Huseyin Topaloglu Cornell University
School of ORIE
Jake Feldman Cornell University
School of ORIE
Upper Bounds on the Optimal Expected Revenue for Assortment
Optimization under the Mixed Multinomal Logit Choice Model
Problem Basics
Motivation
BestBuy.com – Purchasing T.V.
Modeling ChoiceTypes of ShoppersModeling Customer Choice
Modeling ChoiceTypes of ShoppersModeling Customer Choice
Types of ShoppersModeling ChoiceTypes of ShoppersModeling Customer Choice
Types of ShoppersModeling Customer Choice
Parameters of Choice Model
Mixed-Multinomial Logit Choice Model
Problem Formulation
Problem Difficulties
Background
Upper Bound Approach
Decoupling Customer Types
Decoupling Customer Types
Decoupling Customer Types
Decoupling Customer Types
Decoupling Customer Types
Remaining Difficulties
Side-Stepping Nonlinearity
Side-Stepping Nonlinearity
Side-Stepping Nonlinearity
Side-Stepping Nonlinearity
Gridding No-purchase Probability
Gridding No-purchase Probability
Maintain Upper Bound
Maintain Upper Bound
Maintain Upper Bound
Maintain Upper Bound
Full Problem
Full Problem
Full Problem
Full Problem
Computational Experiments
Computational Experiments
Results
GurobiCTDLagrangian
Results
GurobiCTDLagrangian
Results
GurobiCTDLagrangian
Summary of Results
Thank you
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