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Grant: Discovery Grants Program - Individual

HEC Montréal

$73,000.00

Logistics and Transportation

EF 2020-21

Résumé
Logistics is concerned with the efficient flow of products from their points of production to their points of consumption. It encompasses several inter-related activities such as demand forecasting, inventory control, transportation and warehousing. Transportation, the most visible of these activities, is also the most important one in terms of costs: numerous studies have reported that transportation often accounts for more than 40% of total distribution costs for products. The aim of this research program is to further the study and development of mathematical models and solution algorithms for three important families of decision problems arising in logistics and transportation: i) facility location and network design, ii) vehicle routing and scheduling, and iii) transportation terminal management. The program will focus on problems of high practical relevance that either have not been studied or cannot be solved efficiently given the current state of the art. In each case, the general objectives of the program are i) to gain a better understanding of the basic structure of the problems studied, ii) to develop appropriate formulations of these problems, and iii) to design efficient algorithms capable of solving large-scale instances within short computing times. A distinguishing aspect of the program is its focus on incorporating uncertainty within decision models and on integrating problems that have traditionally been studied individually in spite of their interactions. The general methodology used in this work is that of operations research. Because of their large size, most problems are solved either by mathematical decomposition (e.g., Benders decomposition, column generation), by cutting-plane methods or by meta-heuristics (e.g., iterated local search, large neighbourhood search). The research program is motivated by real-life applications arising in both manufacturing and service industries. In addition to advancing scientific knowledge, it will benefit the Canadian economy by stimulating the development of decision-support tools that can be used by manufacturers, distributors, retailers and transportation companies.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2019-05036
Name nom
Cordeau, Jean-François
Department département
Logistics and Operations Management
Organization id
65
Institution établissement
HEC Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
73000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
1601
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations research and management science
Research subject fr
Recherche opérationnelle et science de la gestion
Installment
inst:2-5
Partie
4
Nb partie
5
Application title
Logistics and Transportation
Keyword
NSERC
Application summary
Logistics is concerned with the efficient flow of products from their points of production to their points of consumption. It encompasses several inter-related activities such as demand forecasting, inventory control, transportation and warehousing. Transportation, the most visible of these activities, is also the most important one in terms of costs: numerous studies have reported that transportation often accounts for more than 40% of total distribution costs for products. The aim of this research program is to further the study and development of mathematical models and solution algorithms for three important families of decision problems arising in logistics and transportation: i) facility location and network design, ii) vehicle routing and scheduling, and iii) transportation terminal management. The program will focus on problems of high practical relevance that either have not been studied or cannot be solved efficiently given the current state of the art. In each case, the general objectives of the program are i) to gain a better understanding of the basic structure of the problems studied, ii) to develop appropriate formulations of these problems, and iii) to design efficient algorithms capable of solving large-scale instances within short computing times. A distinguishing aspect of the program is its focus on incorporating uncertainty within decision models and on integrating problems that have traditionally been studied individually in spite of their interactions. The general methodology used in this work is that of operations research. Because of their large size, most problems are solved either by mathematical decomposition (e.g., Benders decomposition, column generation), by cutting-plane methods or by meta-heuristics (e.g., iterated local search, large neighbourhood search). The research program is motivated by real-life applications arising in both manufacturing and service industries. In addition to advancing scientific knowledge, it will benefit the Canadian economy by stimulating the development of decision-support tools that can be used by manufacturers, distributors, retailers and transportation companies.