Dr Ying Xie

Head of School of Economics, Finance and Law

Faculty:Faculty of Business and Law

School:Economics, Finance and Law

Location: Chelmsford

Areas of Expertise: Business, management and leadership , Accounting and Finance

Dr Ying Xie received her PhD degree in 2004 from School of Computing and Information System, Coventry University. Currently she is the Head of School in Economics, Finance and Law, Anglia Ruskin University.

ying.xie@anglia.ac.uk

Background

With a background in Engineering and Science, Ying successfully applies the scientific tools to resolve business problems, including  business decision making, supply chain management, optimisation, as well as achieving sustainability.

Ying is keen on applied research, and has active engagement with businesses and industries. Ying has worked closely with the UK National Health Service (NHS) and Essex County Council, to investigate reverse logistics in the pharmaceutical supply chain, aiming to design a green pharmaceutical supply chain that results in less pharmaceutical waste and meaningful savings for the NHS. In 2011, Ying worked with the government of ZhouShan city, located on the south-eastern coast of China at the mouth of the Yangtze River, to provide consultancy services on how to set up a cereals logistics centre. From 2016 to present, Ying has worked closely with Felixstowe Port (UK) to develop big data-driven optimisation tools to improve economic and environmental efficiency in the Seaport Rail Terminal.

Ying has developed a number of software packages in relation to decision support systems, forecasting tool, and simulation programs, which have been adopted by Cash’s Ltd. for customer order forecasting and supply chain management. Ying has developed an advanced consultancy practice that assists SMEs to achieve sustainability, through which she generated £34,116 European Regional Development Fund for a Low Carbon KEEP project and £60,000 research income for a consultancy project with DingXun Ltd., China.

At present Ying is working with a few private sector companies and Essex County Council to develop a smart home care supply chain, which will act as a framework for the team to build a model that is complementary to formal heal and social care delivery, hence to support government’s healthy ageing agenda. 

Spoken Languages

  • English
  • Chinese
  • Cantonese

Research interests

  • The application of operations research (management science) in supply chain and finance 
  • Supply chain modelling and simulation
  • Fuzzy sets theory
  • Multi-criteria decision making
  • Time series forecasting
  • Sustainability
  • Computational thinking and big data

Areas of research supervision

  • Big data driven supply chain management
  • Prediction analysis in the area of logistics, planning, resource planning or deployment, or market demand
  • Application of operational research/management science in the areas of supply chain or financial market
  • Multi-criteria decision making
  • Healthy ageing

Ying has successfully supervised 3 PhDs and she is currently supervising 5 PhD students focusing on big data analytics in supply chain management, and productivity of industrial sector.

Teaching

Undergraduates
  • Introduction to Business Processes
  • Business Forecasting and Simulation (Lab based)
Postgraduates
  • Sustainable Supply Chain
  • Logistics Principles and International Supply Chain Management 
  • Supply Chain Modeling and Simulation (computer lab based)
  • Elements and Strategies for Supply Chain Management

Qualifications

  • PhD in Management Science, Coventry University, UK
  • MSc Intelligence Engineering, University of Liverpool, UK
  • BEng Electrical Engineering, Shenzhen University, P.R. China

Memberships, editorial boards

  • Principal Fellow of The Higher Education Academy
  • Member of Chartered Institute of Purchasing and Supply
  • Member of Chartered Institute of Logistics and Transport
  • Member of POMS (Production and Operations Management Society)
  • Member of EuroMA (European Operations Management Association)
  • Member of EURO (European Operational Research Societies)

Research grants, consultancy, knowledge exchange

  • Principal investigator, Digital education suite in Finance, Chelgate,London, £124,500, 2017-2019
  • Co-investigator: Ageing in urban communities: community health/community housing, Anglia Ruskin University Sand Pit fund, £5,000, 2019
  • Low Carbon KEEP project, funded by European Regional Development Fund (ERDF): Academic Supervisor, Cost Centre Services Ltd, 08/2014-05/2015, £34,116.67
  • Academic Supervisor, Consultancy project “A Sustainable Development of Real Estate in China”, Shanghai DingXun Industrial Group Ltd., P.R.China, 09/2011-08/2012, £60,000
  • Principal Investigator, “A Fuzzy Decision Support System for Sustainable Green Supply Chain Management”, Research and Enterprise Investment Programme funding, University of Greenwich, £7,000, 2011-12
  • Principal Investigator, “A Cross Boundary Green Pharmaceutical Supply Chain (XGPSC) approach”, Research and Enterprise Investment Programme funding, University of Greenwich, £20,000, 2010-11

Selected recent publications

Xie Y., Song D.P. (2018), “Optimal Dynamic Assignment of Internal Vehicle Fleet at a Maritime Rail Terminal with Uncertain Processing Times”, in: Fink A., Fügenschuh A., Geiger M. (eds) Operations Research Proceedings 2016. Operations Research Proceedings (GOR (Gesellschaft für Operations Research e.V.)). Springer, Cham. ISBN 978-3-319-55702-1.

Xie Y. and Breen L. (2018), “E-integrated healthcare supply chains: tracking and monitoring medical devices in the National Heath Service(NHS), UK”, in Bak O. (Ed). E-business and supply chain integration: strategies and case studies from industry. ISBN: 9780749478452.

Xie Y. and Song D. P. (2018) “Optimal planning for container pre-staging and flow rates at seaport rail terminals with uncertainty”, Transportation Research: Part E, 119, pp. 88-109. (ABS 3*)

Xie. Y, Breen L., Charrett T., Zheng D.C., and Allen C.J. (2016), “An exploratory study of reverse exchange systems used for medical devices in the UK National Health Service (NHS)”, Supply Chain Management: an International Journal, 21(2), pp.194 – 215. (ABS 3*)

Breen L. and Xie. Y(2015), “Waste not, want not. What are the drivers of sustainable medicines recycling in National Health Service (NHS) hospital pharmacies (UK)?”, International Journal of Procurement Management, 8(1/2), pp.82-103.

Xie Y., Allen C.J. and Ali M. (2014), “An integrated decision support system for ERP implementation in SMEs”, Journal of Enterprise Information Management, 27(4), pp.358-384. (ABS 2*)

Xie. Y and Breen L.(2014), “Who cares wins? A comparative analysis of household waste medicines and batteries reverse logistics systems-the case of the NHS (UK)”, Supply Chain Management: an International Journal, 19 (4), pp.455-474.(ABS 3*)

Xie Y. and Breen L. (2012), “Greening community pharmaceutical supply chain in UK: a cross boundary approach”, Supply Chain Management: an International Journal, 17(1), 40-53. (ABS 3*)

Breen L. and Xie Y. (2012), “Pharmaceutical recycling in hospital pharmacy. An analysis of why and how it is done: a multi-case study approach”, The Pharmaceutical Journal, 288, 321.

Ali M. and Xie Y. (2012), “The quest for successful implementation: a new dynamic model for ERP systems implementation innovation”, International Journal of Innovations in Business, 1(2), 113-133.  

Xie Y. and Zhou L. (2012), “Measuring the bullwhip effect in a single echelon supply chain using fuzzy approach”, International Journal of Innovation, Management and Technology, 3(5), 494-498, ISSN: 2010-0248, DOI: 10.7763/IJIMT.2012.V3.283.  

Xie Y. and Allen C.J. (2012), “The implementation of information technologies in a retail supply chain: a comparison of Tesco and Asda”, International Journal of Business Performance and Supply Chain Modelling, 5(1), 46-62.