• 1621 Citations
  • 20 h-Index
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Personal profile


I am a Professor in the Faculty of Engineering and Computing, the Faculty Research Degree leader and a member of CTAC – Control Theory and Applications Centre. My main research work has been in the area of modelling and treatment of uncertainty by employing fuzzy-logic based reasoning and optimisation in various domains such as supply chain management and control, inventory control, reverse logistics, production scheduling and forecasting.

I was the principal investigator on three EPSRC-funded projects in the areas of decision-support for supply chain management, production scheduling and scheduling in health care. I was a co-investigator of an FP7 grant on supporting adaptive network enterprise collaboration. Currently, I am a principal investigator of an EPSRC-funded project in the area of modelling resilient and robust manufacturing supply networks and a co-investigator on an FP7 grant on flexible dynamic production networks. I have been working on two projects funded by DSTL/MOD in the area of development of an intelligent guidance system for unmanned vehicles and modelling of military capabilities.

I have published over 110 papers, among which over 30 in reviewed scientific journals. I have been an Associate Editor of International Journal of Systems Sciences and IMA Journal of Management Mathematics and I am a member of the EPSRC Peer Review College.


Vision Statement

I have been doing research which combines the Operational Research and Artificial Intelligence research areas. I have been developing new methods for uncertainty modelling, using fuzzy sets and fuzzy logic, and methods for optimisation in the presence of uncertainty and have applied them in various domains, such as supply chain management and control, scheduling and covering problems. In the future, I plan to develop an interdisciplinary, system-based framework for improving sustainability in supply chain performances in the presence of various risks and uncertainties. Multi-criteria optimization methods will be developed to handle three aspects of sustainability simultaneously including social, economic and environmental aspects.

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Associate Editor of:

  • International Journal of Systems Science, Taylor & Francis
  • International Journal of Systems Science: Operations & Logistics, Taylor & Francis

  • Associate Editor of IMA Journal of Management Mathematics, Oxford Press

Member of COPIOR - Committee of Professors of Operational Research, 2018 - present

Education/Academic qualification

Computer Science, MSc, University of Belgrade

… → 1 Jun 1991

Engineering, Doctorate, University of Warwick

1 Nov 19941 Jun 1998

Computer Science, Degree, University of Belgrade

1 Oct 19821 Nov 1986


  • QA75 Electronic computers. Computer science
  • Q Science (General)

Fingerprint Dive into the research topics where Dobrila Petrovic is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Fuzzy logic Engineering & Materials Science
Fuzzy sets Engineering & Materials Science
Scheduling Engineering & Materials Science
Supply chains Engineering & Materials Science
Inventory control Engineering & Materials Science
Logistics Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Linguistics Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1994 2019

A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry

Djordjevic, I., Petrovic, D. & Stojic, G., Sep 2019, In : Computers in Industry. 110, p. 48-63 16 p.

Research output: Contribution to journalArticle

Automotive industry
Linear programming
Fuzzy sets
Multiobjective optimization

A new fuzzy linear programming model for aggregate production planning for a supplier in the automotive industry

Djordjevic, I. & Petrovic, D., 7 Jul 2018, p. 99. 1 p.

Research output: Contribution to conferenceAbstract

Automotive industry
Linear programming
Membership functions
4 Citations (Scopus)
32 Downloads (Pure)

An ontology supported risk assessment approach for the intelligent configuration of supply networks

Palmer, C., Urwin, E. N., Niknejad, A., Petrovic, D., Popplewell, K. & Young, R. I. M., Jun 2018, In : Journal of Intelligent Manufacturing. 29, 5, p. 1005 1030 p.

Research output: Contribution to journalArticle

Open Access
Risk assessment
Information systems
Complex networks

Autonomous Vehicle Simulation Model to Assess Potential Collisions to Reduce Severity of Impacts

Gilbert, A., Petrovic, D., Warwick, K. & Serghi, V., 16 Mar 2018, 4th International Conference on Vehicle Technology and Intelligent Transport Systems. Helfert, M. & Gusikhin, O. (eds.). SciTePress, p. 243-250 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Kinetic energy
Numerical methods
Control systems

Activities 1992 2019

Examiner of a research proposal

Dobrila Petrovic (Examiner)
Apr 2019

Activity: Examination

29th European Conference on Operational Research

Dobrila Petrovic (Speaker)
8 Jul 201811 Jul 2018

Activity: Participating in or organising an eventParticipation in conference

Examiner of a research proposal

Dobrila Petrovic (Examiner)
Jun 2018

Activity: Examination

A fuzzy controller for determining return routes in reverse logistics networks,

Dobrila Petrovic (Speaker)
19 Sep 2018

Activity: Talk or presentationInvited talk

Internal Examiner at Coventry University

Dobrila Petrovic (Examiner)
Oct 2018

Activity: Examination


Decision Making on Mitigating a Possible Collision of an Autonomous Vehicle on a Motorway

Author: Gilbert, A., 26 Mar 2019

Supervisor: Petrovic, D. (Supervisor), Warwick, K. (Supervisor) & Pickering, J. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy