Digital Complexity Management
How can data be leveraged to manage complexity more effectively and efficiently?
Understand correlations, identify potential for improvement
Rely on facts and figures instead of intuition
React early and in time to dynamic changes in the market.
Take decisions based on all perspectives - from market to production
Individualization, shorter product life cycles and increased customer demands are reflected in rising market and requirement complexity as well as product portfolio complexity. Companies experience the resulting challenges in dealing with this complexity every day. With our data-based approach, complex product portfolios can be visualized within a very short time, weaknesses can be uncovered, and actionable optimization potential can be identified.
External complexity is followed by the appropriate internal complexity. The choice of the right product architecture has a significant influence on the complexity of parts and components. Companies often have an immense number of parts or components that can hardly be analyzed by traditional approaches. Data analytics becomes a key factor and helps to discover unseen patterns and standardization potentials. Potential savings of between 20 and 30 percent are the norm rather than the exception.
Due to the globalization of markets, the production network complexity and value creation complexity in the production network has increased rapidly amongst companies. Numerous production sites with different product portfolios, insufficient specification of plant roles and a lack of standards make it difficult to maintain an overview. The variety of existing system data helps to gain transparency about the footprint and to develop scenarios and migration plans for the focused optimization of the network.
For the first time ever, the application of data-based methods makes it possible to create a so-called "digital twin" of the organization. Based on the digital footprints that employees leave behind when using IT systems, business processes can be reconstructed and the existing process complexity can be analyzed in detail. The organizational structural complexity as well as the growing IT complexity can furthermore be structured in a much more targeted manner through detailled knowledge of the processes.
The number of variants of the new product generation of a commercial vehicle was to be significantly reduced at market launch compared to the predecessor vehicle. Our task here was to support the SE teams in generating ideas and identifying potential, and to ensure that targets were achieved in the shortest possible time.
For selected module assemblies, the existing procedure at an OEM for optimizing the external and internal diversity of variants was to be validated and further potential identified.
In order to be able to profit from growth to the same extent as a premium supplier in the rapidly growing markets of the household appliance industry, it is necessary to realign the portfolio strategy from the customer's perspective.
