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DESIGN OF EXPERIMENTS

 "Those who ignore statistics are condemned to reinvent it. Statistics is the science of learning from experience" - Bradley Efron

 

In the Manufacturing Industry, some processes are so complex that even a very experienced and competent engineer would not necessarily know how to identify the best settings for your manufacturing equipment. In addition, most processes are defined by multiple factors or inputs, each of which will change the process output. How do we analyse the right setting for each factor? You obviously cannot adjust one factor at a time and experiment in a disorganized way.


Design of Experiments (DoE) provides an organization with a powerful tool that can help them develop a model in a very practical, cost-effective, and flexible way, allowing them to quickly identify the correct process settings.

It’s a systematic, rigorous approach to engineering problem-solving that applies principles and techniques at the data collection stage so as to ensure the generation of valid, defensible, and supportable engineering conclusions.

It has proved to be very effective in providing a greater understanding of any process, leading to improvements in process yield, process performance, and process variability. It also highlights opportunities for quality improvement.

It is therefore a powerful tool for process validation, which is a requirement in heavily regulated industries such as the Automotive, Aerospace, Pharmaceutical, and Medical Devices industries among others. For example, the International Organization for Standardization (ISO) requires process validation as a regulatory requirement. Design of experiment (DOE) statistical methods will allow these requirements to be met with an efficient use of resources (personnel time, machine time, materials, etc.) and at the same time provides detailed analysis, gives information on reproducibility and errors, and provides a predictive capability. Applying DOE reduces the size and hence the cost of process validation trials.


This one day course will provide you with a comprehensive overview of the Design of Experiments Process and how you can apply it to your organization.

This workshop can also be delivered in-house as a stand-alone training workshop or integrated into wider improvement activities.

We will be happy to discuss our Design of Experiments course in the context of your own business needs, so please contact us for more information.