Relating the Approximability of the Fixed Cost and Space Constrained Assortment Problems
Author:
Affiliation:
1. Olin Business School Washington University St. Louis Missouri63130USA
2. Data Science Initiative Brown University Providence Rhode Island02912USA
Publisher
Wiley
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/poms.12983
Reference32 articles.
1. Aouad A. V.F.Farias R.Levi D.Segev.2015.The approximability of assortment optimization under ranking preferences. Available at SSRN:https://ssrn.com/abstract=2612947(accessed date November 30 2018).
2. Aouad A. V.F.Farias R.Levi.2015.Assortment optimization under consider‐then‐choose choice models. Available at SSRN:https://ssrn.com/abstract=2618823(accessed date November 30 2018).
3. Aouad A. J.Feldman D.Segev.2018.The exponomial choice model: Assortment optimization and application to public transit choice prediction in San Francisco. (forthcoming)
4. A Markov Chain Approximation to Choice Modeling
5. Davis J.M. G.Gallego H.Topaloglu.2013.Assortment planning under the multinomial logit model with totally unimodular constraint structures. Working Paper Department of IEOR Columbia University. Available athttp://www.columbia.edu/gmg2/logit_const.pdf(accessed date November 30 2018).
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