Data based approach to quality improvement.

D4Q is a company based in Denmark and helps companies to design quality into processes and products through a data based approach. We typically use SAS JMP for inferential data analysis and we are experts in creating custom tools and automating everything from data imports to analysis results.

Let us help you with diagnosing weaknesses, making improvements and implementing controls to reduce quality issues in the future.

We diagnose weaknesses in process and products through data analysis of:

  • Predictive Capability analysis of OQ/PQ data
  • Capability analysis of production data
  • Measurement system analysis of measurement equipment
  • Robust design analysis of CAD data

Improving quality by:

  • Widening tolerance limits by employing robust design principles
  • Optimizing product or process parameters through Design of Experiments (DoE)
  • Determining critical to quality limits by creating tolerance stackups / transfer functions
  • Redistributing tolerance allowances based on tolerance stackups

Controlling product quality by:

  • Validating production processes, taking subgroup and batch variation into account
  • Creating control strategies for processes
  • Setting up data collection and monitoring systems
  • Performing correlation studies to determine correlating dimensions and selecting inline control measurands
  • Setting up Statistical process control (SPC)

Anchoring methods in your organization by:

  • Working together with your team
  • Automating methods in scripts and addins
  • Educating your team in performing the tasks themselves

We are experts in data analysis and scripting in SAS JMP and have created automated data import and analysis scripts for many different purposes. We also have expertise in a wide range of disciplines within mechanical engineering such as the energy sector, medico sector, injection molding and measurement fixtures.