Assortment optimization under multiple-discrete customer choices
Heng Zhang1, Hossein Piri2, Woonghee Tim Huh3, Hongmin Li1
1Arizona State University, United States of America; 2University of Calgary, Canada; 3University of British Columbia, Canada
We consider an assortment optimization problem where the customer may purchase multiple products and possibly more than one unit of each product. We adopt the customer consumption model based on the multiple-discrete-choice (MDC) model. We present an algorithmic framework that delivers near-optimal algorithms for different variations of the assortment problem.