Robust Design Methods (RDM) have become a powerful concept to design more reliable products. However, even though there are many tools available and have been discussed widely in academia, there is still confusion and doubts in the industry about the use and effectiveness of these methods. Mostly the problems experienced in industry are related to a poor application or knowledge of the methods by the companies (Hasenkamp, et Al, 2007). Based on the authors' experiences in working in development engineering, it has shown that also the phase of application of the specific tools and methods and what those can deliver are not always clear. Expectations to the output are sometimes misleading and imply the incorrect utilization of tools. A categorization of tools, methods and techniques typically associated with robust design methodology in the literature is provided in this paper in terms of purpose and deliverables of the individual tool or method. The majority of tools aims for optimizing an existing design solution or give an indication of how robust a design is, which requires a somewhat settled design. Furthermore, the categorization presented in this paper shows a lack in the methodology for tools in the area of robustness prediction in early design. This categorization clarifies the underlying premises and deliverables of RDM tools for professionals working with design processes and can serve as guidance for an organization how to structure its development process and how to make most efficient use of the existing tools. When to apply, what tool or method, for which purpose can be concluded. The paper also contributes with a framework for researchers to derive a generic landscape or database for RDM build upon the main premises and deliverables of each method.
Proceedings of the First Internatinal Symposium of Robust Design 2014, 2014, p. 123-133
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1st International Symposium on Robust Design, 2014