Dynamic assortment optimization for reusable products with random usage durations

P Rusmevichientong, M Sumida… - Management …, 2020 - pubsonline.informs.org
We consider dynamic assortment problems with reusable products, in which each arriving
customer chooses a product within an offered assortment, uses the product for a random …

The exponomial choice model for assortment optimization: An alternative to the MNL model?

A Aouad, J Feldman, D Segev - Management Science, 2023 - pubsonline.informs.org
In this paper, we consider the yet-uncharted assortment optimization problem under the
exponomial choice model, in which the objective is to determine the revenue-maximizing set …

An approximation algorithm for network revenue management under nonstationary arrivals

Y Ma, P Rusmevichientong, M Sumida… - Operations …, 2020 - pubsonline.informs.org
We provide an approximation algorithm for network revenue management problems. In our
approximation algorithm, we construct an approximate policy using value function …

The exponomial choice model: Algorithmic frameworks for assortment optimization and data-driven estimation case studies

A Aouad, J Feldman, D Segev - Available at SSRN 3192068, 2018 - papers.ssrn.com
In this paper, we consider the yet-uncharted assortment optimization problem under the
Exponomial choice model, where the objective is to determine the revenue maximizing set …

[图书][B] New Revenue Management Models for Online Retailing

M Sumida - 2020 - search.proquest.com
In online retailing, core operational questions include deciding on the assortment of
products that should be displayed to incoming customers and how to adjust these …

Network revenue management with independent demands

G Gallego, H Topaloglu, G Gallego… - … Management and Pricing …, 2019 - Springer
In this chapter, we consider a firm that has finite capacities of several resources that can be
instantly combined into different products with fixed prices. We assume that there is an …

[引用][C] A constant-factor approximation algorithm for network revenue management

Y Ma, P Rusmevichientong, M Sumida, H Topaloglu - 2018 - Working Paper