隨著資訊技術的進步以及越來越強烈的競爭，供應鍊整合已勢在必行。在供應鍊透過i-Hub整合成一體之後，首要之務即為提高整條鍊執行的效率。此次研究的目的就是設計一即時診斷預警系統來幫助延展式供應鍊來提高其執行時的效率。我們利用一工程上作可靠度分析的工具Multilevel Flow Model(MFM)，配合供應鍊的標準流程Supply Chain OPeration Reference Model(SCOR Model)兩大工具來設計此系統執行供應鍊上的所有活動的即時監控工作。當有無法預期的事件發生時，此系統會立刻診斷出整個延展式供應鍊哪裡出了問題，並將問題點加以彙整成為診斷報告以供i-Hub作顧客訂單履行規劃之用。 The realities of today's digital economy are requiring and enabling dramatically improved levels of supply chain efficiency and effectiveness. The Business-to-Business (B2B) or extended supply chain (ESC), enabled by Internet technologies, is specifically being offered as the next competitive weapon. As the ESC construct extends outward beyond the boundaries of individual companies through the use of digital technologies and integrating practices, the most important issue is about “information sharing” among the members of the chain. Due to the advancement of information technology, it is foreseeable that information hub (i-Hub) will prevail in the extended supply chain performing the tasks of collaborative planning, monitoring, and control the supply chain operations. Since gaps may occur between planning and execution which need to be prudently monitored and controlled, an alert system embedded in i-Hub will provide this mechanism in real time. A well-known engineering method - Multilevel Flow Model (MFM) is effective in controlling complex systems, such as nuclear power plant or cooling systems, to test the system safety and reliability. In this research, we apply MFM to design an alert system for i-Hub in monitoring the performance of ESC when unpredicted events occur. In addition, the emerging industrial standard Supply Chain Operation Reference (SCOR) Model is adopted to represent ESC activities. To demonstrate the proposed methodology, a case study is presented.
