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5G Enabled Manufacturing Evaluation for Data-Driven Decision-Making

  • Published:2018 Issue: Volume:72 Page:266-271
  • ISSN:2212-8271
  • Container-title:Procedia CIRP
  • language:en
  • Short-container-title:Procedia CIRP

Author:

Bärring Maja,Lundgren Camilla,Åkerman Magnus,Johansson Björn,Stahre Johan,Engström Ulrika,Friis Martin

Publisher

Elsevier BV

Subject

General Medicine

Reference21 articles.

1. Big data: the management revolution;McAfee;Harvard business review.,2012

2. Schuh G, Anderl R, Gausemeier J, ten Hompel M, Wahlster W. Industrie 4.0 Maturity Index. 2017.

3. Just How Smart Are Smart Machines?;Davenport;MIT Sloan Management Review,2016

4. The Rapid Adoption of Data-Driven Decision-Making;Brynjolfsson;American Economic Review.,2016

5. How Fast and Flexible Do You Want Your Information;Davenport;Really? MIT Sloan Management Review.,2011

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1. A novel six-dimensional digital twin model for data management and its application in roll forming;Advanced Engineering Informatics;2024-08

2. Data-driven decision making in advanced manufacturing Systems: modeling and analysis of critical success factors;Journal of Decision Systems;2023-10-06

3. A review of industrial big data for decision making in intelligent manufacturing;Engineering Science and Technology, an International Journal;2022-05

4. Progressive schema of 5G for Industry 4.0: features, enablers, and services;Industrial Robot: the international journal of robotics research and application;2022-01-19

5. Data Driven Decision Analysis on the Performance of Electronic Companies with TOPSIS Model;Journal of Advances in Information Technology;2022
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