Details
| Original language | English |
|---|---|
| Pages (from-to) | 585-603 |
| Number of pages | 19 |
| Journal | Smart Cities |
| Volume | 3 |
| Issue number | 3 |
| Publication status | Published - 2 Jul 2020 |
Abstract
Urbanization, the corresponding road traffic, and increasing e-grocery markets require efficient and at the same time eco-friendly transport solutions. In contrast to traditional food procurement at local grocery stores, e-grocery, i.e., online ordered goods, are transported directly to end customers. We develop and discuss an optimization approach to assist the planning of e-grocery deliveries in smart cities introducing a new last mile concept for the urban food supply chain. To supply city dwellers with their ordered products, a network of refrigerated grocery lockers is optimized to temporarily store the corresponding goods within urban areas. Customers either collect their orders by themselves or the products are delivered with electric cargo bicycles (ECBs). We propose a multi-echelon optimization model that minimizes the overall costs while consecutively determining optimal grocery locker locations, van routes from a depot to opened lockers, and ECB routes from lockers to customers. With our approach, we present an advanced concept for grocery deliveries in urban areas to shorten last mile distances, enhancing sustainable transportation by avoiding road traffic and emissions. Therefore, the concept is described as a smart transport system.
Keywords
- City logistics, E-grocery, Last mile delivery, Location routing problem, Multi-echelon optimization, Smart city, Sustainability, Vehicle routing problem
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Engineering(all)
- Electrical and Electronic Engineering
- Social Sciences(all)
- Urban Studies
Sustainable Development Goals
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In: Smart Cities, Vol. 3, No. 3, 02.07.2020, p. 585-603.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Shortening the Last Mile in Urban Areas
T2 - Optimizing a Smart Logistics Concept for E-Grocery Operations
AU - Leyerer, Max
AU - Sonneberg, Marc Oliver
AU - Heumann, Maximilian
AU - Breitner, Michael H.
PY - 2020/7/2
Y1 - 2020/7/2
N2 - Urbanization, the corresponding road traffic, and increasing e-grocery markets require efficient and at the same time eco-friendly transport solutions. In contrast to traditional food procurement at local grocery stores, e-grocery, i.e., online ordered goods, are transported directly to end customers. We develop and discuss an optimization approach to assist the planning of e-grocery deliveries in smart cities introducing a new last mile concept for the urban food supply chain. To supply city dwellers with their ordered products, a network of refrigerated grocery lockers is optimized to temporarily store the corresponding goods within urban areas. Customers either collect their orders by themselves or the products are delivered with electric cargo bicycles (ECBs). We propose a multi-echelon optimization model that minimizes the overall costs while consecutively determining optimal grocery locker locations, van routes from a depot to opened lockers, and ECB routes from lockers to customers. With our approach, we present an advanced concept for grocery deliveries in urban areas to shorten last mile distances, enhancing sustainable transportation by avoiding road traffic and emissions. Therefore, the concept is described as a smart transport system.
AB - Urbanization, the corresponding road traffic, and increasing e-grocery markets require efficient and at the same time eco-friendly transport solutions. In contrast to traditional food procurement at local grocery stores, e-grocery, i.e., online ordered goods, are transported directly to end customers. We develop and discuss an optimization approach to assist the planning of e-grocery deliveries in smart cities introducing a new last mile concept for the urban food supply chain. To supply city dwellers with their ordered products, a network of refrigerated grocery lockers is optimized to temporarily store the corresponding goods within urban areas. Customers either collect their orders by themselves or the products are delivered with electric cargo bicycles (ECBs). We propose a multi-echelon optimization model that minimizes the overall costs while consecutively determining optimal grocery locker locations, van routes from a depot to opened lockers, and ECB routes from lockers to customers. With our approach, we present an advanced concept for grocery deliveries in urban areas to shorten last mile distances, enhancing sustainable transportation by avoiding road traffic and emissions. Therefore, the concept is described as a smart transport system.
KW - City logistics
KW - E-grocery
KW - Last mile delivery
KW - Location routing problem
KW - Multi-echelon optimization
KW - Smart city
KW - Sustainability
KW - Vehicle routing problem
UR - http://www.scopus.com/inward/record.url?scp=85090387324&partnerID=8YFLogxK
U2 - 10.3390/smartcities3030031
DO - 10.3390/smartcities3030031
M3 - Article
AN - SCOPUS:85090387324
VL - 3
SP - 585
EP - 603
JO - Smart Cities
JF - Smart Cities
IS - 3
ER -