When Machines Decide – Improving Manufactuing Productivity with Data Analytics by Vasu Netrakanti

In an automated manufacturing environment, computers can help machines decide.

Third Industrial Revolution:

Digitisation of Manufacturing

(The Economist)

  • Perspective of optimization solutions provider
  • Predictive analytics  – Decision support
  • Integrated with plant infrastructure
  • Real-time decisions: routing (what next), selection (which order) …

Challenges

  • Reliable, accessible, timely data
  • Complement or supplement existing business processes?

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Preparing for Analytics – Extracting Meaningful Data from Physical Processes by Mark Hambliin



To move toward formal analytics, manufacturers must convert their physical transactions to an electronic form

Contents:

  • The different types of manufacturers and their different data requirements
  • Obtaining data in low-tech environments
  • How this data can be used to generate competitive advantages

Value of Analytics in Discrete

  • Proper analysis often results in:
  • Reduced expediting costs
  • Higher margins and fewer bad receivables
  • Reduced office overhead
  • Improved customer service
  • Lower inventory levels
  • Improved shop productivity
  • Improved asset utilization
  • Improved quality

Conclusion

  • Analytics can significantly improve operational efficiency and profitability
  • The first step in being able to properly analyse data is to collect the data
  • Alberta discrete manufacturers have a number of options to improve data collection

See the presentation below: