Dr Wolfgang Garn
Lecturer in Operations Management
Qualifications: PhD, MSc, BSc (Hons)
Email: w.garn@surrey.ac.uk
Phone: Work: 01483 68 2005
Room no: 54 AP 02
Office hours
Monday:12:30-14:00
Thursday:12:30-14:00
Please feel welcome to drop in anytime during these hours. If you prefer different times, please feel free to send me an email to arrange an appointment.
No office hours on 25/2/2013.
Further information
Biography
Formerly a Management Scientist at Telekom Austria in the Department of Operations Research. His duties entailed Network Optimisations, Transportation, Market Analysis amongst others. At the Defence Technology Centre (DTC) he worked on Agent and Decision Support Systems for MoD funded research. His role as Senior Scientist and Project Manager for Eurobios involved him with key clients such as Serco, Biffa, Unilever, DHL and BP. He earned his PhD in Simulation and Optimisation of Telecommunication processes at the Vienna University of Technology.
Research Interests
- Business analytics; business optimisation and economics
- Logistics, transportation, traffic flows, routing, scheduling
- Management science, combinatorial optimisations, network flows, meta heuristics, e.g. genetic algorithms, simulated annealing
- Applied mathematics, Artificial Intelligence, discrete event simulation, queueing systems
- Kernel Densitiy Estimators, decision support systems, Bayesian networks, statistical learning
Some of my favourite tools
- Mathworks - Matlab
- R, SPSS
- Java, PHP, C++
- Postgres
- ILOG - OPL Studio
- Anylogic, Taylor ED
Publications
Louvieris, P., Gregoriades, A. and W. Garn, Assessing Critical Success Factors for Military Decision Support, Expert Systems with Applications, Volume 37 Issue 12, December, 2010
van der Heijden, H. and Garn, W., Profitability in the car industry: new measures for estimating targets and target directions, European Journal of Operational Research - submitted, 2011; accepted for publication Sept 2012; Volume 225, Issue 3, 16 March 2013, Pages 420–428
Louvieris, P. and Garn W.,Novel conditional probability generation methods for high reliability effects-based decision making, Decision Support Systems - submitted, 2012
Garn W., Predictive Power Decisions with Generated Conditional Probabilities, INFORMS, Beijing, 2012
Garn, W., Simulation and optimisation of processes in telecommunication, Vienna University of Technology, Austria, 2005
Garn, W., A Real-World S-MD-mVRP-TW, International conference of the German Operations Research Society, Heidelberg, Germany, 2003
Books
Garn, W., Issues in Operations Management, Pearson, ISBN: 978-0-85776-027-2, 2010
Garn, W., Information Systems Development - in preparation
Contribution to Book
T. Jones, Artificial Intelligence - A Systems Approach, Infinitiy Science Press, ISBN: 978-0-9778582-3-1, 2008
Software
Garn, W., Chess with "Greedy Edi"
07 Nov 2009. Version: 15-10-2010. Matlab-Central, http://www.mathworks.com/
Teaching
- Business Analytics (Autumn 2013)
- Big Data drives Big Decisions! Business Analytics arms you with the expertise in analysing data and creating knowledge - leading to competitive advantages for business-decisions. It equips you with state-of-the art and new emerging skills to solve business transforming challenges. General enquiries: pg-enquiries@surrey.ac.uk, programme enquiries: w.garn@surrey.ac.uk
- Introduction to Management Science (UL2) – Semester 1 (Autumn 2012)
- Methods and tools are used to tackle challenges occurring in the business and industrial environment. The obtained results are used for qualified decision making.
- Module catalogue (MAN2093)
- Lecture - every Thursday 11am-1pm (Location: TB18, 4/10/2012-13/12/2012)
- Computer lab - every Thursday 4pm-5pm, 5pm-6pm (Location: 63AP02, 4/10/2012-13/12/2012)
- Information Systems Development (PG) – Semester 2 (2012)
- A hands-on approach to the development of Information Systems - using practical State-of-the-Art methods, tools and techniques.
- Module catalogue (MAN114)
- Issues in Operations Management (UL2) – Semester 1 (2010/2011)
- This lecture explores a set of critical areas in Operations Management in depth using a Management Science approach.
- Module catalogue (MAN2086)
- Project Management & Computer Lab. (PG, UG) – Semester 2 (2012)
- A practical approach to managing projects (using MS Project)
- Module catalogue: (MAN3104-UG), (MANM020-PG)
- Business Research Project (UG-L3) – Semester 2 (2013)
- To analyse and critically evaluate existing work in order to deliver value to businesses.
- Module catalogue
- Business Process Management (PG) – Semester 2 (2013)
- Shows the relationship between operations management and information systems, with hands-on experience in SAP.
- Module catalogue
Departmental Duties
Duties for Surrey Business School - International Business and Sustainable Systems
Teaching
- Business Analytics (2013/2014) - Programme Director
- Introduction to Management Science (2012/2013) - module convenor
- Information Systems Development (-2012)- module convenor
- Issues in Operations Management (-2010)- module convenor
- Business Research Project (2012, 2013) - module convenor and coordinator
- Business Process Management (2013) - shared convenor
- Project Management (2012)
Other duties
- PhD Liaison officer (More information for PhD applicants, Potential PhD supervisors)
- PhD and DBA supervision
- Web Manager
Reviewer for the ...
- European Journal of Operational Research
- Neurocomputing journal
Affiliations
• AIS – Association for Information Systems
• ARGESIM - Working Group Simulation News
• EUROSIM - Federation of European Simulation Societies
• FITCE - Federation of Telecommunications Engineers of the European Community
• INFORMS - Institute for Operations Research and the Management Sciences
• ÖGOR - Austrian Society of Operations Research
PhD
I am looking for people interested in obtaining a full-time PhD. Candidates should have a strong quantitative background; experience in computer science and interest in Management Science (Operational Research).
Opportunities:
- Business analytical/intelligence
- Management science
- Simulation
- Optimal urban traffic flow
- Operational research
- Networks and artificial & computational intelligence