A Framework for Performance-driven Web-based Manufacturing

نویسندگان

  • Hung-Da Wan
  • Frank Chen
چکیده

The importance of continuous improvement has brought performance measurement system (PMS) into attention. Although widely discussed, PMS often plays a passive role in verifying the effectiveness of critical decisions associated with a manufacturing system. The web-based manufacturing environment provides real-time data collection and cross-platform communication, which enhances the ability of a PMS in data collection, storage, and manipulation. Consequently, the role of PMS should be reevaluated to better assess its impact on the operations of manufacturing systems. This paper proposes a performance-driven web-based manufacturing framework, where performance analysis actively leads the process of making decisions related to manufacturing systems. In this framework, historical data, current state, correlation between measures, and performance predictions constitute the decision support information set. Decisions are made to retain or improve the performance level of all business tasks. Thus continuous improvement is pursued persistently on every action to ensure a company’s continuing competitiveness in the marketplace.

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تاریخ انتشار 2004