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:


Paper Publications

An IoT-enabled simulation approach for process planning and analysis: a case from engine re-manufacturing industry

Hits:

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.

Personal Profile

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




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