ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on Internet of Things-based decision support systems, industrial big data analytics, and autonomous production processes in sustainable smart manufacturing. Using and replicating data from Capgemini, Deloitte, The Economist Intelligence Unit, IoT World Today, LNS Research, Management Events, McKinsey, and Plex Systems, we performed analyses and made estimates regarding how digital transformation endeavors develop on sustainable cyber-physical production systems, representing a groundbreaking prospect for industrial plants to reconfigure their operations, as cyber-physical smart manufacturing systems self-optimize production processes by harnessing smart sensors. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: Internet of Things; industrial big data analytics; smart manufacturing

How to cite: Smith, A., and Machova, V. (2021). “Internet of Things-based Decision Support Systems, Industrial Big Data Analytics, and Autonomous Production Processes in Sustainable Smart Manufacturing,” Journal of Self-Governance and Management Economics 9(4): 21–34. doi: 10.22381/jsme9420212.

Received 19 April 2021 • Received in revised form 12 December 2021
Accepted 16 December 2021 • Available online 21 December 2021

Alison Smith
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Real-Time Data Analytics
at ISBDA, London, England
(corresponding author)
Veronika Machova
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Institute of Technology and Business in Ceske Budejovice,
The School of Expertness and Valuation, Czech Republic

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

Joomla templates by Joomlashine