Ramin RaeesiPhD student, Associate Lecturer
My main areas of research interest include:
- Models and solution algorithms for the robust multiobjective time and load dependent emissions minimising vehicle routing and scheduling problems
- Combinatorial optimization and heuristic/meta-heuristic algorithms
- Green logistics through the the exploitation of cleaner alternative fuels
Lancaster University Management School PhD Scholarship
Teaching assistant in:
- MSCI 100: Introduction to Business Analytics – Michaelmas term
- MSCI 242 Spreadsheet Modelling for Business Analytics - Michaelmas term
- MSCI 224: Techniques for Management Decision Making – Lent term
I am currently focusing on robust multiobjective emissions minimising vehicle routing problems with multiple trips on urban road networks. Acknowledging the fact that in a time and load dependent setting determining a priori a single or a set of shortest paths between consecutive visits of the truck is not possible, I am working on new combinatorial results to facilitate the solution to the problem directly on the original roadway network. Furthermore, robust counterparts of the developed models are being investigated to cope with the inherent inaccuracy of the fuel consumption estimation model due to the lack of microscopic traffic data.
Professor Konstantinos Zografos
Modeling and Solving the Multitrip Multiobjective Pollution Routing Problem on Urban Road Networks
Raeesi, R., Zografos, K. 7/01/2018
A multi-objective time-and-load-dependent vehicle routing problem with multiple trips and flexible departure times and paths
Raeesi, R., Zografos, K. 20/04/2017
Solving the time-and-load dependent green vehicle routing and scheduling problem on real road networks
Raeesi, R., Zografos, K. 6/06/2016
A green routing problem (GRP): optimizing CO2 emissions and costs from a bi-fuel vehicle fleet
Salimifard, K., Raeesi, R. 2014 In: International Journal of Advanced Operations Management. 6, 1, p. 27-57. 31 p.
Eco-logistics: environmental and economic implications of alternative fuel vehicle routing problem
Raeesi, R., O’Sullivan, M.J. 2014 In: International Journal of Business Performance and Supply Chain Modelling. 6, 3-4, p. 276–297. 22 p.
Understanding the interactions among the barriers to entrepreneurship using interpretive structural modeling
Raeesi, R., Dastranj, M., Mohammadi, S., Rasuli, E. 17/06/2013 In: International Journal of Business and Management. 8, 13, p. 56-72. 17 p.
Developing a grey activity based costing method (G-ABC) to capture the inherent uncertainty in identifying cost drivers’ consumption rates
Raeesi, R., Amini, A. 2013 In: Academy of Accounting and Financial Studies Journal. 17, 2, p. 41-56. 16 p.
Green transportation and the role of operations research
Salimifard, K., Shahbandarzadeh, H., Raeesi, R. 2012
Using a modified extension of mixed fuzzy and crisp axiomatic design method in vendor selection for supply chain: (In Persian)
Shahbandarzadeh, H., Jafarnejad, A., Raeesi, R. 2012 In: Journal of Industrial Management. 7, 3, p. 37-54.
The Time-and-Load-Dependent Steiner Pollution Routing Problem
Public Lecture/ Debate/Seminar
Participation in conference
Transportation Research Part D: Transport and Environment (Journal)
- Centre for Transportation Systems & Logistics (CENTRAL)
- Transport and Logistics