Solving utility-maximization selection problems with multinomial logit demand: is the first-choice model a good approximation?

DOI10.1007/S10479-019-03300-4zbMath1456.90129OpenAlexW2953966940MaRDI QIDQ827131

Laurent Alfandari, Victoire Denoyel, Aurélie Thiele

Publication date: 6 January 2021

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-019-03300-4

zbMATH Keywords

combinatorial optimizationapproximationinteger linear programmingmultinomial logitdiscrete choice modeling

Mathematics Subject Classification ID

Integer programming (90C10) Combinatorial optimization (90C27) Utility theory (91B16)

Related Items (1)

On the expression for expected customer choice probabilities

Cites Work

• Competitive facility location model with concave demand
• Efficient solution approaches for a discrete multi-facility competitive interaction model
• Optimizing healthcare network design under reference pricing and parameter uncertainty
• The maximum capture problem with random utilities: problem formulation and algorithms
• A comparison of linear reformulations for multinomial logit choice probabilities in facility location models
• Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
• Optimizing pricing and location decisions for competitive service facilities charging uniform price
• Combinatorial Optimization with Rational Objective Functions

This page was built for publication: Solving utility-maximization selection problems with multinomial logit demand: is the first-choice model a good approximation?