Dr Andrew Simpson
Director of Accreditation and MBA
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Biography
Andrew has a PhD in Statistics (University of Newcastle upon Tyne), MBA with Distinction (University of Newcastle upon Tyne) and B.A. (Hons) Management Science with Computing (Univeristy of Kent at Canterbury).
Andrew joined the Management School in June 2013, prior to this he was at Newcastle University Business School, for nearly 12 years, where he served as MBA Director, Director of Executive Education and Subject Group Head Operations Management.
Prior to joining academia Andrew worked in a number of commercial roles, mainly as a business turn around consultant in the SME sector.
Andrew is an external examiner of the MBA programme at Manchester Metropolitan University and has previously held that role at Brunel University. I am a reviewer for The International Journal of production Economics and European Journal of Operational Research.
Andrew is also an experienced AMBA assessor and has been an external panel member of a MBA programme re-validation.
Teaching
At Sheffield University Management School I will be teaching MGT6115 Management Consultancy on the MBA, this will draw on his previous commercial experience.
At Newcastle University Business School I taught Management Consultancy to the MBA and Executive MBA programmes, Operations Management to both MBA and undergraduate programmes, Managing Information for MBA and Executive MBA students, Quantitative Methods for Managers to Undergraduate students and Research methods for MBA, Postgraduate and undergraduate students.
Andrew also teaches Management Consultancy to MBA students at Monash University, Melbourne.
Research
Andrew’s PhD research was on Applied Bayesian modelling. In particular the application of these techniques to financial time series and the subsequent derivation of efficient portfolios, through decision theoretic approaches.
His current research interests are wide ranging but include:
How, or indeed whether, organisations use data in decision making processes. This also includes an interest in how data / information is misused.
The application of forecasting techniques within supply chains. In particular military spare parts supply chains, where the intermittent and low volumes of demand make forecasting complicated.
Lean within public sector contexts and how this is applied and the difficulties faced when trying to implement lean solutions.
Operations Strategy and how organisations think through their operational strategic choice during product design within regulated industries, with a focus on the regenerative medicine industry.
PhD Supervision
Andrew has 2 completed PhD supervisions in the following areas:
- Exploratory study of lean techniques in support of defence equipment in the United Kingdom Ministry of Defence
- Forecasting and inventory control in the Korean Navy
In addition he has 3 doctoral students nearing completion in the following areas:
- CRM in higher education
- Enterprise Education for Vocational Education and Training Students at FECs
- Critical factors for success or failure in knowledge transfer within inter-organizational networks: a study of a network dedicated for SMEs of the Brazilian manufacturing sector
Andrew is interested in supervising students in all areas of his research interests.
Selected Publications
Murphy M, Simpson A. (2012) A Uniform Success? Implementation of Lean in the UK Public Sector. In: Seventeenth International Working Seminar on Production Economics. Innsbruck, Austria: Elsevier BV.
Wicks S, Simpson A, Hicks C. (2012) An evaluation of the success of the UK Ministry of Defence Lean Service Initiative. In: International Journal of Production Economics: 17th International Working Seminar on Production Economics, Innsbruck, Austria: Elsevier BV. In Press.
Moon S, Simpson A, Hicks C. (2013) The Development of a Classification Model for Predicting the Performance of Forecasting Methods for Naval Spare Parts Demand. International Journal of Production Economics, 143(2), pp 449 -454.
Moon S, Hicks C, Simpson A. (2012) The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy - A case study. International Journal of Production Economics, 140(2), 794-802
Ferreira P, Zdunczyk K, Simpson A. (2010) Knowing marketing: An activity theory perspective on knowledge and learning in the marketing domain. In: Organizational Learning, Knowledge and Capabilities Annual Conference, Boston, Massachusetts, USA.