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2018 Big Data to Enhance Manufacturing Processes

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How to Utilize Big Data to Enhance Manufacturing Processes, published by PMMI – The Association for Packaging and Processing Technologies, examines how manufacturers collect, process, and apply production data to improve quality, uptime, and flexibility. Drawing on a 2018 whitepaper with industry interviews and cross-sector case studies, the analysis indicates implementation choices and benchmarks that tend to influence outcomes. Key focus areas include workforce skills and change management; data strategy and infrastructure from sensors to hybrid cloud; and analytics-to-action covering user interfaces, alarm handling and asset prioritization. Applications such as predictive maintenance, machine vision sorting and recipe consistency generally show operational gains, while charts highlight trade-offs across sectors. Download the report to see where leaders prioritize investments that strengthen resilience.

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2018 Big Data to Enhance Manufacturing Processes

Why Download This Report?

  • See how sensor-based predictive maintenance optimizes machinery uptime
  • Analyze packaging machine vision for quality and food safety anomaly detection
  • Identify trends in materials usage and waste across production lines
  • Explore shifts in sustainability metrics from energy and water consumption analytics
  • Compare cloud and edge data strategies for scalable packaging analytics deployments

Published by PMMI in 2018. Based on IHS Markit interviews, case studies, and secondary analysis of manufacturer, OEM, and IIoT vendor projects collected through 2018.

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Questions?

Please contact Rebecca Marquez, Director, Custom Research, PMMI at rmarquez@pmmi.org