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SUMMARY:CESS Seminar : Context-Aware Assortment Optimization in Platform-B
 ased Urban Mobility - Prof. Maknoon and Tactical planning for dynamic tran
 sportation problems - Prof. Pisinger
DTSTART:20231012T110000
DTEND:20231012T123000
DTSTAMP:20260507T233017Z
UID:85ea01cd60cb0f76ce45957418aab619ccaedacdf8880568cd8b7ab2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Yousef Maknoon (TU Delft) and Prof. David Pisinger (DTU)
 \nAbstracts\nContext-Aware Assortment Optimization in Platform-Based Urban
  Mobility - Prof. Yousef Maknoon\nThis study delves into the role of conte
 xt effects in assortment optimization for platform-based urban mobility se
 rvices\, challenging the assumptions of classical Random Utility Maximizat
 ion (RUM) models. We employ the Random Regret Minimization (RRM) model and
  introduce a novel 'Marginal Decoy Policy' specifically designed to captur
 e behavioral anomalies arising from context effects. Through comparative a
 nalyses with established models such as Multinomial Logit (MNL) and Genera
 lized Random Regret Minimization (G-RRM)\, we demonstrate the efficacy of 
 our approach. The findings elucidate new strategies for dynamic service me
 nu optimization\, significantly enhancing customer satisfaction and retent
 ion by taking context effects into account.\n\nTactical planning for dynam
 ic transportation problems - Prof. David Pisinger (DTU)\nWe consider the 
 tactical planning aspect of a dynamic transportation problem with a time h
 orizon of several days. Some tasks are known beforehand\, while others arr
 ive dynamically. The tactical planning is to schedule the known tasks\, su
 ch that we minimize the overall driving distance while ensuring short serv
 ice times for the dynamic tasks.\n\nWithout tactical planning\, the known 
 tasks would be spread throughout the whole area as they are scheduled base
 d 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 slic
 esto individual work days. Computational results are reported showing arou
 nd a 10% reduction in driving distance when using tactical planning\, whil
 e still being resilient to the dynamic tasks. Furthermore\, we show that u
 p to 70% of the drivers can have a non-changing work day\, without a signi
 ficant increase in driving distance.\n\nShort bios\nProf. Yousef Maknoon i
 s 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 Transpo
 rtation. His research takes a multidisciplinary approach\, firmly rooted i
 n operations research\, to tackle emerging challenges in the transport and
  logistics domain. In recent years\, his primary focus has been on the des
 ign and operational strategies for on-demand and instant logistics service
 s\, driving the evolution of this dynamic field.\n\nProf. David Pisinger\,
  is professor in operations research at Technical University of Denmark (D
 TU). His research interests include Maritime optimization\, Vehicle Routin
 g\, Railway optimization\, Energy models\, and Wind Farm Layout. He has be
 en leading several research projects in maritime logistics\, railway optim
 ization\, and packing and loading.  David received the Hedorfs Fonds priz
 e for Transport Research 2013\, the Glower-Klingman Prize 2019\, and he wa
 s 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 int
 ernational 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 car
 ries a backpack.\n\n\nSandwiches offered after the seminar
LOCATION:GC B3 31 https://plan.epfl.ch/?room==GC%20B3%2031 https://epfl.zo
 om.us/j/61011450814
STATUS:CONFIRMED
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