
Min Qingfei
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Male
Alma Mater:DUT
Degree:Doctoral Degree
School/Department:Faculty of Management & Economics, DUT
Discipline:Information Management and E-Government. Enterprise Management
Business Address:Room 406
Building of Faculty of Management & Economics,
Contact Information:
E-Mail:
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Date:2019-07-01
Indexed by:Journal Article
Date of Publication:2019-05-04
Journal:INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
Included Journals:EI、SCIE
Volume:32
Issue:4-5,SI
Page Number:413-429
ISSN:0951-192X
Key Words:Re-manufacturing; process planning; simulation; discrete event simulation; digital twin
Abstract:Engine re-manufacturing factory runs comparatively smaller but more changeable business than normal engine manufacturing factory. Therefore, it needs a simple, quick, effective, but less costly approach for process planning. This paper proposes a novel rapid simulation approach, named as Efficiency Validate Analysis, which can serve as process planning and process analysis tools. This approach is developed based on the flexible simulationframework and discrete event system specification formalism (DEVS). Internet-of-Things (IoT) data, in terms of the historical records of sensors and radio frequency identifications (RFIDs), is adopted to build the foundation of simulation. This new simulation approach is evaluated with a case in an engine re-manufacturing plant in China. By comparing with traditional methods, the results show that the new approach supports process planning tasks more effectively. This approach offers a simple but practical way to combine the virtual information world with the entity physical world and drive their bidirectional mapping in re-manufacturing process planning, analysis and optimisation.
Dr. Qingfei Min
Professor of Information Systems
PhD Supervisor
Director of Institute of Information System & Business Analytics
Visiting Scholar of University of Southern California (2010)
Member of the AIS
Research Fields:
IT/IS behavior and strategies
E-commerce/Mobile commerce/Social Commerce
Digital Transformation
Artificial Intelligence Application
Blockchain Innovation
Publications:
50+ Journal articles (25 SSCI/SCI indexed)
40+ Conference papers
4 Monographs
2 Textbooks