{"id":17939,"date":"2024-07-17T06:14:59","date_gmt":"2024-07-17T06:14:59","guid":{"rendered":"https:\/\/www.plasmacomp.com\/?page_id=17939"},"modified":"2026-04-27T07:44:21","modified_gmt":"2026-04-27T07:44:21","slug":"industrial","status":"publish","type":"page","link":"https:\/\/www.plasmacomp.com\/home\/industries\/industrial\/","title":{"rendered":"Industrial"},"content":{"rendered":"\t\t
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From Manufacturing Automation to Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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The next revolution in manufacturing will involve going beyond factory automation and into factory intelligence\u2026from the automated factory to the predictive factory. Even in a highly automated production environment there exists intelligence gaps, both at the micro (individual asset) level and the macro (asset ecosystem) level. Closing these gaps is the next operational imperative.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Manufacturing\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n Industry Challenges<\/span>\n <\/h4>\n

\n Common Problems Faced <\/b>by Enterprises <\/h2>\n <\/div>\n \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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01<\/p>\r\n

Shallow Observability<\/h2>\r\n

The absence of endpoint AI embedded and trained at the machine level restricts the ability to attain asset-specific insights and to develop predictive performance models. This creates blind spots within the manufacturing ecosystem.\r\n\t<\/p>\r\n\r\n\r\n<\/div>\r\n

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02<\/p>\r\n\r\n

Monitoring and Reporting Limitations<\/h2>\r\n

Machines and devices do not have the ability to self-monitor or self-report. Critical performance insights go undetected and\/or unreported.<\/p>\r\n\r\n\r\n<\/div>\r\n

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03<\/p>\r\n\r\n

Inefficient Maintenance Procedures<\/h2>\r\n

Continued reliance on preventive maintenance processes that are unable to self-adjust based on current real-time conditions of the asset. This creates unnecessary downtimes and poor OEE (overall equipment effectiveness).<\/p>\r\n\r\n<\/div>\r\n\t

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04<\/p>\r\n\r\n

Legacy Knowledge Management Systems<\/h2>\r\n

Outdated knowledge management methodologies are unable retain and capitalize on the vast amounts of organizational knowledge produced by the enterprise. Inability to perform query-based location and retrieval of data necessary for continuous process and machine improvement. <\/p>\r\n\r\n<\/div>\r\n\r\n\t\r\n\r\n\t

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05<\/p>\r\n\r\n

Cyber-Security <\/h2>\r\n
vulnerabilities that include\r\n