Yu
貢獻者 洪叔民
Horng, Shwu-Min
張寬渝
Jhang, Kuan-Yu
關鍵詞 供應鏈管理
供應鏈韌性
供應鏈風險
進階供應鏈規劃與排程
AHP 層級分析法
系統選擇策略
供給計畫
需求計畫
製造業
新冠肺炎
Supply Chain Management
Supply Chain Resilience
Supply Chain Risk
Advanced Planning and Scheduling (APS)
Analytic Hierarchy Process (AHP)
System Selection Strategy
Supply Planning
Demand Planning
Manufacturing
COVID-19
日期 2024
上傳時間 1-Jul-2024 12:23:08 (UTC+8)
摘要 在新冠肺炎對全球供應鏈造成重大的影響後，「供應鏈斷鏈」的議題不斷地被許多企業討論著，新聞媒體、報章雜誌上經常可以看見供應鏈斷鏈的事件，也因此，企業對於供應鏈的重視程度大幅上升。面對供應鏈的風險事件、企業不再依賴過去的保守應變策略，而是轉向主動採取預防措施。無論是主動預防供應鏈風險事件，或在面臨風險事件後恢復企業營運，企業對整個供應鏈資訊的掌握程度幾乎可以說是成功的關鍵。 當前，供應鏈競爭日益複雜，隨著全球化的發展，供應鏈節點增多，資訊變得更加複雜。僅掌握企業內部資訊遠不夠，企業在當前競爭環境中脫穎而出的關鍵是對整個供應鏈資訊流的掌握。資訊流不僅代表企業與合作夥伴之間的運作方式和流程，還影響整個供應鏈的運作效率和效益。其中，由於企業資源規劃（Enterprise Resource Planning, ERP）系統在進行供應鏈進階規劃時具有一定的限制性，且目前企業幾乎都仰賴線下人工進行規劃與計算，因此近年來（特別是自2020年新冠肺炎疫情後），進階規劃和排程（Advanced Planning and Scheduling, APS）系統已成為供應鏈領域的熱門話題。APS 是供應鏈資訊整合上必須的資訊應用系統，然而，對企業來說，APS 的投資金額並不小，市場上有這麼多 APS 系統，該使用哪一家企業所提供的系統，便成為了企業在做策略規劃時的一大挑戰。 本研究以供應鏈風險事件為基礎，探討企業可能會面臨的風險事件，並深入研究企業如何透過整合APS系統來提高供應鏈的可視性和韌性。同時，本研究還關注如何選擇最適合企業內部需求的 APS系統。
After global events like trade wars and the COVID-19 pandemic, "supply chain disruptions" have become a widely discussed issue among enterprises. Media outlets frequently cover supply chain disruptions, highlighting the increased awareness and importance of supply chain management for businesses. Enterprises are no longer solely reliant on conservative contingency plans but are actively implementing preventive measures in response to these risks. Mastery of the entire supply chain information is now considered crucial for success, whether it involves proactively preventing supply chain risk events or recovering business operations following such events. Supply chain competition has become increasingly complex, with globalization leading to a proliferation of supply chain nodes, resulting in more intricate information flows. Merely accessing internal enterprise information is no longer sufficient; mastering the entire supply chain information flow is essential for standing out in the current competitive environment. This information flow not only represents operational methods and processes between enterprises and their partners but also impacts the efficiency and effectiveness of the entire supply chain operation. Advanced Planning and Scheduling (APS) systems have gained prominence in the field of supply chain management, particularly since the onset of the COVID-19 pandemic in 2020. APS plays a critical role in integrating supply chain information, but choosing the right system poses a significant challenge for enterprises due to the substantial investment and numerous options available in the market. This study is centered on supply chain risk events, examining the potential risks enterprises may face and exploring methods to enhance supply chain visibility and resilience through APS system integration. Additionally, the study focuses on selecting the APS system that best aligns with the internal needs of the enterprise.
