« Projekte
Sie verwenden einen sehr veralteten Browser und können Funktionen dieser Seite nur sehr eingeschränkt nutzen. Bitte aktualisieren Sie Ihren Browser. http://www.browser-update.org/de/update.html
Same-Day Delivery with Fair Customer Service
In this project, we study the problem of offering fair same-day delivery (SDD)-service to customers. The service area is partitioned into different regions. Over the course of a day, customers request for SDD service, and the timing of requests and delivery locations are not known in advance. The dispatcher dynamically assigns vehicles to make deliveries to accepted customers before their delivery deadline. In addition to overall service rate, we maximize the minimal regional service rate across all regions by means of reinforcement learning. Computational results demonstrate the effectiveness of our approach in alleviating unfairness both spatially and temporally in different customer geographies. We also show this effectiveness is valid with different depot locations, providing businesses with opportunity to achieve better fairness from any location. Further, we consider the impact of ignoring fairness in service

Kooperationen im Projekt


weitere Projekte

Die Daten werden geladen ...