Using data analytics to extract knowledge from middle-of-life product data

Data analytics needs dedicated tools, which are getting complex. In this paper we summarize the results of our literature research done with special attention to existing and potential future tools. The attention is paid mainly to processing big data, rather than to effective semantic processing of middle-of-life data (MoLD). The issue of...

Recommendation function for smart data analytics toolbox to support semantic merging of middle-of-life data streams

Continuous enhancements of connected products make them able to generate and communicate a huge amounts of middle-of-life data streams to their producers. This affordance also creates a challenge for current data analytics tools unable to keep up with the heterogeneous nature and characteristics of these type of data. Accordingly, a function...

Current State of Applying Smart Materials in Consumer Durables: A Literature Survey

Smart materials have drawn substantial attention and interest in a broad range of applications, due to their unique and superior characteristics. However there is a blurry image over the potential applications of smart materials in consumer durables. This has stalled further research and decision making in initiating the development of consumer...

Application of shape changing smart materials in household appliances: A fragmented and inconsistent uptake

Shape changing smart materials (SCSM) have a wide range of applications, supporting product functions through material features. Surprisingly, their application in consumer durables such as household appliances is not as expected. This phenomenon could be related to a possible SCSM knowledge gap among designers, or unidentified design...