Extracting knowledge for product development engineers
Deadline
Challenge
We recognized a crucial need in companies actively involved in the functional design of mechatronic products – the need for better capturing and sharing of design knowledge.
Designing and developing mechatronic products is a complex process. Product development and design engineers navigate various data sources, utilize diverse methods such as simulations and experiments, and make critical decisions. However, the documentation of this intricate product development process is currently constrained, hindering companies from efficiently extracting knowledge from previous designs to support new product development cycles.
This project aims to address this challenge by enhancing the capture and organization of knowledge from both past and ongoing designs. This improvement will significantly benefit product development engineers, offering valuable insights and streamlining their decision-making processes. By overcoming these limitations in knowledge extraction and sharing, our project not only optimizes current practices but also empowers engineers with a more informed and efficient approach to product development. Participate in ths project and experience how we're revolutionizing knowledge sharing in mechatronic product design!
Project goal
Our primary goal is to develop an integrated framework, equipped with industrially relevant tools, to capture and share design knowledge seamlessly during the product development and design of functional mechatronic products.
Within this comprehensive framework for New Product Development (NPD) processes, we are building a sophisticated model of the design process. This involves a combination of process discovery techniques, including traditional methods like observations, interviews, and workshops for employee involvement, alongside automatic process discovery (process mining) for structured data and Natural Language Processing for unstructured data.
Moreover, our research is dedicated to establishing a Formal Product Model Ontology. We achieve this by reusing existing ontologies and employing ontology engineering methodology to accommodate diverse design iterations. The ultimate objective is to capture the execution of the design process and establish a knowledge graph/object-centered event log that links it with design decisions and product model instantiation.
This innovative framework is designed to learn from the captured knowledge, actively supporting product development engineers and designers throughout the design process. From providing static support, such as pointing to relevant documents, to dynamic support, such as suggesting the next step in the design process, our aim is to enhance and streamline the entire product development journey.
Would you also like to participate in this project?
EXKNOP_IRVA is an industrial research project. We are looking for companies that want to be part of the user group and work with us to valorise the project.
Interested? Fill in the form below and we will contact you as soon as possible.
