Experian Convex | Use Cases | Manufacturing

Manufacturing companies can benefit from Convex to better manage maintenance, energy management, people management problems.

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Manifacturing

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maintanence

Predictive Maintanence

Challenges

  • Existing best practices, such as scheduled preventative maintenance, can mitigate failure, but will not catch unusual, unexpected failures
  • Scheduled maintenance can also be excessively conservative, resulting in excessive downtime and maintenance costs
  • Existing process to identify these defects requires manual inspections which are resource-intensive, tedious assignments for maintenance engineers responsible for quality assurance.

Opportunities

  • Using AI to automate the process allows operators to identify subtle or unknown issues with equipment operation in the collected sensor data, schedule maintenance when maintenance is truly needed, or be automatically notified to intervene when a sudden failure is imminent.
  • AI will empower your maintenance staff with the information they need to keep operations running without any disruptions

Energy Management

Challenges

  • Manufacturing operations can be quite energy intensive. waste nearly 30% of that energy.
  • There can be various causes of energy waste in manufacturing including leaky air compressors, inefficient equipment, and unnecessary heating/cooling in buildings.
  • Energy waste combined with unanticipated demand can lead to conflated energy costs and be a drag on profitability.

Opportunities

  • Reduce energy expenditures using predictive analytics to identify high-value savings opportunities
  • Forecast consumption and predict peak demand events with tailored machine learning algorithms that provide high degrees of accuracy
  • Monitor asset health and equipment efficiency in real time to improve system reliability and manage costs
  • Optimize cost- and carbon-saving investments with machine learning insights and ‘what if’ scenario analysis
  • Achieve sustainability goals with tailored carbon-reduction insights, AI-powered measurement & verification, and streamlined financial and carbon emissions reporting

energy

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