Poor quality alone accounts for 10-15% of production costs (source PWC study). Poor quality leads to delays in the process, to losses in production capacity, increased expenditure for testing, a reduction in the quality classification of the products and, as a result, to return costs, reputational damage, lost customers and other downstream costs.
We help you to break down the complex interfaces in production on the basis of data and thus to stabilize quality and processes. Predictive Quality allows you to identify problems before they arise. This saves costs and increases productivity.
„Quality is when the customer comes back, not the goods“
Hermann Tietz, German entrepreneur.
Using our IoT solution Bilfinger Connected Asset Performance (BCAP) as a basis, data can be combined in a targeted manner and enable quality-oriented process optimization and predictive analytics.
In addition to the technology and domain expertise applied, the key factor in digital innovations is proactive change management. A new solution must ensure that all stakeholders are on board. BCAP offers role-based solutions for all relevant levels.