Project time: 2018 – 2020
Budget: 5 410 000 kronor
Funding: SIP Produktion2030
Method to understand how to automate information handling to get more efficient handling of production deviations.
Objectives
Production and logistics are highly complex due to dependencies among many interacting systems, dynamics, and frequent changes. A consequence is frequent deviations from production plan despite systematic work to increase process stability. The project is aimed at supporting the handling of deviations and re-scheduling of tasks by solutions that automate relevant information flows and processes. The project develops a model framework that identifies and describes needs for support, information and automation, and a methodology that guides companies to specify their needs.
Impact and Results
Competitiveness is expected to increase as result of more automated and efficient handling of deviations within production. The expected impact from implementing such information automation is faster reaction and flexibility to deviations and changes of production plans, as well as reduced propagated effects. The methodology can give companies a good base for future investments that employ technological solutions, thereby increasing automation use. Furthermore, increased automation will give access to relevant information and increase knowledge of events.
Approach
Framework and methodology is formed by experiences from case studies in industrial partner companies, which cover different needs and aspects. The intention is to enhance the state-of-art and provide important solutions for increased digitalization and information automation. A crucial part of the project is the knowledge dissemination of solutions to Swedish industry, especially SMEs. The 30-month project is lead by Swerea IVF together with Chalmers Univ. of Techn., Royal Inst. of Techn., Brogren Industries, Federal-Mogul, Volvo Penta, Tyri Lights, and Marcus Komponenter.
SCARCE will investigate the needs, possibilities and obstacles in value chains up- and down-stream from a focal SME company. SCARCE will explore what data to measure and visualize, and how this data can enable more automated execution, as well as, more dynamic and proactive planning of production capacity and material flows across the companies in the value chain. In addition, we will study organizational capabilities, especially the future human role, for implementing and managing in a digital and data-driven value chain.
2019 – 2019
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