Dr Dimitris Paraskevopoulos
Reader in Operations and Supply Chain Management
Contact
- +44 (0)20 7040 5259
- dimitris.paraskevopoulos@city.ac.uk
Visit Dimitris Paraskevopoulos
Room BR6013, Bunhill Row
Postal address
106 Bunhill Row
London
EC1Y 8TZ
United Kingdom
About
Overview
Dimitris is a Reader in Operations and Supply Chain Management and Course Director for the Full time MBA at Bayes. Before joining Bayes, Dimitris was a Senior Lecturer at the School of Management of the University of Bath, and prior to that he worked as a research fellow in a railway optimisation EPSRC project at the University Southampton. Dimitris is a Chemical Engineer from the National Technical University of Athens and holds an MBA and a PhD in Operational Research from the Athens University of Economics and Business, Greece.
Dimitris’ research is on the design, development and application of operations research methods for solving complex combinatorial optimisation problems that arise in the fields of Manufacturing and Service Operations Management and Transportation and Distribution Logistics. In particular, his main focus is on the development of mathematical models and computationally efficient methods to solve project and production scheduling, timetabling, vehicle routing, location, network design and districting problems. He has worked in numerous research projects for the development of optimisation-based decision support systems and his research has been internationally awarded and published in Production and Operations Management, European Journal of Operational Research, Transportation Research Part E, and Journal of Heuristics among others.
Dimitris is also an award-winning teacher. He currently teaches Business Analytics and Machine Learning for all MBA programmes at Bayes, including Executive Education. His teaching portfolio also includes Operations and Supply Chain Management in undergrad and postgrad level. Dimitris’ innovative teaching secured him several awards the last consecutive years, including a nomination for the Mary Tasker Award, and the opportunity to attend the International Teachers Programme in China 2015-2016 at CEIBS. ITP is the leading management faculty development programme in the world and offers the cutting edge of higher education methodologies. Dimitris shared his passion for programme design and leadership by serving as the Course Director for the MSc in Operations, Logistics and Supply Chain Management at the University of Bath, and for the MSc in Global Supply Chain Management at Bayes.
Fellowships
- Fellow, Higher Education Academy, Apr 2015 – present
Expertise
Primary topics
- Logistics & Distribution
- Management Science
- Operations Research
- Transportation
Additional topics
- Decision Theory
- Mathematical & Quantitative Methods
- Production & Operations Management
Publications
Conference papers and proceedings (2)
- Armstrong, J., Preston, J., Potts, C., Bektas, T. and Paraskevopoulos, D. (2015). Addressing nodal constraints on railway capacity.
- Repoussis, P.P., Paraskevopoulos, D.C., Tarantilis, C.D. and Ioannou, G. (2006). A Reactive Greedy Randomized Variable Neighborhood Tabu Search for the Vehicle Routing Problem with Time Windows. doi:10.1007/11890584_10
Journal articles (11)
- Kasapidis, G.A., Dauzère‐Pérès, S., Paraskevopoulos, D.C., Repoussis, P.P. and Tarantilis, C.D. (2023). On the multiresource flexible job‐shop scheduling problem with arbitrary precedence graphs. Production and Operations Management, 32(7), pp. 2322–2330. doi:10.1111/poms.13977.
- Kasapidis, G.A., Paraskevopoulos, D.C., Repoussis, P.P. and Tarantilis, C.D. (2021). Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs. Production and Operations Management, 30(11), pp. 4044–4068. doi:10.1111/poms.13501.
- Paraskevopoulos, D.C., Laporte, G., Repoussis, P.P. and Tarantilis, C.D. (2017). Resource constrained routing and scheduling: Review and research prospects. European Journal of Operational Research, 263(3), pp. 737–754. doi:10.1016/j.ejor.2017.05.035.
- Armstrong, J., Preston, J., Potts, C., Bektas, T. and Paraskevopoulos, D. (2017). Addressing nodal constraints on the capacity of railways. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 231(5), pp. 637–646. doi:10.1177/0954409717706271.
- Repoussis, P.P., Paraskevopoulos, D.C., Vazacopoulos, A. and Hupert, N. (2016). Optimizing emergency preparedness and resource utilization in mass-casualty incidents. European Journal of Operational Research, 255(2), pp. 531–544. doi:10.1016/j.ejor.2016.05.047.
- Paraskevopoulos, D.C., Bektaş, T., Crainic, T.G. and Potts, C.N. (2016). A cycle-based evolutionary algorithm for the fixed-charge capacitated multi-commodity network design problem. European Journal of Operational Research, 253(2), pp. 265–279. doi:10.1016/j.ejor.2015.12.051.
- Paraskevopoulos, D.C., Tarantilis, C.D. and Ioannou, G. (2016). An adaptive memory programming framework for the resource-constrained project scheduling problem. International Journal of Production Research, 54(16), pp. 4938–4956. doi:10.1080/00207543.2016.1145814.
- Paraskevopoulos, D.C., Gürel, S. and Bektaş, T. (2016). The congested multicommodity network design problem. Transportation Research Part E: Logistics and Transportation Review, 85, pp. 166–187. doi:10.1016/j.tre.2015.10.007.
- Paraskevopoulos, D.C., Tarantilis, C.D. and Ioannou, G. (2012). Solving project scheduling problems with resource constraints via an event list-based evolutionary algorithm. Expert Systems with Applications, 39(4), pp. 3983–3994. doi:10.1016/j.eswa.2011.09.062.
- Repoussis, P.P., Paraskevopoulos, D.C., Zobolas, G., Tarantilis, C.D. and Ioannou, G. (2009). A web-based decision support system for waste lube oils collection and recycling. European Journal of Operational Research, 195(3), pp. 676–700. doi:10.1016/j.ejor.2007.11.004.
- Paraskevopoulos, D.C., Repoussis, P.P., Tarantilis, C.D., Ioannou, G. and Prastacos, G.P. (2008). A reactive variable neighborhood tabu search for the heterogeneous fleet vehicle routing problem with time windows. Journal of Heuristics, 14(5), pp. 425–455. doi:10.1007/s10732-007-9045-z.