Assortment optimization under the Sequential Multinomial Logit Model
نویسندگان
چکیده
منابع مشابه
Assortment Optimization under the Sequential Multinomial Logit Model
We study the assortment optimization problem under the Sequential Multinomial Logit (SML), a discrete choice model that generalizes the multinomial logit (MNL). Under the SML model, products are partitioned into two levels, to capture differences in attractiveness, brand awareness and, or visibility of the products in the market. When a consumer is presented with an assortment of products, she ...
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Motivated by e-commerce, we study the online assortment optimization problem. The seller offers an assortment, i.e. a subset of products, to each arriving customer, who then purchases one or no product from her offered assortment. A customer’s purchase decision is governed by the underlyingMultiNomial Logit (MNL) choice model. The seller aims to maximize the total revenue in a finite sales hori...
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We study robust formulations of assortment optimization problems under the multinomial logit choice model. The novel aspect of our formulations is that the true parameters of the logit model are assumed to be unknown, and we represent the set of likely parameter values by a compact uncertainty set. The objective is to find an assortment that maximizes the worst case expected revenue over all pa...
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We consider assortment optimization problems under the multinomial logit model, where the parameters of the choice model are random. The randomness in the choice model parameters is motivated by the fact that there are multiple customer segments, each with different preferences for the products, and the segment of each customer is unknown to the firm when the customer makes a purchase. This cho...
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ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2019
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2018.08.047