CESS Seminar : Context-Aware Assortment Optimization in Platform-Based Urban Mobility - Prof. Maknoon and Tactical planning for dynamic transportation problems - Prof. Pisinger
Abstracts
Context-Aware Assortment Optimization in Platform-Based Urban Mobility - Prof. Yousef Maknoon
This study delves into the role of context effects in assortment optimization for platform-based urban mobility services, challenging the assumptions of classical Random Utility Maximization (RUM) models. We employ the Random Regret Minimization (RRM) model and introduce a novel 'Marginal Decoy Policy' specifically designed to capture behavioral anomalies arising from context effects. Through comparative analyses with established models such as Multinomial Logit (MNL) and Generalized Random Regret Minimization (G-RRM), we demonstrate the efficacy of our approach. The findings elucidate new strategies for dynamic service menu optimization, significantly enhancing customer satisfaction and retention by taking context effects into account.
Tactical planning for dynamic transportation problems - Prof. David Pisinger (DTU)
We consider the tactical planning aspect of a dynamic transportation problem with a time horizon of several days. Some tasks are known beforehand, while others arrive dynamically. The tactical planning is to schedule the known tasks, such that we minimize the overall driving distance while ensuring short service times for the dynamic tasks.
Without tactical planning, the known tasks would be spread throughout the whole area as they are scheduled based on a first-come-first-serve principle. In this study, we partition the area into disjoint slices covering the full plane and then assign the slicesto individual work days. Computational results are reported showing around a 10% reduction in driving distance when using tactical planning, while still being resilient to the dynamic tasks. Furthermore, we show that up to 70% of the drivers can have a non-changing work day, without a significant increase in driving distance.
Short bios
Prof. Yousef Maknoon is a faculty member at the Faculty of Technology, Policy, and Management (TPM) at TU Delft. He is also the director of Orbit Lab, a research group specializing in Operations Research and Behavioral Informatics in Transportation. His research takes a multidisciplinary approach, firmly rooted in operations research, to tackle emerging challenges in the transport and logistics domain. In recent years, his primary focus has been on the design and operational strategies for on-demand and instant logistics services, driving the evolution of this dynamic field.
Prof. David Pisinger, is professor in operations research at Technical University of Denmark (DTU). His research interests include Maritime optimization, Vehicle Routing, Railway optimization, Energy models, and Wind Farm Layout. He has been leading several research projects in maritime logistics, railway optimization, and packing and loading. David received the Hedorfs Fonds prize for Transport Research 2013, the Glower-Klingman Prize 2019, and he was one of the finalists for the Franz Edelman Prize 2019. Over the years he has supervised more than 30 PhD students. Many of these have received international awards, like the VeRoLog dissertation prize, TSL dissertation prize, EURO doctoral disseration award. Having a background in Knapsack Problems, David Pisinger can be recognized by the fact that he always carries a backpack.
Sandwiches offered after the seminar
Context-Aware Assortment Optimization in Platform-Based Urban Mobility - Prof. Yousef Maknoon
This study delves into the role of context effects in assortment optimization for platform-based urban mobility services, challenging the assumptions of classical Random Utility Maximization (RUM) models. We employ the Random Regret Minimization (RRM) model and introduce a novel 'Marginal Decoy Policy' specifically designed to capture behavioral anomalies arising from context effects. Through comparative analyses with established models such as Multinomial Logit (MNL) and Generalized Random Regret Minimization (G-RRM), we demonstrate the efficacy of our approach. The findings elucidate new strategies for dynamic service menu optimization, significantly enhancing customer satisfaction and retention by taking context effects into account.
Tactical planning for dynamic transportation problems - Prof. David Pisinger (DTU)
We consider the tactical planning aspect of a dynamic transportation problem with a time horizon of several days. Some tasks are known beforehand, while others arrive dynamically. The tactical planning is to schedule the known tasks, such that we minimize the overall driving distance while ensuring short service times for the dynamic tasks.
Without tactical planning, the known tasks would be spread throughout the whole area as they are scheduled based on a first-come-first-serve principle. In this study, we partition the area into disjoint slices covering the full plane and then assign the slicesto individual work days. Computational results are reported showing around a 10% reduction in driving distance when using tactical planning, while still being resilient to the dynamic tasks. Furthermore, we show that up to 70% of the drivers can have a non-changing work day, without a significant increase in driving distance.
Short bios
Prof. Yousef Maknoon is a faculty member at the Faculty of Technology, Policy, and Management (TPM) at TU Delft. He is also the director of Orbit Lab, a research group specializing in Operations Research and Behavioral Informatics in Transportation. His research takes a multidisciplinary approach, firmly rooted in operations research, to tackle emerging challenges in the transport and logistics domain. In recent years, his primary focus has been on the design and operational strategies for on-demand and instant logistics services, driving the evolution of this dynamic field.
Prof. David Pisinger, is professor in operations research at Technical University of Denmark (DTU). His research interests include Maritime optimization, Vehicle Routing, Railway optimization, Energy models, and Wind Farm Layout. He has been leading several research projects in maritime logistics, railway optimization, and packing and loading. David received the Hedorfs Fonds prize for Transport Research 2013, the Glower-Klingman Prize 2019, and he was one of the finalists for the Franz Edelman Prize 2019. Over the years he has supervised more than 30 PhD students. Many of these have received international awards, like the VeRoLog dissertation prize, TSL dissertation prize, EURO doctoral disseration award. Having a background in Knapsack Problems, David Pisinger can be recognized by the fact that he always carries a backpack.
Sandwiches offered after the seminar
Practical information
- Informed public
- Free
Organizer
- Prof. Olga Fink (IMOS), Prof. Alexandre Alahi (VITA), Prof. Dusan Licina (HOBEL), Prof. Alain Nussbaumer (RESSLab)
Contact
- Prof. Michel Bierlaire (TRANSP-OR)