Expected results is related to demonstrating the logic of and demands on (1) future ERP-systems and (2) work organization that will enable both flexibility of manufacturing and a human view on flexible hours and task depending on skills and knowledge of the manufacturing line. The results can be applicable in the manufacturing industry and have potential to provide great value to the Swedish industry.
The project aims a digitising the temperatures during the casting of rolls and suggest actions to the casting manager to reduce the variability of the process
The aim of the project is to demonstrate utilization of additive manufacturing for copper-based products and process solutions and faster adaption
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.
The project will develop a concept for production workers to easily build simple low-cost IoT-aided improvement solutions at the production shop floor.
To demonstrate the new technology with robots that enable Swedish companies to develop innovative new products for automated production o maintenance.
The project aims at facilitating the implementation of Smart Maintenance through extended collaboration within the maintenance community.
The main idea of the project is to investigate and demonstrate how the digitalized and proven systems and technologies of the Process Industry, like CPAS, can be used in DM to improve competitiveness and drive growth
The project aims to digitalize established tools for production disturbance handling.
DiLAM strengthens the competitiveness of the Swedish manufacturing industry by aligning the digital and physical supply chains for additive manufacturing of large parts.
Målet var att förstå de utmaningar som den svenska och japanska industrin står inför studiebesök.
Improve the efficiency of sawmills, including improved monitoring and maintenance of the production line. This by sharing data via digital twin between the actors in the maintenance chain.
Method to understand how to automate information handling to get more efficient handling of production deviations.
The project aims to reduce the lead time for sheet metal die tryout by optimizing the value stream and develop methods for numerical compensation of die and press deflections.
The project aims at radically improving the working environment and the employee security within the heavy manufacturing industries by using and adapting the latest technology for low and ultraprecise positioning and decision support systems. The target is to increase security and safety by adapting the decision-support and positioning system for the heavy manufacturing industries.
The paintshop is often a bottleneck in production and the processes are fine-tuned based on testing on numerous prototypes. To meet the future demands there is a great need to improve the product preparation process. The aim is to develop methods, techniques and software, and supporting measurement methodology, for simulation of paint curing in IR and convective ovens. The goal is to assist the industry to further develop and optimize their surface treatment to be more energy and cost efficient; to have a shorter lead time in product development; and to give a higher product quality.
The overall goal of DiSAM is to create a unique test AM Hub in Sweden for metal and polymer based additive manufacturing processes.
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).