Learning objectives
To address the basics of experimental design and related statistical techniques. To enable the learning of sampling procedures and their use in product and process control.
Prerequisites
'Mathematics and Statistics' is a preliminary course
Course unit content
<br />Experimental Design.<br />Scope and applications of experimental design. Use of ED in planning and running of trials and analysis of data. Factors, levels, treatments, blocks. Designing the test. Main effects and interactions. Fractional factorials; alias structure or confounding. Response surface methodologies; central composite design. Optimisation of industrial processes.<br /> Sampling.<br />Scope and applications of acceptance sampling in the food industry. Attributes and variables sampling and related procedures. Calculating the probability of acceptance of a lot. Operating characteristic curve. Acceptance-rejection criteria. Simple, double and multiple sampling. Use of tables; ISO and military standards. Implementing an acceptance sampling plan; determining the sample size. <br />
Full programme
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Bibliography
G.E.P. Box, W.G. Hunter & J.S. Hunter. Statistics for Experimenters. John Wiley.<br />J.M. Juran & A.B. Godfrey. Juran's Quality Handbook. McGraw-Hill International.
Teaching methods
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Assessment methods and criteria
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Other information
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