Profile

Dr Qing Wang, BEng MSc PhD CEng MIMechE MIEEE FHEA

(email at qing.wang@durham.ac.uk)

Biography

Dr. Qing Wang is a Lecturer in the Mechanics Group within the School of Engineering and Computing Sciences at Durham University. Dr Wang has over ten years experience in research, industrial and project management. Her PhD programme was sponsored by BAE Systems and her doctoral research was carried out to identify and develop Artificial Neural Network techniques for use within the cost model development process. Her ANN techniques have since been successfully applied to the development of consultancy work to establish thermoforming cost models within the Composite Wing Program, BAE Systems.

Her research interests focus on cost engineering, in particular manufacturing process time estimating for composite aircraft wing structure and application of advanced artificial intelligent technology in cost modelling and cost estimation. In addition, she is also interested in the function of virtual manufacturing and systems involved in operations research, product life cycle management and enterprise supply networks design.

Research Groups

• Mechanics Research Group

Research Interests

• Cost Engineering: cost modelling, cost estimation, cost reduction and control
• Manufacturing system simulation
• Sustainable design and manufacturing
• Freeform surface metrology technologies
• Supply chain management optimisation and integration

Selected Publications

Books: sections

• Wang, Q. (2005). Virtual Manufacturing & Systems. In E-Manufacturing: Fundamentals and Applications. Southampton: WIT Press. 231-263.

Edited works: conference proceedings

• Dai, H. & Wang, Q. (2012). Reverse logistics network design for the collection of end-of-life vehicles. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE, Chicago, Iiilinois, USA, ASME.
• Liu, Jun & Wang, Qing (2011). Towards Sustainable Product Design. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC/CIE 2011, Washington DC USA, ASME.
• Yang, B. R. Wang, Q., Trevelyan, J. & Crouch, R. S. (2010). An application of freeform surface modelling by laser scanning technique and reverse engineering. 8th International Conference on Manufacturing Research, Durham University.
• Jones, N. & Wang, Q. (2009). A mixed integer programming approach for logistic network design and optimisation information and value adding networks. The 6th International Conference on Digital Enterprise Technology, Hong Kong.
• Wang, Q. (2009). Developing a simulation approach to support sustainable remanufacturing planning and control. The 7th International Conference on Manufacturing Research, University of Warwick.
• Sweetman, A. & Wang, Q. (2008). Development of a consumer end-of-life vehicle database system. International Conference on Manufacturing Research 2008, Brunel University, U.K..
• Wang, Q. (2008). Evaluation of order release mechanisms in supply chain networks: a simulation approach. DET 2008, 5th International Conference on Digital Enterprise Technology, Nantes, France, Publibook.
• Russel-Johnson, R. & Wang, Q. (2007). End of life recovery and recycling technology in the automotive industry. 4th Intenational Conference on Digital Enterprise Technology, University of Bath, U. K..
• Woy, U. & Wang, Q. (2007). Enterprise resource planning (ERP): Business process innovation management in a manufacturing SME. International Conference on Manufacturing Research, De Montfort University, U.K..
• Massey, T & Wang, Q. (2007). Modelling and simulation of complex manufacturing systems. The World Congress on Engineering: International Conference of Manufacturing Engineering and Engineering Management, Imperial College, London.
• Woy, U. & Wang, Q. (2007). New product development: implementing procedures for sustainable product development in SME's utilising available technologies. The IET International Conference on Agile Manufacturing, Durham University, U.K..
• Doyle, J. & Wang, Q. (2007). Product life cycle process analysis. International Conference on Product Life Cycle Management: Assessing the Industrial Relevance, Kilometro rosso, Italy.
• Woy, U. Bramall, D.G. & Wang, Q. (2006). A framework for evaluating and selecting computer aided design (CAD) and computer aided manufacturing (CAM) system for use in Small-to-Medium-Sized enterprises (SMEs). Business Innovation for Small-Medium Sized Enterprises.
• Wang, Q. Stockton, D.J. & Maropoulos, P (2005). Agile design of the integrated multi-component flexible machining lines. International Conference on Agility, Helsinki University of Technology, Finland.
• Wang, Q. & Maropoulos, P. (2005). Artificial neural networks as a cost engineering methods in collaborative manufacturing environment. 12th ISPE International Conference on Concurrent Engineering Research and Applications, Fort Worth/Dallas, USA, International Society for Productivity Enhancement.
• Wang, Q. Potter, N. & Maropoulos, P. (2005). Life cycle costing in product design. 1st International Conference on Innovation and Intergration in Aerospace Sciences, Queens University of Belfast, U.K..
• Baguley, P., Armoutis, N., Vogt, O., Coates, G., Wang, Q. & Maropoulos, P. (2004). Cost engineering within collaborating production networks. The 11th Annual European Concurrent Engineering Conference, Hasselt, Belgium.
• Wang, Q. & Maropoulos, P. (2004). Development of an integrated simulation tool for flexible machining lines. The 4th International Conference on e-engineering & Digital Enterprise Technology, Leeds Matropolitan University, U.K..
• Wang, Q. & Maropoulos, P. (2004). Improving supply chain collaboration by cost modelling technology. The 11th ISPE International Conference on Concurrent Engineering: Research and Applications, Beijing, China.
• Baguley, P., Wang, Q. & Maropoulos, P. (2004). System thinking applied to life cycle costing and life cycle engineering. The 10th International Conference on Concurrent Enterprising, Spain.
• Wang, Q. & Stockton, D.J. (2003). Database design for flexible machining lines. International Conference on Agile Manufacturing, Beijing, China.
• Wang, Q. & Stockton, D.J. (2003). Designing multi-component flexible machining lines. The 1st International Conference on Manufacturing Research, Incorporating the Nineteenth National Conference on Manufacturing Research, University of Strathclyde, U.K..
• Baguley, P., Wang, Q. & Stockton, D.J. (2003). Improving cost modelling using fuzzy logic. 1st International Conference on Manufacturing Research, Incorporating the Nineteenth National Conference on Manufacturing Research, University of Strathclyde, U. K..
• Wang, Q. & Stockton, D.J. (2002). Artificial neural networks and their applications in cost model development process. Artificial Neural Networks in Engineering 2002, USA.
• Wang, Q. & Stockton, D.J. (2002). Artificial neural networks for improving the cost model development process. The Eighteenth National Conference on Manufacturing Research, Leeds Matropolitan University, U.K..
• Wang, Q. & Stockton, D.J. (2002). System design and optimisation of flexible machining lines. Joint International Conference of Industrial Engineering and Engineering Management, Beijing, China.
• Baguley, P., Wang, Q. & Stockton, D.J. (2000). Applied advanced cost estimating technology for manufacturing processes. The 17th Conference of the Irish Manufactiuring Committee, Galway, Ireland.
• Wang, Q. & Stockton, D.J. (2000). Using neural networks in cost model development process. The sixteen National Conference on Manufacturing Research, University of East London, U.K..
• Stockton, D.J. & Wang, Q. (1999). Applying advanced modelling techniques to cost estimating. Proceedings of Association of Cost Engineers, De Montfort University, U.K..
• Wang, Q. & Stockton, D.J. (1999). Process time estimating using neural networks. The 15th International Conference in Computer-aided Production Engineering, Durham University, U.K..

