Applying Design Analytics to Understand Engineering Change Request Information
This thesis sets out to explore the growing need of product developers for data expertise and analysis. Product developers are increasingly looking towards analytics for improvement opportunities within business processes and products. For this reason, we look at the three components necessary to perform data mining and data analytics: exploring and collecting ECR data, collecting domain knowledge towards ECR information needs and applying mathematical tools for solution design and implementation.
Results show two software tools including visuals of ECR text mining and design structure matrix. The tools were evaluated using industrial data showing patterns and improvement for products and process. Results also show a list of engineering information needs towards ECRs. New information derived with data mining and analytics can thus support product developers in making better decisions for new designs/re-designs of processes and products that lead to robust and superior products.
Design Structure Matrix
Engineering Change Request
Ívar Örn Arnarsson
Chalmers, Industri- och materialvetenskap, Produktutveckling
Design Analytics is the Answer, But What Questions Would Product Developers Like to Have Answered?
21st International Conference on Engineering Design, ICED 2017, Vancouver, Canada, 21-25 August 2017,; Vol. 7(2017)p. 71-80
Paper i proceeding
Towards Big-Data Analysis of Deviation and Error Reports in Product Development Projects
Proceedings of NordDesign 2016, Trondheim, Norway,; (2016)p. 83-92
Paper i proceeding
ANALYSIS OF ENGINEERING CHANGE REQUESTS USING MARKOV CHAINS
Produktionsteknik, arbetsvetenskap och ergonomi
Chalmers tekniska högskola
Virtual Development Laboratory (VDL), Chalmers
Opponent: Dr Petter Andersson, GKN, Sweden