Applying Design Analytics to Understand Engineering Change Request Information
Licentiatavhandling, 2018

Large complex system development projects take several years to carry out. Such projects involve hundreds of engineers who develop tens of thousands of parts and millions of lines of code. During the course of a project, many design decisions often need to be changed due to the emergence of new information. These changes are often well documented in databases but, due to the complexity of the data, few companies analyze engineering change requests (ECRs) in a comprehensive and structured fashion. ECRs are important and plentiful in the product development process in order to enhance a product.
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

Design Analytics

Engineering Change Request

Markov chain.

Product Development

Virtual Development Laboratory (VDL), Chalmers
Opponent: Dr Petter Andersson, GKN, Sweden

Författare

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

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Annan maskinteknik

Programvaruteknik

Utgivare

Chalmers tekniska högskola

Virtual Development Laboratory (VDL), Chalmers

Opponent: Dr Petter Andersson, GKN, Sweden