Wayne Holland

Senior Lecturer in Operations Research at Bayes Business School

Schools

  • Bayes Business School

Expertise

Links

Biography

Bayes Business School

Wayne Holland joined Cass Business School in 2002. After completing a PhD in queueing analysis applied to the transportation sector in 1991, Wayne has held a number of academic posts. From 1991-95, he was a Research Associate in Operational Research in the School of Mathematics at the University of Wales, Cardiff. Then in 1995 he took up the position of Lecturer in Operational Research at the University of Kent at Canterbury in the Canterbury Business School. In 2000, Wayne joined the European Business School as Subject Leader in Quantitative Business Analysis and also held the post of Research Coordinator. It was from the EBS that he joined Cass.

From 2003 to 2006, Wayne was Director of the Full-Time MBA. In 2010, he was appointed Director of BSc Business Studies in which position he led a successful review and updating of the curriculum. In 2011, he was appointed Associate Dean Education (Teaching and Learning) for Cass. Since 2014, Wayne has been Director of the Full-Time MBA.

Wayne is a Senior Fellow of the Higher Education Academy and the Operational Research Society.

Qualifications

BSc (Cardiff) and PhD (Cardiff).

Memberships of Professional Organisations

  • Member, Operational Research Society, Sep 2007 – present
  • Corporate Member, Chartered Management Institute, Aug 2002 – present
  • Fellow, Higher Education Academy, Jan 2001 – present

Expertise

Primary Topics

  • Risk Management
  • Mathematical & Quantitative Methods
  • Simulation Methods
  • Management ScienceRisk
  • Supply Chain Management
  • Operations Research
  • Operations Management
  • Statistics
  • Risk Modelling

Additional Topics

  • Banking
  • Financial Risk & Risk Management
  • Portfolio Choice

Industries/Professions

  • health care
  • retailing
  • transportation

Geographic Areas

Europe

Research

Research has focussed on:

(1) quantitative modelling of healthcare problems (2) operational risk in supply chains

Research Topics

Development of a Symbolic Attitudinal Measurement Device (with Prof. Clif Oswick)

To test the robustness and reliability of a new attitudinal scale and to facilitate the development of a commercially-oriented software version of the instrument.

The Horsemeat Scandal: The role of regulation in long, international supply chains (with Prof. Mohan Sodhi).

Managing Risk of Overrun in Theatre Time in Surgical Scheduling (with Dr Canan Kocabasoglu-Hillmer)

The problem of balancing the impact of overrun of surgical theatre time with underutilisation is traditionally viewed as a cost optimisation problem. We structure the problem as a decision making problem by providing a tool for management to choose what risk of time overrun it is willing to tolerate and to see the consequences in terms of underutilised theatre time.

Directly Accessing Escalated Service in Two-Stage Queues: The Case of Geriatric Patients Access Specialists in A&E (with Prof. Mohan Sodhi)

We look at under what circumstances would it make sense for an A&E unit to provide upfront access to speciailist care for geriatric patients.

Chapters (3)

  • Sodhi, M. and Holland, W. (2008). A Simple Method for Regulators to Cross-Check Operational Risk Loss Models for Banks. In Christodoulakis, G. and Satchell, S. (Eds.), The Analytics of Risk Model Validation (pp. 79–90). Amsterdam ; Boston: Elsevier/Academic Press. ISBN 978-0-7506-8158-2.
  • Cheng, R.C.H., Holland, W. and Hughes, N.A. (1996). Selection of Input Models Using Bootstrap Goodness-of-Fit. In Charnes, J.M., Morrice, D.J., Brunner, D.T. and Swain, J.J. (Eds.), Proceedings of the 28th conference on Winter simulation, WSC 1996, Coronado, CA, USA, December 8-11, 1996 (pp. 199–206). IEEE Computer Society ISBN 0-7803-3383-7.
  • Holland, W., Griffiths, J.D. and Williams, J.E. (1992). The Gatwick Rapid Transit Systems. Proceedings of 2nd IMA Conference on Mathematics in Transport Planning and Control (pp. 217–231). Oxford University Press. ISBN 0-19-853650-X.

Journal Articles (14)

  • Sodhi, M., Kocabasoglu, C., Holland, W. and Chung, D. (2016). A measure for surgeons' comparative risk taking. .
  • Holland, W. and Salama, A. (2010). Organisational learning through international M&A integration strategies. Learning Organization, 17(3), pp. 268–283. doi:10.1108/09696471011034946.
  • Sodhi, M. and Holland, W. (2009). A loss distribution model for operational risk derived from pooled bank losses. Journal of Financial Transformation, 25, pp. 155–160.
  • Holland, W. (2007). Software Review: Minitab 15. ORMS Today, 34(4), pp. 50–57.
  • Holland, W. (2007). Software Review: JMP 6.0.3. ORMS Today, 34(1), pp. 66–72.
  • Holland, W. (2005). Software Review: Crystal Ball v7.0.1 Professional. ORMS Today, 32(2), pp. 54–57.
  • Cheng, R.C.H. and Holland, W. (2004). Calculation of confidence intervals for simulation output. ACM Transactions on Modeling and Computer Simulation, 14(4), pp. 344–362. doi:10.1145/1029174.1029176.
  • Holland, W. and Sodhi, M. (2004). Quantifying the effect of batch size and order errors on the bullwhip effect using simulation. International Journal of Logistics, 7(3), pp. 251–261. doi:10.1080/13675560412331298518.
  • Holland, W. and Sodhi, M. (2003). Software Review: Gauss 5.0. ORMS Today, 30(5), pp. 44–48.
  • Holland, W. (2003). Software Review: @RISK Professional 4.5.2. ORMS Today, 30(1), pp. 52–55.
  • Holland, W., Salama, A. and Vinten, G. (2003). Challenges and opportunities in mergers and acquisitions: three international case studies - Deutsche Bank-Bankers Trust; British Petroleum-Amoco; Ford-Volvo. Journal of European Industrial Training, 27, pp. 313–321.
  • Holland, W. (1999). A time-dependent approximation for the queue M/M(1,s)/c. IMA Journal of Management Mathematics, 10(3), pp. 213–223. doi:10.1093/imaman/10.3.213.
  • Cheng, R.C.H. and Holland, W. (1998). Two-point methods for assessing variability in simulation output. Journal of Statistical Computation and Simulation, 60(3), pp. 183–205. doi:10.1080/00949659808811887.
  • Cheng, R.C.H. and Holloand, W. (1997). Sensitivity of computer simulation experiments to errors in input data. Journal of Statistical Computation and Simulation, 57(1-4), pp. 219–241. doi:10.1080/00949659708811809.

Course Directorship

  • 2003 - 2006, Full Time MBA, Director
  • 2010 - 2011, BSc Business Studies, Director
  • 2011 - present, Teaching and Learning, Associate Dean

Subject/Academic Leadership

  • 2002 - 2003, QM, Subject Leader
  • 2006 - 2007, OM & QM, Subject Leader
  • 2009-2010, OM, Subject Leader

Editorial Activities (3)

Production and Operations Management, Referee, 2014 – present. E-Journal of Business Research Methods, Referee, 2009 – present. Journal of Applied Mathematics and Decision Sciences, Referee, 2009 – present.

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