Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

The Impact of IT/OT Convergence on Digital Transformation in Manufacturing

Authors: Dr.A.Shaji George;

The Impact of IT/OT Convergence on Digital Transformation in Manufacturing

Abstract

Historically, information technology (IT) and operational technology (OT) teams in manufacturing worked in siloes. While recent digital transformations have brought them closer together through IT/OT convergence, many companies still hesitate to fully integrate their networks, data, and processes. This research examines how effectively uniting IT and OT is fundamentally crucial for smart manufacturing initiatives. The paper first provides background on the separate worlds of IT and OT. It details their misaligned incentives and lack of collaboration that previously impeded digital progress. The paper then explains how developments in fog computing, wireless networks, cybersecurity, and the industrial Internet of Things (IIoT) make integration not just desirable but necessary for competitiveness. A core thesis emerges—that smart factories require fully aligned IT and OT functions to achieve real-time decision making, predictive maintenance, connected technologies, and robust data security. Various case studies reveal the potential, including MT Connect, for improved equipment effectiveness zero-downtime robots that leverage predictive maintenance. Trade publications and expert interviews underscore how once-impractical wireless networks are now optimized for connecting machines and mobile devices on the shop floor. The paper emphasizes the expertise that IT staff contribute on network security and data analytics. Meanwhile, OT personnel provide critical operational knowledge. Their joined forces can implement modern cyber protections suitable for connected equipment and sensitive information flows. Quantitative secondary data affirms the twin goals of digital optimization and risk mitigation rely equally on input from IT and OT. Combined capabilities drive the unprecedented business outcomes that define factory 4.0. As evidence continues to show outdated divisions between the two functions hinder progress, the paper makes an assertive case for integration. It concludes that manufacturing executives underserving either IT or OT squander resources and leave open threats. With clear economic and reputational incentives to transform digitally, manufacturers must empower robust collaboration. The alternative of maintaining outdated divides poses an existential danger. By fully unleashing specialized IT and OT skill sets in tandem, manufacturers can own their digital futures.

Keywords

IT/OT convergence, Smart manufacturing, Industry 4.0, Operational technology, Information technology, Process automation, Industrial IoT, Edge computing, Cybersecurity, Digital transformation.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green