Journal papers: academic

• Ansbro, D. & Wang, Q. (2013). A facility location model for socio-environmentally responsible decision-making. Journal of Remanufacturing 3(1): 5.
• Wang, Q. Zissler, N. & Holden, R. (2013). Evaluate error sources and uncertainty in large scale measurement systems. Robotics and Computer-Integrated Manufacturing 29(1): 1-11.
• Xu, Y., Elgh,F., Erkoyuncu, J. A., Bankole, O. Goh, Y., Cheung, W. M. Baguley, P., Wang, Q., Arundachawat, P., Shehab, E., Newnes, L. & Roy, R. (2012). Cost Engineering for Manufacturing: Current and Future Research. International Journal of Computer Integrated Manufacturing 25(4-5): 300-314.
• Pita, J. F. & Wang, Q. (2010). A simulation approach to facilitate manufacturing system design. International Journal of Simulation Modelling 9(3): 152-164.
• Wang, Q. & Ingham, N. (2008). A discrete event modelling approach for supply chain simulation. International Journal of Simulation Modelling 7(3): 124-134.
• Massey, T. & Wang, Q. (2008). The development of a discrete-event simulation model to aid the design of complex manufacturing systems. Engineering Letters 6(1): 20, 131-140.
• Wang, Q. (2007). Artificial neural networks as cost engineering methods in a collaborative manufacturing environment. International Journal of Production Economics 109(1-2): 53-64.
• Woy, U. & Wang, Q. (2007). Developing sustainable new product development procedures in SMEs utilising available techniques. International Journal of Agile Manufacturing 10(2): 53-62.
• Wang, Q. & Scott, A. (2007). Development of a Metal Selector System. International Journal of Advanced Manufacturing Technology 32(9-10): 843-855.
• Wang, Q. & Potter, N (2007). Incorporating life cycle costing in early product design. International Journal of Advanced Manufacturing Systems 10(1): 33-40.
• Stockton, D. J. & Wang, Q. (2004). Developing cost models by advanced modelling technology. Proceedings of the I MECH E part B journal of engineering manufacture 218(2): 213-224.
• Wang, Q. & Stockton, D. J. (2003). Artificial neural networks for improving the cost model development process. International journal for manufacturing science & production 5(1-2): 91-94.
• Wang, Q. & Stockton, D. J. (2001). Cost model development using artificial neural networks. Aircraft engineering and aerospace technology 73(6): 536-541.
• Wang, Q. & Stockton, D.J. (2000). Process cost modelling using neural networks. International Journal of Production Research 38(16): 3811-3821.

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Supervises

• Mr Hang Dai