Theme | Industry 4.0, Artificial Intelligence |
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Project title | Acquisition and use of life-cycle knowledge for product innovation (LeWiPro) |
Project duration | 01.01.2013 – 30.06.2015 |
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Press release |
Publications about the project
An analysis of lifecycle data offers the potential to identify product weaknesses and starting points for product innovations. The paper describes a concept to analyze lifecycle data using predefined analyses and interactive searches. Moreover, a concept to integrate the results of the data analysis into an existing software environment is presented.
data-mining, life-cycle-data, data analysis, knowledge akquisition
The systematic analysis of life cycle data provides the potential to identify weaknesses of current products and starting points for product innovations. This paper presents a tool for an automated analysis of life-cycle data and describes the necessary steps of a data analysis. In particular, the merging of data from different systems, the pre-processing of raw data, the data analysis and interpretation are explained. In this context, the pre-processing of free text is described. Moreover, two models for an automated analysis of life cycle data are introduced. Finally, the implementation of this concept into a software tool is described.
software tool, lifecycle, data analysis, data mining, knowledge deployment
An analysis of lifecycle data offers the potential to identify product weaknesses and starting points for product innovations. The paper describes a concept to analyze lifecycle data and declares which partial steps are necessary to collect, preprocess and analyze the data.
software tool, lifecycle, data analysis, data mining, knowledge deployment
Innovative developments often result from the knowledge generated in the lifecycle of existing products. Following this approach in a current research project engineers of IPH develop methods and tools for the acquisition and utilization of knowledge from the entire product lifecycle.
product lifecycle, knowledge management