Work place: School of Mechanical & Electrical Engineering, Wuhan University of Technology, Wuhan, China
E-mail: zhaoxiuxu@whut.edu.cn
Website:
Research Interests: Engineering
Biography
Zhao Xiuxu is born in Kuidun Xingjiang China, born in September 25,1968. Between the year 1993 and 1996, gets Master degree in mechanical engineering in Wuhan Auto Industry University which is in Wuhan China. Between the year 2000 and 2004, gets PhD degree in mechanical engineering in Wuhan University of Technology which is in Wuhan China. Between the year 2005 and 2006, she was a visiting scholar of Wu Manufacturing Research Center which is in University of Michigan.
She is now an associate professor in Wuhan University of Technology, and work in Industrial Engineering Department in the school of Mechanical & Electrical Engineering. Her previous publications include [1] The Application Research of Intelligent Quality Control Based on Failure Mode and Effects Analysis Knowledge Management [Book Chapter]. Applications and Experiences of Quality Control, ISBN 978-953-307-236-4, Edited by: Prof. Ognyan Ivanov, Feb. 2011. [2] WC-Co Tool failure Analysis and the grinding effect study[J], Advanced Materials Research Vols.139-141 2010:269-273, Trans Tech Publications, Switzerland. [3] WC-Co tool failure mechanism in titanium alloys machining [J]. ttp TRANS TECH PUBLICATIONS, Key Engineering Materials 2008, V 368-372 PART 2:1137-1139 etc. Her current and previous research interests include industrial operation management, manufacturing process quality control, and enterprise informatization.
Dr. Zhao is the member of Chinese Mechanical Engineering Society, and got the third prize for Progress in Science and Technology of Wuhan in 2006.
DOI: https://doi.org/10.5815/ijisa.2012.03.05, Pub. Date: 8 Apr. 2012
Failure Mode and Effect Analysis (FMEA) is an important method to ensure the effectiveness of manufacturing process, which can prevent the happening of various potential failure. If the knowledge of FMEA can be accumulated and utilized reasonably, the quality management in manufacturing process will get decision support timely, and the efficiency of product quality problem analysis also can be improved. But, it is impossible to integrate the dispersive FMEA knowledge in the manufacturing process because there is a lack of unified management criterion of FMEA knowledge. In order to satisfy the requirement to share, reuse, and maintain FMEA knowledge, the representation method of FMEA knowledge based on ontology is put forward in this study. The structure of FMEA knowledge ontology can be described via visual modeling tool- Unified Modeling Language. In this study, the FMEA repository has been built and the acquisition, storage and searching of FMEA knowledge has been researched to satisfy the need of sharing and reusing of the FMEA knowledge in the manufacturing process.
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