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Product sequencing and pricing under cascade browse model

  • University of Texas at Dallas

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We study the assortment optimization problem under the newly proposed cascade browse model. We propose a constant approximate solution to this problem. As a byproduct, we propose the first fully polynomial-time approximation scheme (FPTAS) for the classic assortment optimization problem subject to one capacity constraint and one cardinality constraint. We also studied a joint pricing and sequencing problem under the above model and develop a constant approximate solution to this problem.

Original languageEnglish
Pages (from-to)687-692
Number of pages6
JournalOperations Research Letters
Volume48
Issue number6
DOIs
StatePublished - Nov 2020

Keywords

  • Approximation algorithms
  • Assortment optimization
  • Cascade browse model

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