Workshop Logistics
The workshops are taught at your facilities. The minimum number of attendees is 3 with a minimum fee. All of the workshops require a dedicated room with typically one computer for every 2 or 3 students. The workshops use the computers as one part of the overall presentation of the concepts and methods which are taught. These are NOT just software training courses. For example, at the end of the Basic DOE Workshop, the attendees are able to use the ECHIP software to design and analyze their experiments, but more importantly, they understand what needs to happen in the lab to get the proper results.
Basic Design of Experiments (3-days)
The foundations of the application of Design of Experiments has been taught with the workshop for over 25 years. Since its inception, the contents of the workshop have been continuously refined and updated. Over 5,000 professionals have taken this workshop worldwide representing over 1,000 companies. (Learn More)
Advanced Design of Experiments (2-Days)
The Advanced DOE Concepts Workshop offers tactics designed to deal with the more complex special case studies which occur in the real world of experimentation. In general, this workshop is of interest to those who have taken the Basic Workshop, but have projects with challenging applications beyond the basic skill set. (Learn More)
Using Design of Experiments with
Mixture/Formulations (2-Days)
Formulation experiments require a significant amount of additional knowledge in order to achieve success. This is due to the requirement that the total relative amounts in a mixture must sum to 100%. This simple constraint imposes severe restrictions on the underlying mathematics and statistics. The consequence is that the interpretation of the experimental results requires a higher level of sophistication and hence a need for additional training beyond the Basic DOE Workshop. (Learn More)
Experimentation by Design,
Managing DOE Projects (2-Days)
A fundamental feature of Design of Experiments is that the experimental trials are performed as groups rather than one-at-a-time. Although the analysis of a set of trials is vastly superior to that obtained by individual experiments, there is little to no information available until the entire set of trials for a given design is completed. This means that once the decision has been made to run a designed experiment managers should do everything in their power to ensure that no delays are encountered. Stopping a designed experiment when it is 80% complete, wastes the investment in resources that occurred up to that point. (Learn More)