The research conducted within the research programmes and initiatives in product and production development continuously results in new projects and findings. The projects are run in collaboration between universities, institutes and companies with great importance for Swedish industry. Here you can read more about ongoing and completed projects.

Emerging digital technologies and their applicability as picking support in materials handling


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.

Variation Prediction and Source Identification for Zero-defect Machining Line


In multi-stage machining, errors or variations in machined part features propagate downstream from process to process through the entire machining line. The objective of the project is to enable achieving a zero defect production by predicting and controlling variation and their propagation in multi-stage machining. This demands capturing the relations between variations and their sources in a multi stage machining. The project activities will be based on three industrial cases at Scania, LEAX AB, and GKN. The cases are meant to ground the already proven state of the art concepts in variation modelling, data analytics, measurement, precision pallet system, and simulation in real industrial applications. The application area of the project result covers manufacturability analysis, tolerance analysis, process planning as well as quality assurance strategies. The results and the demonstrations will be of interest to SME and large companies having multi stage machining.

Virtual PaintShop – Simulation of Oven Curing



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 aim is that the commissioning time for the oven curing processes of new models is reduced by 25%. Furthermore, the environmental impact will be reduced since significantly less prototypes need to be physically tested, and the process optimization aims to reduce the energy requirement in the ovens by 10%. A more uniform curing will improve product quality, reduce thermal deformation and stresses, and also yield a better work environment.