Kunskapsförmedlingen Mathias Johanson
PhD
Project time: 2014 – 2016
Budget: 12 380 000 SEK
Funding: SIP Produktion2030
The SAPPA project is about innovative cloud-based predictive and preventive maintenance systems, improving availability of products and production systems.
The aim of the SAPPA project is to develop, test and demonstrate an innovative cloud-based predictive and preventive maintenance system, improving availability of products and production systems, with a focus on heavy industry applications. The approach is to proactively detect deviations in behavior of products, compared to a simulation model continuously updated with real-time data captured from products in operation, using telematic services and cloud-based analytics. The concept enables the supplier to climb the value chain, compared to traditional hardware-only product offerings, taking greater responsibility for the customers’ productivity. This alters the business roles between suppliers and customers through risk and profit sharing schemes, promoting sustainability through economic incentives. A demonstrator prototype system will be developed for an availability-critical pilot application, consisting of a process industrial production system powered by hydraulic motors. As an additional benefit, the operational data collected from products in use creates a valuable information asset supporting knowledge driven product development, whereby next generation products are improved and the time to market for new products is reduced.
2014 – 2017
2017 – 2020
2015 – 2016
2014 – 2018
2017 – 2018
2016 – 2018
2014 – 2017
2017 – 2021
2016 – 2016
2015 – 2017
2015 – 2016
2016 – 2016
2015 – 2016
2016 – 2017
2015 – 2016
2015 – 2015
2015 – 2016
2014 – 2016
Reduced lead times and improved performance for tooling through innovative manufacturing and assembly strategies as well as optimised design enabled by use of additive manufacturing (AM).
2016 – 2018
2013 – 2017
2016 – 2016
2016 – 2017
Tooling constitutes a significant part in the economical investment of the hot stamping process. Significant benefits in production economy and environmental benefits can be attained by improving the tribological performance in hot forming operations of automotive components. The main idea of this project is to create tailored tool surfaces on dies made from cheaper and easier to manufacture tool steel for the hot stamping of ultra-high strength steels.
2015 – 2018
2017 – 2018
2017 – 2018
2016 – 2018
2017 – 2018
The project aims to digitalize established tools for production disturbance handling.
2018 – 2020
Every manufacturing company measure and control production performance with a system of KPIs. The aim of the SMART-PM project is to investigate and demonstrate new ways of collecting data, transforming data to information and introducing new decision tools based on valid information and economic models of the production systems.
2018 – 2020
2017 – 2019
2017 – 2018
2014 – 2014
2014 – 2017
2015 – 2016
2015 – 2016
2015 – 2018
With globalization and other megatrends as demographic changes and climate change, more knowledge is needed regarding production in an international perspective. PADOK Study Visit in India 2016 have given an increased knowledge regarding how production is conducted in India, some of the challenges producing companies in that region is facing and how Swedish companies interested in investing in production in India could act to establish themselves in the region.
2016 – 2016
2017 – 2018
2013 – 2016
2016 – 2019
2016 – 2016
2014 – 2017
2017 – 2018
Increased sustainability and cost effectiveness through improved strategic decision-making in production issues based on new metrics system for production and development.
2015 – 2017
2014 – 2017
2015 – 2016
2013 – 2017
Develop and validate predictive maintenance algorithms based on AI and ML. The vision is failure free production
2019 – 2022
2015 – 2016
2013 – 2016
2017 – 2018
RemProLife aims at improving the use of life-cycle information to achieve more efficient remanufacturing from economic and ecological perpectives.
2013 – 2016
Prediktivt underhåll med internet-of-things och digitala tvillingar
2021 – 2021
The project focuses on economic and environmental sustainability and increased industrial competitiveness.
2017 – 2018
2015 – 2016
2017 – 2018
2015 – 2016
2014 – 2017
2015 – 2015
2017 – 2020