<![CDATA[Background: Smart manufacturing creates value when digital information changes a production decision. Sensors and dashboards are useful only when they reduce downtime, improve yield, shorten changeovers, stabilize quality or make maintenance more predictable. Aims: This article examines the mechanisms that connect the topic to organizational or policy performance and identifies the conditions that make those mechanisms stronger or weaker. Research Method: A structured narrative review integrates peer-reviewed research with authoritative policy, statistical, and professional sources, including IEA (2024b); Sony & Naik (2020). Sources are coded by outcome, mechanism, boundary condition, and practical implication. Results and Conclusion: The synthesis indicates that outcomes are heterogeneous. Industry 4.0 projects can produce impressive demonstrations without improving plant economics. A technically successful pilot may fail at scale because data standards, maintenance skills, cybersecurity and process ownership were never resolved. Six recurring themes show that implementation quality, information, capability, and institutional context frequently matter as much as the headline policy or technology. Contribution: The article offers an evidence-based framework for manufacturing firms and process engineers that translates the literature into decision principles without claiming primary data that were not collected.]]>
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