ÌìÃÀ´«Ã½

Professor of Business and Management

Qualifications

• PhD, Manufacturing Engineering Centre, Cardiff ÌìÃÀ´«Ã½, Wales, UK
• MSc, Norwegian ÌìÃÀ´«Ã½ 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 ÌìÃÀ´«Ã½, 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 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 ÌìÃÀ´«Ã½
• 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