Details
| Originalsprache | Englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 2018 |
Abstract
We discuss an alternative logistics concept for e-grocery operations using an urban network of refrigerated grocery lockers. Regarding the last mile delivery of food and other fast-moving consumer goods, customers either collect their orders by themselves or the products are delivered by means of electric cargo bicycles. To determine the optimal grocery locker locations and both, the routes from the lockers to the consumers as well as the routes from the depot to the grocery lockers, we propose a 2-echelon optimization model minimizing total costs. We present a Location Routing Problem (LRP) in combination with a customized Vehicle Routing Problem (VRP). With our decision support system (DSS), we react to the call of Malhotra et al. (2013) and Gholami et al. (2016) and address the lack of solution-oriented research. We contribute to the Green IS domain by extending the concept of e-grocery with an environmental and social component.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
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2018.
Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review
}
TY - CONF
T1 - Decision Support for Urban E-Grocery Operations
AU - Leyerer, Max
AU - Sonneberg, Marc-Oliver
AU - Breitner, Michael H.
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions. Funding Information: This work is part of the joint research project “USEfUL” (fund number 03SF0547) funded by the German Federal Ministry of Education and Research (BMBF) and managed by the Project Management Jülich.
PY - 2018
Y1 - 2018
N2 - We discuss an alternative logistics concept for e-grocery operations using an urban network of refrigerated grocery lockers. Regarding the last mile delivery of food and other fast-moving consumer goods, customers either collect their orders by themselves or the products are delivered by means of electric cargo bicycles. To determine the optimal grocery locker locations and both, the routes from the lockers to the consumers as well as the routes from the depot to the grocery lockers, we propose a 2-echelon optimization model minimizing total costs. We present a Location Routing Problem (LRP) in combination with a customized Vehicle Routing Problem (VRP). With our decision support system (DSS), we react to the call of Malhotra et al. (2013) and Gholami et al. (2016) and address the lack of solution-oriented research. We contribute to the Green IS domain by extending the concept of e-grocery with an environmental and social component.
AB - We discuss an alternative logistics concept for e-grocery operations using an urban network of refrigerated grocery lockers. Regarding the last mile delivery of food and other fast-moving consumer goods, customers either collect their orders by themselves or the products are delivered by means of electric cargo bicycles. To determine the optimal grocery locker locations and both, the routes from the lockers to the consumers as well as the routes from the depot to the grocery lockers, we propose a 2-echelon optimization model minimizing total costs. We present a Location Routing Problem (LRP) in combination with a customized Vehicle Routing Problem (VRP). With our decision support system (DSS), we react to the call of Malhotra et al. (2013) and Gholami et al. (2016) and address the lack of solution-oriented research. We contribute to the Green IS domain by extending the concept of e-grocery with an environmental and social component.
KW - Decision support system
KW - E-grocery
KW - Green is
KW - Sustainability
KW - Urban logistics
UR - http://www.scopus.com/inward/record.url?scp=85054278924&partnerID=8YFLogxK
M3 - Paper
ER -