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Packaging and Predictive Maintenance

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Packaging and Predictive Maintenance, published by PMMI – The Association for Packaging and Processing Technologies, examines how early‑2021 survey and interview research of packaging and processing stakeholders assesses adoption, barriers, and comparative value of predictive maintenance relative to other digitization initiatives. The analysis indicates three focus areas: data and sensing strategy, which considers smart sensors, drives‑as‑sensors and PLC telemetry for run‑time and electrical signals; business models and monetization, from per‑sensor subscriptions to Machines‑as‑a‑Service and OEM incentives; and operational enablers, including cybersecurity and remote access, legacy integration, and workforce knowledge capture. Charts highlight adoption patterns and common downtime drivers, and emerging patterns show practical paths to scale; the report reveals where engineering teams are prioritizing investments to strengthen operational resilience.

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Packaging and Predictive Maintenance

Why Download This Report?

  • Explore trends in current/voltage draw metrics for packaging machinery health
  • Identify servo-axis failure patterns impacting packaging line downtime
  • See how smart sensors deployment alters packaging predictive maintenance effectiveness
  • Analyze MaaS pricing and OEM revenue models for packaging machinery
  • Assess cybersecurity and remote-access constraints on packaging data sharing

Published by PMMI in January 2021. Based on a 2020 survey (138 valid responses from CPGs, OEMs and systems integrators) and 14 in‑depth interviews with CPGs and machine builders, collected in 2020.

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Questions?

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