Details
| Original language | English |
|---|---|
| Article number | 5544 |
| Journal | Sustainability (Switzerland) |
| Volume | 11 |
| Issue number | 20 |
| Publication status | Published - 2 Oct 2019 |
Abstract
The Vehicle Routing Problem (VRP) in its manifold variants is widely discussed in scientific literature. We investigate related optimization models and solution methods to determine the state of research for vehicle routing attributes and their combinations. Most of these approaches are idealized and focus on single problem-tailored routing applications. Addressing this research gap, we present a customizable VRP for optimized road transportation embedded into a Decision Support System (DSS). It integrates various model attributes and handles a multitude of real-world routing problems. In the context of urban logistics, practitioners of different industries and researchers are assisted in efficient route planning that allows for minimizing driving distances and reducing vehicle emissions. Based on the design science research methodology, we evaluate the DSS with computational benchmarks and real-world simulations. Results indicate that our developed DSS can compete with problem-tailored algorithms. With our solution-oriented DSS as final artifact, we contribute to an enhanced economic and environmental sustainability in urban logistic applications.
Keywords
- Decision support system, Design science research, Green information system, Urban logistics, Vehicle routing problem
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Energy(all)
- Renewable Energy, Sustainability and the Environment
- Environmental Science(all)
- Management, Monitoring, Policy and Law
Sustainable Development Goals
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In: Sustainability (Switzerland), Vol. 11, No. 20, 5544, 02.10.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems
AU - Leyerer, Max
AU - Sonneberg, Marc Oliver
AU - Heumann, Maximilian
AU - Kammann, Tim
AU - Breitner, Michael H.
N1 - Funding information: Acknowledgments: The publication of this article was funded by the Open Access fund of Leibniz Universität Hannover.
PY - 2019/10/2
Y1 - 2019/10/2
N2 - The Vehicle Routing Problem (VRP) in its manifold variants is widely discussed in scientific literature. We investigate related optimization models and solution methods to determine the state of research for vehicle routing attributes and their combinations. Most of these approaches are idealized and focus on single problem-tailored routing applications. Addressing this research gap, we present a customizable VRP for optimized road transportation embedded into a Decision Support System (DSS). It integrates various model attributes and handles a multitude of real-world routing problems. In the context of urban logistics, practitioners of different industries and researchers are assisted in efficient route planning that allows for minimizing driving distances and reducing vehicle emissions. Based on the design science research methodology, we evaluate the DSS with computational benchmarks and real-world simulations. Results indicate that our developed DSS can compete with problem-tailored algorithms. With our solution-oriented DSS as final artifact, we contribute to an enhanced economic and environmental sustainability in urban logistic applications.
AB - The Vehicle Routing Problem (VRP) in its manifold variants is widely discussed in scientific literature. We investigate related optimization models and solution methods to determine the state of research for vehicle routing attributes and their combinations. Most of these approaches are idealized and focus on single problem-tailored routing applications. Addressing this research gap, we present a customizable VRP for optimized road transportation embedded into a Decision Support System (DSS). It integrates various model attributes and handles a multitude of real-world routing problems. In the context of urban logistics, practitioners of different industries and researchers are assisted in efficient route planning that allows for minimizing driving distances and reducing vehicle emissions. Based on the design science research methodology, we evaluate the DSS with computational benchmarks and real-world simulations. Results indicate that our developed DSS can compete with problem-tailored algorithms. With our solution-oriented DSS as final artifact, we contribute to an enhanced economic and environmental sustainability in urban logistic applications.
KW - Decision support system
KW - Design science research
KW - Green information system
KW - Urban logistics
KW - Vehicle routing problem
UR - http://www.scopus.com/inward/record.url?scp=85073931113&partnerID=8YFLogxK
U2 - 10.3390/su11205544
DO - 10.3390/su11205544
M3 - Article
AN - SCOPUS:85073931113
VL - 11
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
SN - 2071-1050
IS - 20
M1 - 5544
ER -