Data-driven optimization model: Digikala case study

Author(s):

Sanaz Hamidi , Seyed Mohammad Taghi Fatemi Ghomi *

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
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

Language:
English
Published:
Journal of Industrial and Systems Engineering, Volume:14 Issue: 1, Winter 2022
Pages:
86 to 90
https://www.magiran.com/p2395863  
سامانه نویسندگان
  • Fatemi Ghomi، Seyyed Mohammad Taghi
    Corresponding Author (2)
    Fatemi Ghomi, Seyyed Mohammad Taghi
    (1359) دکتری مهندسی صنایع، University of Bradford,England
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شده‌است. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)