Back to Projects

Reduced Lead Time through Advanced Die Structure Analysis

Sheet metal forming dies are advanced products under massive global competition. The time to develop, produce and run-in the dies also constitutes an important part of the time to market for new vehicles. Therefore, the project aims to reduce the lead time by improving and optimizing the value stream, and introducing new research results, developed partly by industrial PhD work and Master Projects.

The lead time will be shortened by improved communication, geometry assurance and new methods tor numerical analysis or the tool design that will drastically reduce the try-out time.

Finally, the influence of the machine dynamics on the forming processes will be studied both physically and numerically. This work will lead to proposals for amendments in corporate standards and communication, as well as industrial guidelines and education for academic and industrial individuals.

Project manager

Participating researcher(s)


Die Manufacturing, Digital Methods, Digitalization, FE analysis, Lead Time, Metal forming, Provider Network, sheet metal dies, sheet metal forming, structural analysis, supplier collaboration, Supplier Interaction, Supply chain

Similar projects

Sensible Value Chain: Material Flows, Roles and Circular Economy – SCARCE


Circular Economy, Digitalization, Value Chain

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.

Virtual PaintShop – Simulation of Oven Curing


Digitalization, FFI, Simulation

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.

Humle – Human Perspective, Machine-Learning ERP-systems


Digitalization, Flexible production

This project aims to contribute to the development of future ERP-systems. The project will explore how to offer work, redefine work roles and challenge companies to make use of advanced systems support and the technology within and around these. Overall, the project aims to contribute to the development of both the next generation of ERP-systems and a complementary change in the way firms see upon work organization, so that technology can support and meet the needs of the humans within organisations rather than enforcing structures upon them.

Positioning technology for the heavy manufacturing industry


Automation, Communication, Digitalization, Security, Working Enviroment

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.