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Process Automation for Discrete Manufacturing Excellence - PADME

Reference number
Coordinator ABB Power Grids Sweden AB - ABB Control Technologies AB
Funding from Vinnova SEK 7 970 200
Project duration May 2017 - December 2019
Status Completed
Venture The strategic innovation programme for Production2030

Purpose and goal

The main idea of PADME is to investigate how the digitalized and proven systems and technologies of the process industry can be used in discrete manufacturing to improve cycle time and productivity. The project has focused on gathering and visualizing real-time data from systems and equipment in the production in a common platform to get a comprehensive picture of the ongoing production and evaluated the business value in this. The project has also evaluated simulation to optimize dispatching sequences and proposed a method to assess the digital maturity level within the factory.

Expected results and effects

The result is interesting, and the conclusion is that there is great potential in gathering production data in a common platform. The project has built digital twins in real time in a Collaborative Process Automation System (CPAS) where information can be made available to different groups of employees at the factory and contribute to shorter stops, higher quality etc. This in turn leads to increased productivity and lower costs. With mathematical planning and simulation, cycle times can be further reduced. Digital maturity analysis is done before starting for best results.

Planned approach and implementation

ABB Industrial Automation together with ABB Robotics has developed a test system (CPAS) at a production line at ABB Robotics in Västerås to evaluate the concept. In parallel, RISE has investigated mathematical planning and simulation modeling techniques to improve cycle time at the same production line. MdH has devised a model for assessing digital maturity with respect to the possibility of using CPAS logic in discrete manufacturing and Level 21 has identified use cases for CPAS in discrete manufacturing and evaluated their business values.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 3 February 2020

Reference number 2017-02255

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