Ramin RaeesiPhD student
My main areas of research interest include:
- Models and solution algorithms for the green vehicle routing and scheduling problem
- 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 224: Techniques for Management Decision Making – Lent term
I am currently focusing my research on the Green Vehicle Routing and Scheduling Problem (GVRSP). In my past research I mainly focused on how costs and CO2 emissions could be minimised in urban freight logistics through reducing fuel consumption and exploiting cleaner alternative fuels such as CNG, LNG, biodiesel, and electricity. However, identifying speed as one very important factor in fuel consumption (especially in an urban context), in my current research I am mainly concerned with models and solution algorithms for GVRSPs based on real-time traffic data.
Professor Konstantinos Zografos
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
Participation in conference
Transportation Research Part D: Transport and Environment