Project time: 2019 – 2022
Budget: 8 280 000 kronor
Knowledge is needed that can support design and control of automation in material handling systems.
FAKTA has the purpose of supporting design and control of high-performing automated material handling systems displaying a high level of flexibility. This helps Swedish industry to realise the improvement potential that automation holds. Kitting and transport are in focus, but the interfaces towards warehouse and assembly are also very important parts of the project. The project also supports economic, social, and environmental sustainability. The project consortium comprises both suppliers and users of automation solutions, as well as two academic parties. Demonstrators will be created in lab environment, functioning as arenas for experiments in which promising technologies can be evaluated in a regulated environment. The most mature technologies and system links that will be evaluated and developed in a lab environment will also be applied in pilot implementations within the companies participating in theproject. FAKTA will generate a methodology for the design of automated material handling systems thatlink sub-processes within warehouse, kitting/picking, transport, and assembly. FAKTA will alsoprovide insight into the application of new technology, including e.g. robot picking utilising vision technology. In the long term, the project will contribute to an increased utilisation of automation in materials handling systems, which will in turn enable improvements in flexibility, cost efficiency, reliability, delivery lead time, and human factors. FAKTA contributes mainly to the goals of supporting resource efficient production with a high level of competitiveness.
In material handling processes, such as kitting and sequencing, which are used in the automotive industry to supply the assembly with a wide and growing range of component variants, the picking information system is central design aspect. Given the developments in digitization, the purpose of this concept study is to evaluate the potential of digital technology to support materials handling work in production systems.
2017 – 2017
Methods for 3D scanned digital twins for efficient development and installation of production facilities at SMEs
2018 – 2021
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.
2017 – 2018
Digi-load focuses on to enhance the competitiveness in the Swedish surface treatment industry through automation and digitalization
2017 – 2020
This project intends to design and develop a new test methodology for evaluation of power flowability in powder bed fusion (PBF) systems. The test apparatus will simulate powder flow in PBF machines and can be used for optimizing the powder layering behavior for potential utilization of alternative powder qualities. Additionally, this equipment creates opportunities for both powder producers and AM part manufacturers to minimize powder waste and maximize material utilization.
2017 – 2018
To demonstrate the new technology with robots that enable Swedish companies to develop innovative new products for automated production o maintenance.
2017 – 2020
Maintenance in existing plants is becoming increasingly important, where predictive maintenance has become an emerging technology. The use of decision support tools contributes to environmentally and economically sustainable production. Within this project, different types of digital twins have been designed and evaluated. Specifically, new predictive model types have been tested in two different industrial case studies; a heat exchanger at SSAB and a profiled header at Svenska Fönster AB.
2017 – 2018
Hybrid joints, combination of gluing and mechanical joining are highly demanded where several materials are to be used and assembled. HJT therefore focuses on the smart factory's ability to create flexible production with simulation and programming in a digital twin that combines the latest technology for bonding, assembly and mechanical joining, rheology based simulation and automated collision-free planning. The projects goal is to focus on the whole hybrid joining process and to establish a testbed for hybrid joining as a resource for Swedish Industry.
2017 – 2020
The aim of the ARR project is to develop the potential of automation in repairs and remanufacturing
2018 – 2021
SCARCE II will develop a demonstrator to show how SMEs and associated value flows can increase efficiency, competitiveness, sustainability and internal collaboration through digitalisation. The goal is to show the value of a new digital solution. SCARCE focuses on two subcontractors in the value chain linked to Scania and Volvo. The demonstrator is a cloud-based solution that connects three test beds in the industry; Stena Industry Innovation Lab, Chalmers, RISE IVF lab, Mölndal and KTH's test bed in Södertälje with the help of Siemens, AFRY, Qbim, Virtual Manufacturing and EQPack.
2020 – 2022
A research collaboration between Luleå University of Technology and the company RGS 90 will provide new treatment methods for three common but problematic types of waste.
2015 – 2019
MIDWEST will develop mechanisation solutions for Post-weld treatment methods of welded components.
2020 – 2023