Grant: Applied Research and Development Grants - Level 1
Algonquin College of Applied Arts and Technology
$25,000.00
E-commerce Distribution Network Capacity Planning and Supply Chain Modelling
EF 2020-21
Résumé
Carriers constantly face the challenge of allocating capacity for Less-Than-Truckload (LTL) and parcel deliveries in their transportation network. The challenge stems from the fact that standards for weight limits and pricing schemes that are dependent on volume density, dimensions, and handling keep changing, and this in turn has an impact on profitability.
LTL loads are usually several pallet loads of goods that do not fill up a truck, whereas parcels are individual packages or parcels that are not palletized, and take up significantly less space on a truck when compared to LTL's. Furthermore, parcels are usually loaded on smaller trucks in order to do the last mile delivery to the end customer. The volume of the parcel business has increased dramatically over the years thanks to e-retailing. In 2018, 87 billion parcels were shipped globally, and in 2025, the volume is estimated to be 200 billion.
Given the differences in handling LTL loads from parcels, it is typical for carriers to use a dedicated fleet for each type of service. Unfortunately, this means that trucks will not be fully utilized, and the cost of transportation will increase. Typically, transportation costs represent 65% of the total logistics costs, and it is imperative that every effort is made to reduce this cost as much as possible.
The research aims to develop a decision-making model for carriers to support operations, tactical, and strategic decisions regarding capacity allocation and revenue management. That is, given a fixed transportation capacity, how should a carrier optimally allocate LTL and parcel loads in order to maximize the utilization of the trucks and reduce their costs. The research will look into the feasibility of mixing LTL and parcels loads in a single truck.
_x000d_Les transporteurs sont constamment confrontés au défi d'allouer les capacités pour les chargements partiels (LTL) et les livraisons de colis dans leurs réseaux de transport. Ce défi est dû au fait que les normes relatives aux limites de poids et les syst
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Other
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
552982-2020
Name nom
Teymouri, Ahmad
Department département
Head Office
Organization id
2324
Institution établissement
Algonquin College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
1600
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Industrial engineering
Research subject fr
Génie industriel
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
E-commerce Distribution Network Capacity Planning and Supply Chain Modelling
Keyword
NSERC
Application summary
Carriers constantly face the challenge of allocating capacity for Less-Than-Truckload (LTL) and parcel deliveries in their transportation network. The challenge stems from the fact that standards for weight limits and pricing schemes that are dependent on volume density, dimensions, and handling keep changing, and this in turn has an impact on profitability.
LTL loads are usually several pallet loads of goods that do not fill up a truck, whereas parcels are individual packages or parcels that are not palletized, and take up significantly less space on a truck when compared to LTL's. Furthermore, parcels are usually loaded on smaller trucks in order to do the last mile delivery to the end customer. The volume of the parcel business has increased dramatically over the years thanks to e-retailing. In 2018, 87 billion parcels were shipped globally, and in 2025, the volume is estimated to be 200 billion.
Given the differences in handling LTL loads from parcels, it is typical for carriers to use a dedicated fleet for each type of service. Unfortunately, this means that trucks will not be fully utilized, and the cost of transportation will increase. Typically, transportation costs represent 65% of the total logistics costs, and it is imperative that every effort is made to reduce this cost as much as possible.
The research aims to develop a decision-making model for carriers to support operations, tactical, and strategic decisions regarding capacity allocation and revenue management. That is, given a fixed transportation capacity, how should a carrier optimally allocate LTL and parcel loads in order to maximize the utilization of the trucks and reduce their costs. The research will look into the feasibility of mixing LTL and parcels loads in a single truck.
_x000d_Les transporteurs sont constamment confrontés au défi d'allouer les capacités pour les chargements partiels (LTL) et les livraisons de colis dans leurs réseaux de transport. Ce défi est dû au fait que les normes relatives aux limites de poids et les syst