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Harvest of awards at Geneva's Invention Expo Silver Medal Intelligent Condition-based Key Machinery Asset Maintenance Management Platform

Principal Investigator: Prof. Eric Ngai Wai-ting,
Department of Management and Marketing

Prof. Eric Ngai Wai-ting (right) and the textiles manufacture setting with the management platform (left)

Prof. Eric Ngai Wai-ting (right) and the textiles manufacture setting
with the management platform (left)

To improve product quality and production output, optimize manufacturing scheduling and reduce the probability of sudden asset breakdowns, PolyU has partnered with the Hong Kong Research Institute of Textiles and Apparel to develop an effective machinery asset maintenance management platform for textile enterprises. Employing artificial intelligence and smart sensor technologies, the platform helps users to obtain real-time data on asset condition from different types of sensors. Based on the captured and processed data, current and/or predicted future states of an asset can be monitored, and recommendations can be made for maintenance and operational decisions. ♦