Grant: Discovery Grants Program - Individual
HEC Montréal
$27,000.00
Design and management of smart last-mile delivery systems
FY 2023-24
Summary
E-commerce is thriving and delivery is becoming the key component of the product offering. The boom in sales has led to an unprecedented volume of goods being shipped every day. Last-mile delivery constitutes the final stage in the delivery process when a product is transported and delivered to a customer and it can comprise up to 41% of the total cost to move goods. Today, the advancements in technologies are rapid, commercialization of ideas is generally fast, and their impacts are more pronounced than ever. Such technologies that significantly alter the operations and business models are called 'disruptive technologies'. Several novel technologies and business models have emerged in last-mile delivery to address the increasing demand such as crowdshipping, electric vehicles, use of drones, autonomous delivery robots, and parcel lockers. Each of these technologies has its own peculiarities that require careful treatment in order to understand and measure the societal benefits. To this end, the long-term objective of this research program is to investigate the impacts of disruptive technologies in last-mile delivery systems on the businesses, households, and governments through mathematical modeling and data science. The vision of the program is to guide decision makers to proactively act on technological advances to reinforce positive impacts and mitigate their adverse effects. To achieve this overarching goal, various business models will be investigated to improve the current operational practices and to alleviate their societal and environmental adverse impacts. In particular, the short-term objectives of the research program include investigating (1) crowdattendance as a new form of crowdsourcing in last-mile delivery, (2) ultrafast last-mile delivery in the context of 15-minute city, (3) freight mode of public transportation in urban areas, (4) use of autonomous vehicles in last-mile delivery, and (5) alternative fuel technologies on urban city centers.
Program
Discovery Grants Program - Individual
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2022-04979
Name nom
Arslan, Okan
Department département
Department of Decision Sciences
Organization id
65
Institution établissement
HEC Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
27000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR 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
1603
Research subject group en
Industrial engineering
Research subject group fr
Logistics
Research subject en
Génie industriel
Research subject fr
Logistique
Application title
Design and management of smart last-mile delivery systems
Keyword
Crowdsourcing; Data science; Decomposition techniques; Disruptive technologies; Distribution management; Integer programming; Network design; Operations research; Prescriptive models; Transportation
Application summary
E-commerce is thriving and delivery is becoming the key component of the product offering. The boom in sales has led to an unprecedented volume of goods being shipped every day. Last-mile delivery constitutes the final stage in the delivery process when a product is transported and delivered to a customer and it can comprise up to 41% of the total cost to move goods. Today, the advancements in technologies are rapid, commercialization of ideas is generally fast, and their impacts are more pronounced than ever. Such technologies that significantly alter the operations and business models are called 'disruptive technologies'. Several novel technologies and business models have emerged in last-mile delivery to address the increasing demand such as crowdshipping, electric vehicles, use of drones, autonomous delivery robots, and parcel lockers. Each of these technologies has its own peculiarities that require careful treatment in order to understand and measure the societal benefits. To this end, the long-term objective of this research program is to investigate the impacts of disruptive technologies in last-mile delivery systems on the businesses, households, and governments through mathematical modeling and data science. The vision of the program is to guide decision makers to proactively act on technological advances to reinforce positive impacts and mitigate their adverse effects. To achieve this overarching goal, various business models will be investigated to improve the current operational practices and to alleviate their societal and environmental adverse impacts. In particular, the short-term objectives of the research program include investigating (1) crowdattendance as a new form of crowdsourcing in last-mile delivery, (2) ultrafast last-mile delivery in the context of 15-minute city, (3) freight mode of public transportation in urban areas, (4) use of autonomous vehicles in last-mile delivery, and (5) alternative fuel technologies on urban city centers.