Knowledge-Based Deriven Manufacturing System (KDMS) for Injection Molding

نویسندگان

  • Shia-Chung Chen
  • Wen-Ren Jong
  • Yung-Hsiang Chang
  • Chia-Yan Tseng
چکیده

The global manufacturing development faces the new challenges including waste of resources, short delivery time, labor cost increase, short of labor, etc.. As a result, the overall industry environment of plastic materials manufacturing turns to focus on automatic production that enables manufacturing industry entering into the next phase so that production efficiency, man-made errors, and labor shortage can be improved. In this study, a cloud based platform of knowledge-driven manufacturing system integrates science bases and practical experience of injection molding with remote control technology that can enhance traditional production efficiency in several aspects such as production guidance in design/tooling/molding phases, production scheduling for all working members and equipment and processing monitoring via internet. More important is that during each working stage, sufficient knowledge are provided and guiding/driving the design/manufacturing work. The new knowledge/data are accumulated, preserved, reused. The system has been test in Jabil Green Point and Techmation, the efficiency is more than 50% improvement as compared with traditional human operation. Keywords—Intelligent, Knowledge-driven, Cloud

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تاریخ انتشار 2015