| In this thesis, we consider assortment optimization problems under a variety of customer choice models. In these assortment problems, a retailer has access to a collection of products and she must decide which set of products to make available for purchase with the goal of maximizing the expected revenue derived from each arriving customer. We consider assortment problems when customers choose according to the Markov chain, nested logit and mixtures of multinomial logit choice models. |
