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

CHIA-YAN, TSENG and SHIA-CHUNG, CHEN and WEN-REN, JONG and YUNG-HSIANG, CHANG (2015) Knowledge-Based Deriven Manufacturing System (KDMS) for Injection Molding. In: Second International Conference on Advances in Mechanical and Automation Engineering - MAE 2015, 18 - 19 April, 2015, Rome, Italy.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Intelligent, Knowledge-driven, Cloud
Depositing User: Mr. John Steve
Date Deposited: 01 May 2019 11:02
Last Modified: 01 May 2019 11:02
URI: http://publications.theired.org/id/eprint/1805

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