Title of article
Data-driven optimization model: Digikala case study
Author/Authors
Hamidi, Sanaz Department of Industrial Engineering - Amirkabir University of Technology, Tehran, Iran , Fatemi Ghomi, Mohammad Taghi Department of Industrial Engineering - Amirkabir University of Technology, Tehran, Iran
Pages
5
From page
86
To page
90
Abstract
Increasing software as a service (SaaS) requires the provision of more
updated models for services, so trying to develop a model customized for the
customer is important. We used the linear Knapsack problem model
proposed by Mike Hewitt and Emma Frejinger in 2020. Then historical data
of Digikala was applied and shown that how the model works on it.
Keywords
Optimization modeling , statistical learning , mixed integer linear programming , third-party logistics
Journal title
Journal of Industrial and Systems Engineering (JISE)
Serial Year
2021
Record number
2733055
Link To Document