lean research group

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Taqui Shaik

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Research Project Outline

The research that has examined the cost estimating and cost modelling research literature with due emphasis on the methods available for developing cost models at the early stages of product and process development where data from which to develop models is scarce. Shortfalls in existing practices have been identified as well as potential methods of resolving these limitations. Here the work has involved investigating the use of virtual manufacturing and data mining to help resolve the need for high levels of subjective expertise and lack of data from which to develop valid CERs. The research have, therefore, undertook a programme of experiments to derive these new methods, to validate the selected method against a simple mature process where modelling and results are well correlated e.g. milling, and to apply the selected approach to a complex manufacturing process such as Automated Paint Spray, to evaluate complexity issues and validity of cost models generated, and to automate the process of cost model development.