Prediction Probe

Engineering

Improve Performance using Probabilistic Solutions

Until very recently, most technical and business decisions, even those using the popular Six-Sigma process, were based on either deterministic or statistical approaches-i.e., either focusing strictly on the physical characteristics of a process and making arbitrary corrections, or focusing only on interpretation of pure statistical data that may be flawed or difficult to obtain. Both of these approaches compound their own inherent problems, as they fail to consider effects of uncertainty.

In contrast, Probabilistic Technology considers both the physical and statistical aspects of a process while systematically accounting for various types of uncertainties including inherent uncertainties, model imperfection, lack of data, measurement error, human error, decision uncertainties, human intervention, and more.

 Predictive Methods

In this way, Probabilistic Technology succeeds where the deterministic and statistical approaches fail - yielding the best, most accurate results and leading to efficient, cost-effective solutions.

Across industries worldwide, companies are rapidly discovering the advantages of understanding how variation and uncertainties can impact their products and are using this knowledge to outdistance the competition. The use of Probabilistic Technology has become the key to this process for many industries.

PredictionProbe has developed a unique process that allows systematic implementation of Probabilistic Technology throughout the stages. Our Process provides companies with invaluable resources to:

  • Quantify risk, liability, reliability, and safety measures, even with limited or no data
  • Enhance six sigma and design for six sigma processes and tools
  • Perform efficient Design For Six Sigma
  • Perform Robust Design
  • Realize Lean Thinking by effectively identifying and removing waste
  • Identify root-causes objectively
  • Identify key uncertainties and critical process input variables
  • Optimize product design and pricing
  • Reduce product life cycle costs
  • Minimize warranty costs
  • Minimize product development cycle time
  • Effectively and efficiently manage data, information, and knowledge
  • Predict customer behavior
  • Streamline processes 

Engineering

The engineer has been, and is, a maker of history.

James Kip Finch