Abstract
This paper presents a structured model to help the user choose the most appropriate statistical technique to solve problems relating to the product development process. Starting from a well-defined problem, the model helps the user convert the problem into statistical objectives. Based on those objectives, the decision model then defines a sequence of structured questions whose responses lead to the selection of the statistical technique. The sequence of questions is supported by examples, detailed explanations of the concepts involved, links to sites associated with the case, and a glossary of statistical terms. Statistical techniques are support tools for the New Product Development Process (NPD) and are used in various activities of this process. The main result expected from the use of the model is the dissemination of the application of statistical techniques during the NPD process in companies, especially small and medium companies, where this type of support is most lacking. To enable companies to use and test the structured model, a decision support system will be developed for free access on the Internet.
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© 2007 Springer-Verlag London Limited
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Echeveste, M.E., Amaral, C.S.T., Rozenfeld, H. (2007). A support tool for the selection of statistical techniques for industrial product development and improvement processes. In: Loureiro, G., Curran, R. (eds) Complex Systems Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-1-84628-976-7_28
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DOI: https://doi.org/10.1007/978-1-84628-976-7_28
Publisher Name: Springer, London
Print ISBN: 978-1-84628-975-0
Online ISBN: 978-1-84628-976-7
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