Streamlined Modeling and Decision Support for Fact-based Production Development (StreaMod)

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)

Docent vid Chalmers, Industrial and Materials Science, Production Systems

Jon Bokrantz

Doktorand vid Chalmers, Industrial and Materials Science, Production Systems

Liang Gong

Doktorand vid Chalmers, Industrial and Materials Science, Production Systems

Maheshwaran Gopalakrishnan

Doktorand vid Chalmers, Industrial and Materials Science, Production Systems

Torbjörn Ylipää

Tekniklektor vid 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 Car Corporation

Gothenburg, Sweden

Volvo Technology

Gothenburg, Sweden

Funding

VINNOVA

Funding years 2013–2016

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Production

Areas of Advance

More information

Latest update

2016-08-24