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Predictive Maintenance Leads Digitalization Efforts in Packaging and Processing

Packaging and processing companies increasingly use predictive maintenance to reduce downtime and cut maintenance costs.

A growing percentage of packaging and processing industry stakeholders are adopting predictive maintenance and other digitalization technologies.
A growing percentage of packaging and processing industry stakeholders are adopting predictive maintenance and other digitalization technologies.
PMMI Business Intelligence: 2023 Sustainability and Technology - The Future of Packaging and Processing

Predictive maintenance is at the top of digitalization efforts within packaging and processing, and adoption is rising fast.

That’s according to PMMI Business Intelligence’s 2023 report, “Sustainability and Technology – The Future of Packaging and Processing.” In a survey of industry stakeholders conducted for the report, 71% of respondents said they had some form of predictive maintenance technology in place, compared with just 37% for collaborative robots, the next most popular digitalization initiative.

That high figure for predictive maintenance adoption is even more significant compared to the proportion of respondents (45%) who answered ‘yes’ to the same question when market research firm Interact Analysis asked just two years ago.

Predictive Maintenance Uses and Outlook

PredictiveNearly three quarters of packaging and processing industry survey respondents say they are using predictive maintenance technology.PMMI Business Intelligence: 2023 Sustainability and Technology - The Future of Packaging and ProcessingAlmost three-quarters of respondents stated their company is using predictive maintenance. Benefits include reducing unplanned downtime, improved productivity, lower maintenance, repair, and operation (MRO) inventory, increased run times, improved overall equipment effectiveness (OEE), and customer service improvements.

Reducing downtime came up repeatedly in survey answers, as did cutting maintenance costs.

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