參考文獻 楊書菲. (2021, November 17). 韌性供應鏈發展趨勢與臺灣的因應對策. 國際經濟貿易服務網. https://wto.cnfi.org.tw/news_detail.php?c_id=50455 闻超, & 黎小平. (2007). 基于 ERP 与 APS 集成模型的协同供应链计划研究. 管理学报, 4(12), 31-36. Ayers, J. B. (2001). Handbook of supply chain management. Boca Raton, FL: The St. Lucie Press/APICS Series on Resource Management. Carpenter, S., Walker, B., Anderies, M., & Abel, N. (2001). From metaphor to measurement: Resilience of what to what? Ecosystems, 4(8), 765-781. Chow, D., & Heaver, T. (1999). Logistics strategies for North America (3rd ed.). In Global logistics and distribution planning. Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1-14. Christopher, M., & Peck, H. (2004). The five principles of supply chain resilience. Logistics Europe, 12(1), 16-21. Davis, T. (1993). Effective supply chain management. Sloan Management Review, 34, 35-35. de Kok, T. G., & Fransoo, J. C. (2003). Planning supply chain operations: Definition and comparison of planning concepts. In Handbooks in Operations Research and Management Science (Vol. 11, pp. 597-675). Elangovan, D., Sundararaj, G., Devadasan, S. R., & Karuppuswamy, P. (2011). Development of futuristic supply chain risk management pilot strategies for achieving loss reduction in manufacturing organisations. World Journal of Entrepreneurship, Management and Sustainable Development, 6(1/2), 39-51. Fleischmann, B., & Meyr, H. (2003). Planning hierarchy, modeling and advanced planning systems. In Handbooks in Operations Research and Management Science (Vol. 11, pp. 455-523). Gupta, A., & Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27(8-9), 1219-1227. Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9(2), 51-62. Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65(4), 646-656. Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1-23. Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285-307. Jüttner, U. (2005). Supply chain risk management: Understanding the business requirements from a practitioner perspective. The International Journal of Logistics Management, 16(1), 120-141. Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: An empirical study. Supply Chain Management: An International Journal, 16(4), 246-259. Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: Outlining an agenda for future research. International Journal of Logistics: Research and Applications, 6(4), 197-210. Langley, C., Coyle, J., Gibson, B., Novack, R., & Bardi, E. (2008). Managing supply chains: A logistics approach. Canada: South-Western Cengage Learning. Li, Z., & Ierapetritou, M. G. (2010). Rolling horizon based planning and scheduling integration with production capacity consideration. Chemical Engineering Science, 65(22), 5887-5900. Manuj, I., & Mentzer, J. T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution & Logistics Management, 38(3), 192-223. Man-Yi, T., & Xiao-Wo, T. (2006). The further study of safety stock under uncertain environment. Fuzzy Optimization and Decision Making, 5, 193-202. Matsuo, H. (2015). Implications of the Tohoku earthquake for Toyota's coordination mechanism: Supply chain disruption of automotive semiconductors. International Journal of Production Economics, 161, 217-227. Meyr, H., Rohde, J., Stadtler, H., & Sürie, C. (2000). Supply chain analysis. In Supply Chain Management and Advanced Planning: Concepts, Models, Software and Case Studies (pp. 29-56). Berlin, Heidelberg: Springer Berlin Heidelberg. Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339-2360. Nobari, A., Kheirkhah, A., & Esmaeili, M. (2019). Considering chain-to-chain competition on environmental and social concerns in a supply chain network design problem. International Journal of Management Science and Engineering Management, 14(1), 33-46. Ponis, S. T., & Koronis, E. (2012). Supply chain resilience: Definition of concept and its formative elements. The Journal of Applied Business Research, 28(5), 921-935. Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143. Rezapour, S., Farahani, R. Z., & Pourakbar, M. (2017). Resilient supply chain network design under competition: A case study. European Journal of Operational Research, 259(3), 1017-1035. Rudberg, M., & Cederborg, O. (2011). APS for tactical planning in a steel processing company. Industrial Management & Data Systems, 111(4), 608-628. Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281. Schneeweiss, C. (2003). Distributed decision making: A unified approach. European Journal of Operational Research, 150(2), 237-252. Sheffi, Y., & Rice Jr, J. B. (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review. Sheffi, Y., Rice Jr, J. B., Fleck, J. M., & Caniato, F. (2003, June). Supply chain response to global terrorism: A situation scan. In Center for Transportation and Logistics, MIT, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, EurOMA POMS Joint International Conference (pp. 1-6). Subrahmanyam, S., Pekny, J. F., & Reklaitis, G. V. (1994). Design of batch chemical plants under market uncertainty. Industrial & Engineering Chemistry Research, 33(11), 2688-2701. Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal, 16(6), 474-483. Tuncel, G., & Alpan, G. (2010). Risk assessment and management for supply chain networks: A case study. Computers in Industry, 61(3), 250-259. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1-29. Walker, B. H. (2020). Resilience: What it is and is not. Ecology and Society, 25(2), 11.
