Streamlined Modeling and Decision Support for Fact-based Production Development (StreaMod)
Research Project, 2013
– 2016
Virtual manufacturing tools, e.g. advanced data analysis and simulation of production flows, are important for cutting lead-times in product realization projects and for increasing efficiency in production systems. VCC for example, aims to cut the lead-time from program start to delivery of first vehicle to 20 months and reaching an 85% OEE in running production. However, most time in simulation studies (70%) is “wasted” in data collection and experimentation. Therefore, the purpose is to reduce project time and enable more detailed analyzes increasing throughput (10%) and reducing energy consumption (50%).
The goal is to integrate automated data management, model generation and optimization to an efficient decision support system for production/maintenance engineers. The uniqueness is the seamless integration between data sources and simulation models using Intelligent Data Points and Data Fusion. Project results will be monitored and communicated using two industrial demonstrators.
Project leaders: Dan Lämkull, Volvo Cars & Anders Skoogh, Academic leader
Participants
Anders Skoogh (contact)
Chalmers, Industrial and Materials Science, Production Systems
Jon Bokrantz
Chalmers, Industrial and Materials Science, Production Systems
Liang Gong
Chalmers, Industrial and Materials Science, Production Systems
Maheshwaran Gopalakrishnan
Chalmers, Industrial and Materials Science, Production Systems
Torbjörn Ylipää
Chalmers, Industrial and Materials Science, Production Systems
Collaborations
Siemens Industry Software
Koln, Germany
University of Skövde
Skövde, Sweden
Virtual Manufacturing Sweden AB
Gothenburg, Sweden
Volvo Cars
Göteborg, Sweden
Volvo Group
Gothenburg, Sweden
Funding
VINNOVA
Project ID: 2013-04726
Funding Chalmers participation during 2013–2016
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Production
Areas of Advance