Intelligente Tourenplanung mit DynaRoute
| dc.contributor.author | Wendt, Oliver | |
| dc.contributor.author | Stockheim, Tim | |
| dc.contributor.author | Weiss, Kilian | |
| dc.date.accessioned | 2018-01-16T08:53:01Z | |
| dc.date.available | 2018-01-16T08:53:01Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | Due to increasing transportation costs and a rising demand for quality services professional optimization and planning of transport processes becomes a critical success factor for many companies. This article provides a detailed description of the software DynaRoute, capable to reduce transportation costs and at the same time increase customer satisfaction. The main results are: ▪Effective planning software enables companies to reduce transport costs by 10% and more while significantly improving service quality for the customer.▪A successful implementation of the software often requires organizational changes in the affected business processes.▪DynaRoute provides companies with the flexibility to take individual planning criteria into account.▪Advanced learning models allow for highly improved travel time predictions and this way increase the timeliness of deliveries. | |
| dc.identifier.pissn | 1861-8936 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/12454 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Wirtschaftsinformatik: Vol. 47, No. 2 | |
| dc.relation.ispartofseries | Wirtschaftsinformatik | |
| dc.subject | Neural Gas | |
| dc.subject | Stochastic Optimization | |
| dc.subject | Transport Planning | |
| dc.subject | Travel Time Prediction | |
| dc.title | Intelligente Tourenplanung mit DynaRoute | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 140 | |
| gi.citation.startPage | 135 |