描述 碩士
國立政治大學
企業管理研究所(MBA學位學程)
111363006
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111363006
資料類型 thesis
dc.contributor.advisor 洪叔民zh_TW
dc.contributor.advisor Horng, Shwu-Minen_US
dc.contributor.author (Authors) 張寬渝zh_TW
dc.contributor.author (Authors) Jhang, Kuan-Yuen_US
dc.creator (作者) 張寬渝zh_TW
dc.creator (作者) Jhang, Kuan-Yuen_US
dc.date (日期) 2024en_US
dc.date.accessioned 1-Jul-2024 12:23:08 (UTC+8)-
dc.date.available 1-Jul-2024 12:23:08 (UTC+8)-
dc.date.issued (上傳時間) 1-Jul-2024 12:23:08 (UTC+8)-
dc.identifier (Other Identifiers) G0111363006en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/152006-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 企業管理研究所(MBA學位學程)zh_TW
dc.description (描述) 111363006zh_TW
dc.description.abstract (摘要) 在新冠肺炎對全球供應鏈造成重大的影響後，「供應鏈斷鏈」的議題不斷地被許多企業討論著，新聞媒體、報章雜誌上經常可以看見供應鏈斷鏈的事件，也因此，企業對於供應鏈的重視程度大幅上升。面對供應鏈的風險事件、企業不再依賴過去的保守應變策略，而是轉向主動採取預防措施。無論是主動預防供應鏈風險事件，或在面臨風險事件後恢復企業營運，企業對整個供應鏈資訊的掌握程度幾乎可以說是成功的關鍵。 當前，供應鏈競爭日益複雜，隨著全球化的發展，供應鏈節點增多，資訊變得更加複雜。僅掌握企業內部資訊遠不夠，企業在當前競爭環境中脫穎而出的關鍵是對整個供應鏈資訊流的掌握。資訊流不僅代表企業與合作夥伴之間的運作方式和流程，還影響整個供應鏈的運作效率和效益。其中，由於企業資源規劃（Enterprise Resource Planning, ERP）系統在進行供應鏈進階規劃時具有一定的限制性，且目前企業幾乎都仰賴線下人工進行規劃與計算，因此近年來（特別是自2020年新冠肺炎疫情後），進階規劃和排程（Advanced Planning and Scheduling, APS）系統已成為供應鏈領域的熱門話題。APS 是供應鏈資訊整合上必須的資訊應用系統，然而，對企業來說，APS 的投資金額並不小，市場上有這麼多 APS 系統，該使用哪一家企業所提供的系統，便成為了企業在做策略規劃時的一大挑戰。 本研究以供應鏈風險事件為基礎，探討企業可能會面臨的風險事件，並深入研究企業如何透過整合APS系統來提高供應鏈的可視性和韌性。同時，本研究還關注如何選擇最適合企業內部需求的 APS系統。zh_TW
dc.description.abstract (摘要) After global events like trade wars and the COVID-19 pandemic, "supply chain disruptions" have become a widely discussed issue among enterprises. Media outlets frequently cover supply chain disruptions, highlighting the increased awareness and importance of supply chain management for businesses. Enterprises are no longer solely reliant on conservative contingency plans but are actively implementing preventive measures in response to these risks. Mastery of the entire supply chain information is now considered crucial for success, whether it involves proactively preventing supply chain risk events or recovering business operations following such events. Supply chain competition has become increasingly complex, with globalization leading to a proliferation of supply chain nodes, resulting in more intricate information flows. Merely accessing internal enterprise information is no longer sufficient; mastering the entire supply chain information flow is essential for standing out in the current competitive environment. This information flow not only represents operational methods and processes between enterprises and their partners but also impacts the efficiency and effectiveness of the entire supply chain operation. Advanced Planning and Scheduling (APS) systems have gained prominence in the field of supply chain management, particularly since the onset of the COVID-19 pandemic in 2020. APS plays a critical role in integrating supply chain information, but choosing the right system poses a significant challenge for enterprises due to the substantial investment and numerous options available in the market. This study is centered on supply chain risk events, examining the potential risks enterprises may face and exploring methods to enhance supply chain visibility and resilience through APS system integration. Additionally, the study focuses on selecting the APS system that best aligns with the internal needs of the enterprise.en_US
