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The fast way to optimise a product or process |
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Reduction in the variation of products and processes ie improved robustness Investigation of process variables Investigation of noise variables Reduced costs and improved efficiency Experimental Design Many industrial processes in chemistry and engineering are not optimised or suffer from seemingly random variation. Researchers have found it difficult to make necessary improvements due to the number of tests required. Experimental design offers a method of getting the maximum information from the minimum number of tests. In addition, valuable information can be gained on interactions between variables - interactions are often very important, and may be missed when investigations are carried out changing one variable at a time. Taguchi and Robust Designs The Taguchi method includes a set of tables that enable main variables and interactions to be investigated in a minimum number of trials. To see how this works, have a look at an example of a Taguchi matrix. The Taguchi technique places a great deal of importance on the reduction in variability of products and processes; in other words to make products and processes more robust and less susceptible to changes due to outside influences such as raw material variation, temperature, and changes to machines and operators. Improved robustness can often be achieved without major capital expenditure through the use of these techniques. Find out more about robust design. What Information are you looking for?
Interactions can be difficult to interpret. To find out about a new method to evaluate interactions, click here. What is the Taguchi technique? An example of how to use a Taguchi matrix What is a robust design? Do You Need Help? Do you need any assistance in the design of experiments and the improvement of industrial processes? Areas of expertise include: factorial design, fractional factorials, self-directed optimisations, Taguchi method, robustness, analysis of main effects and interactions, and orthogonal arrays. Initial advice and quick queries are free, so if you need any help please do get in touch. Contact: stefan@orszulik.idps.co.uk Tel: 00 44 (0)1235 764208 |
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Email: stefan@orszulik.idps.co.uk |
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