Development of key performance indicators for knowledge management

A global heavy truck development organization is engaged in an aggressive campaign to improve its efficiency, speed, and effectiveness in developing new products. One of the cornerstones of this initiative is knowledge management, which is recognized as a significant challenge in part because so few practical tools exist to help manage knowledge growth. This paper presents the results of a collaborative project to develop key performance indicators (KPIs) for knowledge management in a lean product development context. We present a framework that outlines three key touch points where product development organizations should focus attention in order to encourage rapid knowledge growth and effective knowledge reuse in a project-oriented matrix organization. We then outline the collaborative approach used to develop KPI\u27s for these touch points, along with preliminary results and future work

Set-Based Prototyping with Digital Mock-Up Technologies

Part 3: Tools and MethodologiesInternational audienceA prototype results from the need to verify various qualities of the product at different stages of its development. In set-based design, multiplying prototypes is particularly critical to enable a broad exploration of the design space before committing to a solution. The exploration targets the choice of the best of all viable concepts on one hand but on the other hand also focuses on documenting them to better orient the search during the next attempts. This ultimately contributes to gradually improving the company’s engineering knowledge. According to current aerospace industry practices and considering the set based development paradigm in Lean thinking, an approach to handle multiple prototypes information with Digital Mock-Up (DMU) technologies is forwarded in this paper. This approach postulates that prototyping and testing activities may be supported by a Manufacturing Process Management (MPM) solution with a special use of three key functionalities, namely: Product Data Management (PDM) and MPM instantiation, MPM links, and Configuration Management (CM). These aspects are essential when handling multiple prototyping sets along with their test results