dc.description.tableofcontents 致謝 I 中文摘要 II 英文摘要 III 目 錄 IV 圖目錄 VI 表格目錄 VII 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機 2 第三節 研究目的與預期貢獻 3 第四節 研究流程 4 第二章 文獻探討 6 第一節 供應鏈韌性：概念和重要性 6 第二節 供應鏈風險與風險管理 10 第三節 供應鏈營運與規劃與平台 13 第四節 文獻缺口整理 16 第三章 研究方法 18 第一節 研究方法與工具 19 第二節 研究對象選擇 21 第三節 研究程序 21 第四章 研究內容 25 第一節 企業供應鏈現況與困境之訪談研究整理 25 第二節 問題根本原因推測 28 第三節 供應鏈韌性總結與洞見 32 第四節 APS系統產業現況 33 第五節 市場上的參與者：進階供應鏈規劃平台(APS)產品 33 第六節 RAPID RESPONSE & IBP產品功能與特點差異比較分析 36 第七節 APS系統總結與洞見 38 第五章 研究分析與結果 39 第一節 運用AHP法，分析APS系統選擇策略 39 第二節 各層級要素間權重的計算 42 第三節 總結分析 47 第六章 研究結論與建議 49 第一節 研究結論與建議 49 第二節 研究貢獻 51 第三節 研究限制與未來建議 52 參考文獻 53zh_TW
dc.format.extent 796117 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111363006en_US
dc.subject (關鍵詞) 供應鏈管理zh_TW
dc.subject (關鍵詞) 供應鏈韌性zh_TW
dc.subject (關鍵詞) 供應鏈風險zh_TW
dc.subject (關鍵詞) 進階供應鏈規劃與排程zh_TW
dc.subject (關鍵詞) AHP 層級分析法zh_TW
dc.subject (關鍵詞) 系統選擇策略zh_TW
dc.subject (關鍵詞) 供給計畫zh_TW
dc.subject (關鍵詞) 需求計畫zh_TW
dc.subject (關鍵詞) 製造業zh_TW
dc.subject (關鍵詞) 新冠肺炎zh_TW
dc.subject (關鍵詞) Supply Chain Managementen_US
dc.subject (關鍵詞) Supply Chain Resilienceen_US
dc.subject (關鍵詞) Supply Chain Risken_US
dc.subject (關鍵詞) Advanced Planning and Scheduling (APS)en_US
dc.subject (關鍵詞) Analytic Hierarchy Process (AHP)en_US
dc.subject (關鍵詞) System Selection Strategyen_US
dc.subject (關鍵詞) Supply Planningen_US
dc.subject (關鍵詞) Demand Planningen_US
dc.subject (關鍵詞) Manufacturingen_US
dc.subject (關鍵詞) COVID-19en_US
dc.title (題名) 企業供應鏈韌性的提升：供應鏈進階規劃平台比較分析與選擇策略zh_TW
dc.title (題名) Enhancing Resilience in Supply Chain: Advanced Supply Chain Planning Platforms Analysis and Selection Strategyen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 楊書菲. (2021, November 17). 韌性供應鏈發展趨勢與臺灣的因應對策. 國際經濟貿易服務網. https://wto.cnfi.org.tw/news_detail.php?c_id=50455 闻超, & 黎小平. (2007). 基于 ERP 与 APS 集成模型的协同供应链计划研究. 管理学报, 4(12), 31-36. Ayers, J. B. (2001). Handbook of supply chain management. Boca Raton, FL: The St. Lucie Press/APICS Series on Resource Management. Carpenter, S., Walker, B., Anderies, M., & Abel, N. (2001). From metaphor to measurement: Resilience of what to what? Ecosystems, 4(8), 765-781. Chow, D., & Heaver, T. (1999). Logistics strategies for North America (3rd ed.). In Global logistics and distribution planning. Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1-14. Christopher, M., & Peck, H. (2004). The five principles of supply chain resilience. Logistics Europe, 12(1), 16-21. Davis, T. (1993). Effective supply chain management. Sloan Management Review, 34, 35-35. de Kok, T. G., & Fransoo, J. C. (2003). Planning supply chain operations: Definition and comparison of planning concepts. In Handbooks in Operations Research and Management Science (Vol. 11, pp. 597-675). Elangovan, D., Sundararaj, G., Devadasan, S. R., & Karuppuswamy, P. (2011). Development of futuristic supply chain risk management pilot strategies for achieving loss reduction in manufacturing organisations. World Journal of Entrepreneurship, Management and Sustainable Development, 6(1/2), 39-51. Fleischmann, B., & Meyr, H. (2003). Planning hierarchy, modeling and advanced planning systems. In Handbooks in Operations Research and Management Science (Vol. 11, pp. 455-523). Gupta, A., & Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning. Computers & Chemical Engineering, 27(8-9), 1219-1227. Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9(2), 51-62. Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65(4), 646-656. Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1-23. Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285-307. Jüttner, U. (2005). Supply chain risk management: Understanding the business requirements from a practitioner perspective. The International Journal of Logistics Management, 16(1), 120-141. Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: An empirical study. Supply Chain Management: An International Journal, 16(4), 246-259. Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: Outlining an agenda for future research. 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