Fikar, Christian, Hirsch, Patrick, Gronalt, Manfred. 2018. A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes. International Journal of Logistics: Research and Applications. 21 (3), 300-317.
BibTeX
Abstract
This work presents a decision support system to facilitate efficient urban last-mile distribution. Orders are collected and delivered by a fleet of both conventional vehicles owned by a logistics provider and cargo-bikes operated by freelancers. Additionally, micro-hubs are operated to perform transshipments between multiple vehicles. To investigate the corresponding problem setting, an agent-based simulation is developed, which uses dynamic optimisation procedures to generate and select vehicle routes and transshipment points. Experiments motivated by dynamic real-world urban restaurant delivery services investigate the impact of cargo-bikes, urban consolidation and guaranteed delivery times. Potentials are discussed and implications for successful implementations are provided. Results highlight the importance of having a sufficient number of active cargo-bikes available and benefits of incorporating consolidation strategies to guarantee timely deliveries.
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Status of publication | Published |
---|---|
Affiliation | External |
Type of publication | Journal article |
Journal | International Journal of Logistics: Research and Applications |
Citation Index | SSCI |
WU-Journal-Rating new | STRAT-C |
Language | English |
Title | A decision support system to investigate dynamic last-mile distribution facilitating cargo-bikes |
Volume | 21 |
Number | 3 |
Year | 2018 |
Page from | 300 |
Page to | 317 |
URL | https://doi.org/10.1080/13675567.2017.1395830 |
DOI | http://dx.doi.org/10.1080/13675567.2017.1395830 |
Open Access | N |
Associations
- People
- Fikar, Christian (Details)
- External
- Gronalt, Manfred (Universität für Bodenkultur Wien, Austria)
- Hirsch, Patrick (Universität für Bodenkultur Wien, Austria)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1112 Logistics (Details)
- 5347 Operations research (Details)