Professor Yi Wang

Professor of Business and Management

QualificationsYi Wang

  • PhD, Manufacturing Engineering Centre, Cardiff University, Wales, UK
  • MSc, Norwegian University of Science and Technology (NTNU), Department of Production and Quality Management, Trondheim, Norway
  • Certificate of Kaledo/Modaris, Lectra LTD, Bradford, UK
  • PGCHE (Postgraduate Certificate for Higher Education), Nottingham Trent University, Nottingham, UK
  • Certificate for Lean Management, Jaguar Land Rover, Halewood, Liverpool

Teaching Expertise

  • Digital technology management
  • Resilience and Risk Management
  • Research skills
  • Management Decision Making
  • International and Digital Business and Accounting
  • Data Analytics and Finance
  • Operations and Project Management
  • Finance and Economics for International Supply Chain

Research Interests

  • Industry 4.0/Logistics 4.0/Maritime 4.0/Fashion 4.0/ Society 5.0
  • Big data analytics
  • Operations management/research
  • Systems thinking/dynamics
  • Business/data analytics
  • Knowledge management/discovery
  • Supply chain Optimization/management
  • Consumer behaviour/Neuro-marketing
  • Product/services design(quality functions management)

Projects

  • 2016-2021: Horizon 2020 project "Enhancing and implementing knowledge based ICT solutions within high risk and uncertain conditions for agriculture production systems (RUC-APS)", funded by European Commission under Marie Curie RISE scheme, £1.3M
  • 2018-2020: Partnership with BMW mini, Big data analysis for internal logistics transparency, UK (£1,000)
  • 2018: Bangladesh Government research fund: Big data in Eco-fashion management (£56,000)
  • 2018: Arabic national institute of maritime research: Big data for Maritime Logistics Transparency (£50,000)
  • 2017: Plymouth Eye tracking Research lab, Vision lab, (£3000)
  • 2017: Erasmus /Socrates staff mobility Grant: Big data analysis in Maritime logistics (€ 3,000)
  • 2016: European cooperation inScience and technology, Intelligent RFID in supply chain management (€ 130K)
  • 2015-2017: Erasmus key action1: ICT Game development for Becybersafe (€ 130,000)

Publications

Books

  • Wang (2019), Fashion Supply Chain and Logistics Management, Rutledge
  • Wang and Y. Wang (2012) Data mining for zero-defect manufacturing, Springer,ISBN 978-82-519-2776-5
  • Oxborrow and Y. Wang (2008) Operations management for business students, Peasron, ISBN 9780857761057

Journals

  • Wang et. al (2022) Modelling enablers for building agri-food supply chain resilience: insights from a comparative analysis of Argentina and France Production Planning & Control, 11-16 , (ABS 3*impact factor 7.044)
  • Wang et. al (2021) The application of Industry 4.0 technologies in sustainable logistics: A systematic literature review (2012–2020) to explore future research opportunities, Environmental Science and Pollution Research, 1-32(Impact factor 4.223)
  • Wang et. al (2020) A surrogate-assisted optimization approach for multi-response end milling of aluminum alloy AA3105, The International Journal of Advanced Manufacturing Technology 111 (9). (SCI index, Impact factor 3.535)
  • Wang et. al (2020) A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions, Expert Systems with Applications (SCI index, ABS 3*impact factor 6.954)
  • Wang et al., (2019) A deep learning approach for abnormal detection based on SAE and LSTM in mechanical equipment, The International Journal of Advanced Manufacturing Technology, (SCI index, Impact factor 3.535)
  • Wang, Y et al’, (2019). An improved biogeography/complex algorithm based on decomposition for many-objective optimization. International Journal of Machine Learning and Cybernetics, 10(8), (Impact factor 4.377)
  • Wang et al., (2019) A deep learning driven method for fault classification and degradation assessment in mechanical equipment, Computers in Industry, (ABS 3*, impact factor: 13.554)
  • Wang et. al (2018) Automatic detection of false positive RFID readings using machine learning algorithms Expert Systems with Applications, Vol 91, pp 442-451 (ABS 3*, Impact Factor: 6.954)
  • Wang et. al (2017) The optimization for hyperbolic positioning of UHF passive RFID tags. IEEE Transactions on Automation Science and Engineering ( Impact Factor: 5.083)

Please visit Google Scholar for my publications.

Research Student Supervisions

  • Kujitime Ademi (2023) Applying Collective intelligence in enterprise management
  • Xiaotian Xie (2023) Investing big data capability for Port sustainability
  • Nancy Deraz (2022) Applying deep learning in supply chain management
  • Nasser Al Hamar Al Kathiri (2021) Expatriate Competencies as Antecedents of Knowledge Transfer and Their Impacts on Staff Localisation
  • Victor Apiafi (2021) A critical investigation of gender employment Inequalities in the offshore oil and gas industry
  • Ardam Dodokh (2020) Exploring Personal Social Networking Sites Use at Work In Jordan
  • Amani Binkhatla (2020) Opportunities and Challenges in the Implementation of ERP
  • Jonathan Walker (2020) Analysing approaches to identify opportunities for automation and specify manufacturing systems (Mphil)
  • Jindu Chizea (2019) System dynamics modelling to enable supply chain collaboration

External Activities

  • 2005 - 2007: Organizer and Co-chair, Iproms, Cardiff University
  • 2005 - present: UK Chapter System Dynamics Society
  • 2007 - present: Academy of Marketing, UK
  • 2008 - present: East Midlands Excellence Network, UK
  • 2008 - present: British Academy of Management
  • 2008 - present: European Network for Teaching, Research and Innovations
  • 2008 - present: International Technology Alliance in Network and Information Science
  • 2012 - present: International Textile Association

Internal Activities

  • PGR coordinator
  • PGR examination Chair

Contact Details

E: yi.wang@beds.ac.uk

Taught courses