Atlas Copco IAS links joining technologies with data-driven services for maintenance, quality, and process optimization. Together with Fraunhofer IPA, a feasibility analysis in the form of a stress test was carried out on the services developed. This ensures technical, organizational, and economic feasibility and increases potential.
Atlas Copco IAS develops high-precision dispensing technologies and adhesive applications, self-pierce riveting and flow drill fastening solutions. These are combined with data-driven services for maintenance, quality, and process optimization, resulting in intelligent joining technologies that predict errors and detect quality problems autonomously. Realizing this is a challenge that requires expertise in manufacturing technology, computer science, service engineering and data analytics. Together with Fraunhofer IPA, a stress test was carried out on the services developed to ensure technical, organizational, and economic feasibility as well as to maximize potential.
The test reveals strengths and weaknesses with the aim of identifying potential for improvement. The Fraunhofer IPA experts verified the feasibility of the solution and searched for weaknesses. Among other things, they took a close look at the IT architecture, user interface, data processing concept, cloud connection and customer interface. With the help of a business model, they were able to map and examine the marketing concept and organizational implementation. Based on this, potential for improvement was derived, and possible courses of action were identified by means of trend-setting practical examples. In a final step, the experts from Atlas Copco and Fraunhofer IPA refined the solution in joint workshops. The possible course of action identified now serve as a basis for management decisions.
“The fresh perspective of the Fraunhofer experts enabled us to recognize completely new potential in our service concepts.”
Stephan Boch, Business Manager Data Driven Services