Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 267-300 |
| Seitenumfang | 34 |
| Fachzeitschrift | EURO Journal on Decision Processes |
| Jahrgang | 7 |
| Ausgabenummer | 3-4 |
| Publikationsstatus | Veröffentlicht - Nov. 2019 |
Abstract
The worldwide trend of urbanization, the rising needs of individuals, and the continuous growth of e-commerce lead to increasing urban delivery activities, which are a substantial driver of traffic and pollution in cities. Due to rising public pressure, emission-reducing measures are increasingly likely to be introduced. Such measures can cover diesel bans or even entire car-free zones, causing drastic effects on delivery networks in urban areas. As an option to reduce the risk of a regulation-induced shock, we present a resilience-oriented network and fleet optimization. We propose an innovative parcel delivery concept for last mile delivery (LMD) operations and develop an optimization model to support tactical planning decisions. Our model minimizes overall operating costs by determining optimal locations for micro depots and it allocates transport vehicles to them. An adjustable CO2-threshold and external costs are included to consider potential regulatory restrictions by city authorities. We implement our model into a decision support system (DSS) that allows analyzing and comparing different scenarios. We provide a computational study by evaluating and discussing our DSS with an example of a mid-sized German city. Our results and findings demonstrate the trade-off between cost and emission minimization by quantifying the impacts of various fleet compositions. The proposed logistics concept represents an option to achieve environmentally friendly, cost-efficient, and resilient LMD of parcels.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Allgemeine Entscheidungswissenschaften
- Mathematik (insg.)
- Statistik und Wahrscheinlichkeit
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Betriebswirtschaft, Management und Rechnungswesen (sonstige)
- Mathematik (insg.)
- Computational Mathematics
- Mathematik (insg.)
- Angewandte Mathematik
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in: EURO Journal on Decision Processes, Jahrgang 7, Nr. 3-4, 11.2019, S. 267-300.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Decision support for sustainable and resilience-oriented urban parcel delivery
AU - Leyerer, Max
AU - Sonneberg, Marc Oliver
AU - Heumann, Maximilian
AU - Breitner, Michael H.
PY - 2019/11
Y1 - 2019/11
N2 - The worldwide trend of urbanization, the rising needs of individuals, and the continuous growth of e-commerce lead to increasing urban delivery activities, which are a substantial driver of traffic and pollution in cities. Due to rising public pressure, emission-reducing measures are increasingly likely to be introduced. Such measures can cover diesel bans or even entire car-free zones, causing drastic effects on delivery networks in urban areas. As an option to reduce the risk of a regulation-induced shock, we present a resilience-oriented network and fleet optimization. We propose an innovative parcel delivery concept for last mile delivery (LMD) operations and develop an optimization model to support tactical planning decisions. Our model minimizes overall operating costs by determining optimal locations for micro depots and it allocates transport vehicles to them. An adjustable CO2-threshold and external costs are included to consider potential regulatory restrictions by city authorities. We implement our model into a decision support system (DSS) that allows analyzing and comparing different scenarios. We provide a computational study by evaluating and discussing our DSS with an example of a mid-sized German city. Our results and findings demonstrate the trade-off between cost and emission minimization by quantifying the impacts of various fleet compositions. The proposed logistics concept represents an option to achieve environmentally friendly, cost-efficient, and resilient LMD of parcels.
AB - The worldwide trend of urbanization, the rising needs of individuals, and the continuous growth of e-commerce lead to increasing urban delivery activities, which are a substantial driver of traffic and pollution in cities. Due to rising public pressure, emission-reducing measures are increasingly likely to be introduced. Such measures can cover diesel bans or even entire car-free zones, causing drastic effects on delivery networks in urban areas. As an option to reduce the risk of a regulation-induced shock, we present a resilience-oriented network and fleet optimization. We propose an innovative parcel delivery concept for last mile delivery (LMD) operations and develop an optimization model to support tactical planning decisions. Our model minimizes overall operating costs by determining optimal locations for micro depots and it allocates transport vehicles to them. An adjustable CO2-threshold and external costs are included to consider potential regulatory restrictions by city authorities. We implement our model into a decision support system (DSS) that allows analyzing and comparing different scenarios. We provide a computational study by evaluating and discussing our DSS with an example of a mid-sized German city. Our results and findings demonstrate the trade-off between cost and emission minimization by quantifying the impacts of various fleet compositions. The proposed logistics concept represents an option to achieve environmentally friendly, cost-efficient, and resilient LMD of parcels.
KW - City logistics
KW - Decision support system
KW - Environmental sustainability
KW - Last mile delivery
KW - Resilience
UR - http://www.scopus.com/inward/record.url?scp=85077108862&partnerID=8YFLogxK
U2 - 10.1007/s40070-019-00105-5
DO - 10.1007/s40070-019-00105-5
M3 - Article
AN - SCOPUS:85077108862
VL - 7
SP - 267
EP - 300
JO - EURO Journal on Decision Processes
JF - EURO Journal on Decision Processes
SN - 2193-9438
IS - 3-4
ER -