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Personal profile

Research interests

My research interests are intelligent manufacturing with a focus on remanufacturing, Computer Aided Manufacturing (CAD) with case studies ranging from automotive components, rolling stocks, machine tools, aeroengine components leading to papers, patents and software prototypes

Scholarly biography

 Dr. Yan Wang is one of the UK’s leading researchers in remanufacturing, has published 50+ papers in manufacturing and been granted 10 patents. Dr Wang serves on BSI technical group BS8887 which gives the definition of remanufacturing, and contributed to the forthcoming Part 3 of BS8887 “the Guide to choosing an appropriate end-of-life strategy”. She is an active reviewer of several highly rated journals and a member of the editorial board of “China Surface Engineering”. She is the secretary of the Sino-UK Low Carbon Manufacturing Consortium supported by EPSRC network fund (EP/J007870/1). She has organised several UK-China workshops in remanufacturing attended by senior government policy makers from the UK, e.g. BEIS, DIT and UKRI and China e.g. Minister of Information and Industry Technology (MIIT), standards development agencies, and industry associations. These workshops are the highest-level meetings of this kind between China and the UK in the area of remanufacturing to date. Before she moved to the UoB from the University of Nottingham, Ningbo Campus, she led a ¥9m RMB project (Approx. £1m) called Innovation Team in Low Carbon Manufacture of Automotive parts.

Approach to teaching

I am currently teaching Mechanical Design (Level 4), Manufacturing Instrumentation and measurement, and Manufacturing Engineering (Level 5) to engineering students.

Education/Academic qualification

PhD, University of Nottingham

1 Oct 200013 Jul 2005

Master, Guangdong University of Technology

1 Sep 19971 Jul 2000

Bachelor, Wuhan Textile University

1 Sep 19921 Jul 1996

External positions

Visiting Professor, Wuhan University of Science and Technology

15 Mar 201815 Mar 2021

Commitee member of British Standard BS8887, British Standards Institution (BSI)

6 Jun 2014 → …

Keywords

  • TS Manufactures
  • Low carbon manufacturing
  • Remanufacturing& repai
  • Green design
  • intelligent manufacturing

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Projects 2017 2021

Research Output 2012 2018

  • 16 Article
  • 3 Conference contribution with ISSN or ISBN
  • 1 Conference article

A Big Data based Cost Prediction Method for Remanufacturing End-of-Life Products

Ding, Z., Jiang, Z., Liu, Y., Wang, Y. & Li, C., 27 Jun 2018, 72, p. 1362-1367 6 p.

Research output: Contribution to journalConference articleResearchpeer-review

Open Access
File
Costs
Backpropagation
Particle swarm optimization (PSO)
Data mining
Big data

A configurable on-line monitoring system towards energy consumption of machine tools

Wu, P., He, Y., Lim, M. K., Wang, Y., Wang, Y. & Hu, L., 5 Sep 2018, Advances in Green Energy Systems and Smart Grid: First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings. Li, K., Zhang, J., Chen, M., Yang, Z. & Niu, Q. (eds.). Singapore, p. 139-150 12 p. (Communications in Computer and Information Science; vol. 925).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

Machine Tool
Monitoring System
Machine tools
Energy Consumption
Energy utilization

A Demands-Matching Multi-Criteria Decision-Making Method for Reverse Logistics

Wang, H., Jiang, Z., Wang, Y., Liu, Y., Li, F., Yan, W. & Zhang, H., 27 Jun 2018, 72, p. 1398-1403 6 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Analytic hierarchy process
Logistics
Entropy
Decision making
Service life

An integrated MCDM approach considering demands-matching for reverse logistics

Wang, H., Jiang, Z., Zhang, H., Wang, Y., Yang, Y. & Li, Y., 11 Oct 2018, 208, p. 199-210 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Logistics
logistics
Decision making
decision making
Analytic hierarchy process

A two-stage optimization method for energy-saving flexible job-shop scheduling based on energy dynamic characterization

Wang, H., Jiang, Z., Wang, Y., Zhang, H. & Wang, Y., 27 Mar 2018, 188, p. 575-588 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Energy conservation
Scheduling
manufacturing
energy
genetic algorithm