13 research outputs found

    Testing in the incremental design and development of complex products

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    Testing is an important aspect of design and development which consumes significant time and resource in many companies. However, it has received less research attention than many other activities in product development, and especially, very few publications report empirical studies of engineering testing. Such studies are needed to establish the importance of testing and inform the development of pragmatic support methods. This paper combines insights from literature study with findings from three empirical studies of testing. The case studies concern incrementally developed complex products in the automotive domain. A description of testing practice as observed in these studies is provided, confirming that testing activities are used for multiple purposes depending on the context, and are intertwined with design from start to finish of the development process, not done after it as many models depict. Descriptive process models are developed to indicate some of the key insights, and opportunities for further research are suggested

    An Adaptive Process Model to Support Product Development Project Management

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    A new method for measuring process flexibility of product design

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    International audienceProcess flexibility enables product designers to accommodate changing requirements in a timely and cost‐effective way. However, in order to effectively guide process flexibility in terms of investment in product design, one must be able to objectively measure process flexibility. Hence, this paper introduces a new quantitative method to measure the process flexibility of product design. Instead of directly measuring the available process flexibility, this method introduces a surrogate value (i.e., the reduced project cost resulting from process flexibility) to indirectly measure process flexibility, with consideration of requirement variations. Then, the relationships between process flexibility and impact factors of requirement variations are investigated based on the proposed method. A set of simulation experiments indicates that the method proposed and related propositions are also suitable for complex product design
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