Assessing Dependability of Order Fulfillment in the i-Hub Supported Extended Supply Chain

• Main Authors: Chin-Hung Chen, 陳智弘
• Other Authors: Hsing Pei Kao
• Format: Others
• Language: en_US
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/59169471011920932849

碩士 === 國立中央大學 === 工業管理研究所 === 91 === “E-Business” is the planning and execution of the front-end and back-end operations in a supply chain using the Internet (Lee, 2000). The E-Business changes the face of the chain form linear form to value networked form. Information hub which is the kernel of the supply chain takes order from customer, plans for the chain members to fulfill the plan and control the progress of the execution. Extended supply chain enabled by the information hub integrates their partners from information integration, synchronized planning and workflow coordination dimensions to achieve the high level speed and flexibility. Traditionally, hardware and software parts of a system are treated separately for system reliability and/or safety assessment. Nodaway, the embedded system is viewed as a whole system in which the functions of mechanical and physical devices are managed and controlled by the computer software. From the overall system perspective, many unanticipated combinations of logic software errors and/or hardware failures may exist at the interface between the two portions. Dynamic Flowgraph Methodology (DFM) employs a modeling framework in which system models are developed in terms of causal relationships between physical variables and temporal characteristics of the execution of software modules. The methodology has two fundamental functions: (1) identifying how certain postulated events may occur in a system; and (2) identifying an appropriate testing strategy based on an analysis of system functional behavior. In this research, the extended supply chain is considered analogous to a software-driven embedded system. It is found the characteristics of DFM are well fit to analyze extended supply chain of which Supply Chain Planning (SCP) system acts as the computer software controlling the physical Supply Chain Execution (SCE) system. Based on DFM, this research provides a method to assess the reliability of the extended supply chain and develop a reconfigurable model for analyzing potential failure modes existing in the extended supply chain.