Bin Packing for Capacity Planning in Freight Transportation
Prof. Teodor Gabriel Crainic
Université du Québec, Montréal
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 5th, 2023
12.00 pm
Contacts:
Ola Jabali
Research Line:
Operations research and discrete optimization
Université du Québec, Montréal
DEIB - Seminar Room "N. Schiavoni" (Bld. 20)
May 5th, 2023
12.00 pm
Contacts:
Ola Jabali
Research Line:
Operations research and discrete optimization
Sommario
On May 5th, 2023 at 12.00 pm Teodor Gabriel Crainic, Professor at Université du Québec à Montréal, will give a seminar on "Bin Packing for Capacity Planning in Freight Transportation" in DEIB Seminar Room.
In a very general sense, Capacity Planning (CP) means determining the level of "production" to meet forecast demand, together with the resources required to efficiently achieve this production. In this talk, we focus on consolidation-based freight transportation and logistics firms and the issue of efficiently and profitably securing / providing the required capacity and services to meet the requirements of their regular demand over a short-medium time horizon. Bin Packing appears as an interesting methodological approach to address these issues requiring, however, to explicitly address additional attributes, e.g., uncertainty and time dependency. We present some of our recent, and current, work in this field, discussing issues, problem settings, modelling, and solution methods. We conclude with a number of research perspectives and challenges related, in particular, to network optimization and service network design.
In a very general sense, Capacity Planning (CP) means determining the level of "production" to meet forecast demand, together with the resources required to efficiently achieve this production. In this talk, we focus on consolidation-based freight transportation and logistics firms and the issue of efficiently and profitably securing / providing the required capacity and services to meet the requirements of their regular demand over a short-medium time horizon. Bin Packing appears as an interesting methodological approach to address these issues requiring, however, to explicitly address additional attributes, e.g., uncertainty and time dependency. We present some of our recent, and current, work in this field, discussing issues, problem settings, modelling, and solution methods. We conclude with a number of research perspectives and challenges related, in particular, to network optimization and service network design.
Biografia
Teodor Gabriel Crainic is Full Professor of Operations Research, Transportation, and Logistics, and holds the Chair on Intelligent Logistics and Transportation Systems Planning in the School of Management, Université du Québec à Montréal. He is also Adjunct Professor, Department of Computer Science and Operations Research, Université de Montréal, and senior scientist at CIRRELT, the Interuniversity Research Center for Enterprise Networks, Logistics and Transportation, where he is Director of the Intelligent Transportation Systems Laboratory.
The research interests of Professor Crainic are in network, integer, and combinatorial optimization, meta-heuristics, and parallel computing applied to the planning and management of complex systems, particularly in transportation and logistics. Major contributions targeted the design, scheduling and management of consolidation-based carrier services, including uncertainty, resource and revenue management considerations, as well as routing and scheduling, Intelligent Transportation Systems, City Logistics, new business and organizational transportation and logistics models, regional planning of multimodal freight transportation systems, and combinatorial electronic markets.
The research interests of Professor Crainic are in network, integer, and combinatorial optimization, meta-heuristics, and parallel computing applied to the planning and management of complex systems, particularly in transportation and logistics. Major contributions targeted the design, scheduling and management of consolidation-based carrier services, including uncertainty, resource and revenue management considerations, as well as routing and scheduling, Intelligent Transportation Systems, City Logistics, new business and organizational transportation and logistics models, regional planning of multimodal freight transportation systems, and combinatorial electronic markets.
