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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