Ten advantages of IIoT and analytics for manufacturers

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Ten advantages of IIoT and analytics for manufacturers

Today’s manufacturers must operate at breakneck speed to keep pace with ever-changing customer demands, market trends and global competitors in a rapidly evolving marketplace. Yet many traditional challenges, such as increasing costs, unplanned downtime, quality control (QC), evolving business requirements and aging infrastructure, continue to hamper progress.

Improve Production. Unplanned downtime from equipment breakdowns, unforeseen bottlenecks, supply chain disruptions, labor shortages or changing customer orders can idle assets, resulting in loss of production time and revenue.

More about The actual cost of downtime in the manufacturing industry

Tame Complexity. As the manufacturing sector moves from mass production to mass customization, QC is becoming increasingly complex. Even the most minor variations in production can negatively affect quality, leading to widespread recalls, costly lawsuits, consumer mistrust or exorbitant warranty expenses. And production line irregularities can produce enormous waste.

Find Flexibility. Legacy systems based on proprietary or outdated technologies can’t be integrated with new applications without costly customizations, thereby limiting their extended functionalities. In addition, legacy systems can be expensive to maintain and can divert resources from more-innovative initiatives.

In response, manufacturers are turning to IoT technologies that combine manufacturing assets with embedded sensors, advanced analytics, AI and cognitive computing. The goal is to generate digital intelligence across the entire value stream and, as McKinsey notes, create “processes that govern themselves, where smart products can take corrective action to avoid damages and where individual parts are automatically replenished.”

By harnessing IoT and advanced analytics technologies, manufacturers can:

  • Increase productivity and uptime.
  • Improve process efficiencies.
  • Accelerate innovation.
  • Reduce asset downtime.
  • Enhance operational efficiency.
  • Create end-to-end operational visibility.
  • Improve product quality.
  • Reduce operating costs.
  • Optimize production scheduling.
  • Improve overall equipment effectiveness (OEE).

IoT applications in factory settings have the potential to create as much as $3.7 trillion in value per year in 2025, according to a report from the McKinsey Global Institute.

Learn more about: 

  • The 4 M’s of Manufacturing (Man, Machine, Materials and Method) 
  • Sullair Case study focusing on real-time monitoring of critical assets for fast response 
  • How to maximize performance of critical assets using IIoT 
  • Four steps a manufacturer should adopt for a successful digital transformation program  
  • Case study: Daicel 
  • Types of advanced analytics that can aid manufacturers 
  • Conclusions 

This is an excerpt from a white paper written by CIO from IDG for Hitachi Vantara. For more resources on Industrial IoT on our website, check this link

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