Work

Robust Dynamic Assortment Optimization in the Presence of Outlier Customers

Year: 2023

Type: article

Abstract: Robust Dynamic Assortment Optimization Assortment optimization with choice model estimation and learning has been studied extensively in the data-driven revenue management literature. Existing methods and analysis, however, do not take into consideration the fact that some customers arriving at certain time periods might exhibit outlier purchasing behaviors. The work of Chen et al. studies dynamic assortment optimization in the presence of outlier customers modeled by an [Formula: see text]-contamnination model. The impact of outlier customers on the revenue performance of an algorithm is analyzed and discussed.

Source: Operations Research

DOI: 10.1287/opre.2020.0281

Authors: Xi Chen, Akshay Krishnamurthy, Yining Wang

Institutions: New York University, Microsoft Research New York City (United States), The University of Texas at Dallas

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4386026497

FWCI: 2.195

Cites: 27

Cited by: 27

Related to: 10