Crowdsourced delivery leverages the unused transport capacity of vehicles already on the road to perform parcel deliveries. While it can potentially tackle challenges in urban delivery, it also introduces unique planning challenges, notably the operator’s lack of direct control over driver availability and acceptance behavior. Compensation, now, also is a decision of the operator, which affects drivers’ behavior. In addition, the operator can offer bundles of tasks, which further shape drivers’ responses and increase the problem’s complexity. Therefore, we study a setting in which tasks and drivers arrive dynamically and stochastically, explicitly model driver- and offer-dependent acceptance probabilities, and jointly determine bundles and compensation. We formulate the problem as a Markov Decision Process and solve it using Value Function Approximation within an Approximate Dynamic Programming framework. Preliminary results show clear advantages over benchmark policies.
Buğra Çınar: Dynamic crowdsourced delivery problems 21 May 2026 16:00 - 17:00
About Buğra Çınar: Dynamic crowdsourced delivery problems
Starting date
- 21 May 2026
Time
- 16:00 - 17:00
Location
- VU Main Building
Address
- De Boelelaan 1105
- 1081 HV Amsterdam
Organised by
- Operations Analytics
Language
- English
Buğra Çınar
Alim Buğra Çınar joined the Department of Operations Analytics at VU Amsterdam as a PhD candidate in February 2022. He holds both his bachelor's (2018) and master's degrees (2021) in Industrial Engineering from Boğaziçi University. Some of his research interests include supply chain management, optimization techniques, integer programming, the application of large-scale optimization algorithms.
Interested in attending the seminar or in giving a talk?
Please send an email to Tim Oosterwijk