Packagers and Processors Weigh in on Effective Data Utilization

Packaging and processing professionals note several important factors to consider when using data to enhance the production process.

Expert panelists and industry experts describe a needed 'buy-in' for effective data utilization.
Expert panelists and industry experts describe a needed "buy-in" for effective data utilization.
PMMI Business Intelligence: Data Acquisition, Sharing and Utilization

Collecting real-time data can help processors stay informed on maintenance, manage yields, and improve efficiency. Yet, legacy equipment, cost constraints, and variable data sources can complicate scaling. Thus, various industry experts see effective collaboration with original equipment manufacturers (OEMs) as the key to seamless data capture and interoperability.

That’s according to PMMI Business Intelligence’s “Data Acquisition, Sharing and Utilization,” a report that captures insight from packaging and processing end-users and OEMs on obstacles and benefits of integrating growing levels of digital connectivity and data utilization into manufacturing operations for operational efficiency. The report stems from a Q&A session and roundtable discussions between expert panelists and industry participants at PACK EXPO International 2024.

Collaboration on using and measuring data is key

Panelists stressed the importance of stakeholder buy-in to ensure the most effective data utilization. One expert used the fitting of modern programmable logic controllers (PLCs) to legacy machinery as an example, stating, “Data is the new oil.”

Furthermore, panelists emphasized that a data-centric mindset must flow from the top down to effect change and encourage leveraging analytics. Stakeholders need to understand the significance of the data they are receiving and recording.

Measuring output was seen as the most effective data capture process since it is information that can be extracted from most machines. It is also a necessary step before implementing data processes like predictive or prescriptive maintenance.

One speaker further advised that a culture of Statistical Process Control (SPC) should be cultivated at both the macro and micro levels.

“So, at the end of the day, operators are going to know what’s going on, but using technology, specifically SPC, at that micro level to engage leadership to say, ‘Hey, there’s something going on in this area. Go look at it.’ And then at the macro level, again, using SPC on top of a data set to say this is noise or this is actually something that we need to pay attention to,” the speaker stated.

SOURCE: PMMI Business Intelligence: Data Acquisition, Sharing and Utilization

For more insights from PMMI’s Business Intelligence team, find reports, including “2024 Technology & Workforce: Using Smart Technologies to Bridge the Skills Gap and “2024 Contract Packaging & Manufacturing: Drivers of Machinery Investments at pmmi.org/business-intelligence

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