Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Internet of Things-based Real-Time Production Logistics, Big Data-driven Decision-Making Processes, and Industrial Artificial Intelligence in Sustainable Cyber-Physical Manufacturing Systems

Internet of Things-based Real-Time Production Logistics, Big Data-driven Decision-Making... Employing recent research results covering Internet of Things-based real-time production logistics, big data-driven decision-making processes, and industrial artificial intelligence in sustainable cyber-physical manufacturing systems, and building my argument by drawing on data collected from Capgemini, Deloitte, IoT World Today, Management Events, McKinsey, PAC, PwC, and SME, I performed analyses and made estimates regarding intelligent remote equipment control and optimization of the manufacturing processes through autonomous robotic systems, predictive maintenance, and sensing technologies in data-driven autonomous production collaboration, the smart transformation of the industrial units, and the manufacturing dynamic monitoring. Robust and flexible automation, smart connected devices, distributed and reconfigurable manufacturing systems, predictive maintenance, and collaborative robotics are pivotal in decentralized cooperative production. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: sustainability; cyber-physical manufacturing; big data; Internet of Things http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Internet of Things-based Real-Time Production Logistics, Big Data-driven Decision-Making Processes, and Industrial Artificial Intelligence in Sustainable Cyber-Physical Manufacturing Systems

Download PDF
13 pages

Loading next page...
 
/lp/addleton-academic-publishers/internet-of-things-based-real-time-production-logistics-big-data-tIDReM8uTz

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
2329-4175
eISSN
2377-0996
Publisher site
See Article on Publisher Site

Abstract

Employing recent research results covering Internet of Things-based real-time production logistics, big data-driven decision-making processes, and industrial artificial intelligence in sustainable cyber-physical manufacturing systems, and building my argument by drawing on data collected from Capgemini, Deloitte, IoT World Today, Management Events, McKinsey, PAC, PwC, and SME, I performed analyses and made estimates regarding intelligent remote equipment control and optimization of the manufacturing processes through autonomous robotic systems, predictive maintenance, and sensing technologies in data-driven autonomous production collaboration, the smart transformation of the industrial units, and the manufacturing dynamic monitoring. Robust and flexible automation, smart connected devices, distributed and reconfigurable manufacturing systems, predictive maintenance, and collaborative robotics are pivotal in decentralized cooperative production. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: sustainability; cyber-physical manufacturing; big data; Internet of Things

Journal

Journal of Self-Governance and Management Economics – Addleton Academic Publishers

Published: Jan 1, 2021

There are no references for this article.