4 papers
On MIP Formulations for Logit-Based Multi-Purchase Choice Models and Applications
Taotao He, Zhongqi Wu, Yating Zhang
We study logit-based multi-purchase choice models and develop an exact solution methodology for the resulting assortment optimization problems, which we show are NP-hard to approxi…
Optimal Data Reduction under Information-Theoretic Criteria
Taotao He, Jun Luo, Junkai Zhao
Selecting an optimal subset of features or instances under an information theoretic criterion has become an effective preprocessing strategy for reducing data complexity while pres…
An integer programming approach for quick-commerce assortment planning
Yajing Chen, Taotao He, Ying Rong +1
In this paper, we explore the challenge of assortment planning in the context of quick-commerce, a rapidly-growing business model that aims to deliver time-sensitive products. In o…
Assortment Optimization Under History-Dependent Effects
Taotao He, Yating Zhang, Huan Zheng
This paper examines how to plan multi-period assortments when customer utility depends on historical assortments. We formulate this problem as a nonlinear integer programming model…