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Six Sigma and Simulation

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Process Simulator: with Six Sigma Analysis and Minitab


PCS Product Summary

 

Home -- Your Challenge -- Six Sigma                   

Six Sigma Implementation Challenges

Six Sigma is a disciplined program or methodology for improving quality in all aspects of a company’s products and processes. The primary concept is to define quality metrics CTQ’s (Critical to Quality) that are important to a customer and then understand the relationships between the inputs to the product or process and the outputs (metrics).

As a brief illustration of  the goal of Six Sigma on an individual process,  the diagram below shows the results of two poorly performing processes and one that is more effective.

In the upper left, the process is off-center, producing outputs that are mostly below the target value. All observations below the lower specification limit (LSL) are considered defects.

In the upper right, the process produces outputs that, on average, are on target, but with great variability. All observations below the LSL or above the USL are considered defects.

The goal of Six Sigma is to both center the process and reduce the variation such that all observations of a Critical to Quality (CTQ) measure are within the upper and lower spec limits.


ProModel Enhances Six Sigma Initiatives

ProModel’s knowledge of the Six Sigma Methodologies (DMAIC, DMADV, DFSS) combined with our expertise in simulation technology and broad industry consulting experience allows us to provide clients with a capability to help them get the most value from their Six Sigma programs in the least amount of time.

Simulation  can be one of the most valuable Six Sigma Software Tools

Simulation is just one of the many Six Sigma software tools used during an initiative; however it is one of the most important. Within the analyze and improve stages of the DMAIC methodology, or the analyze and design stages of the DMADV methodology, simulation is a powerful software tool because of the following value and benefits it provides:

  • Simulation takes into account process variances, uncertainties and interdependencies

  • Simulation can test many alternative solutions quickly and easily

  • Models can be developed with little risk and no disruption to existing processes

  • Simulation takes the subjectivity and emotion out of decision making

  • Animation features make simulation a good tool to help sell others on the best solutions

  • Reusable models encourage continuous improvement

  • Impact on upstream or downstream customers/operations/processes can be considered

 

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10 Year Journey of Implementing Simulation into a customers culture Video File



 

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