汇报题目：参加ASME IDETC/CIE 2018国际会议总结报告会
汇报时间：2018年9月5日(星期三) 19:00
汇报地点：机械工程学院第一会议室
汇报人：张超
会议名称：Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
会议时间：August 26-29,2018
会议地点：Quebec City, Quebec, Canada
会议简介：The ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2018) will take place during August 26-29, 2018 in Quebec City, Canada. IDETC/CIE 2018 will highlight emergent technologies that impact the critical engineering issues of product design and development, manufacturing, and the management and integration of information systems throughout the product life-cycle. These events are key international meetings for design and manufacturing engineers in academia, government and industry.
会议交流工作
Oral presentation: HEKM: A high-end equipment knowledge management system for supporting knowledge-driven decision-making in new product development
报告人：张超
参加论文信息
Title: HEKM: A high-end equipment knowledge management system for supporting knowledge-driven decision-making in new product development
Author: Chao Zhang, Guanghui Zhou, Quandong Bai, Qi Lu, Fengtian Chang
Abstract: Pre-existing knowledge buried in high-end equipment manufacturing enterprises could be effectively reused to help decision-makers develop good judgements to make decisions about the problems in new product development, which in turn speeds up and improves the quality of product innovation. Nevertheless, a knowledge-based decision support system in high-end equipment domain is still not fully accomplished due to the complication of knowledge content, fragmentation of knowledge theme, heterogeneousness of knowledge format, and decentralization of knowledge storage. To address these issues, this paper develops a high-end equipment knowledge management system (HEKM) for supporting knowledge-driven decision-making in new product development. HEKM provides three steps for knowledge management and reuse. Firstly, knowledge resources are captured and structured through a standard knowledge description template. Then, OWL ontologies are employed to explicitly and unambiguously describe the concepts of the captured knowledge and also the relationships that hold between those concepts. Finally, the Personalized PageRank algorithm together with ontology reasoning approach is used to perform knowledge navigation, where decision-makers could acquire the most relevant knowledge for a given problem through knowledge query or customized active push. The feasibility and effectiveness of HEKM are demonstrated through three industrial application examples.
