Visualization and simulations based on real data are an essential part of network and location planning. These visual representations sharpen the understanding of dynamic contexts in companies and municipalities. They form the basis for new types of business systems or cooperations. Together with EnBW we developed models for the planning of EV charging infrastructure.
One reason for the growing demand for inner-city mobility is the outdated ideal of the functional city with its extreme separation of living, working, and leisure. But cities are rediscovering the value of small-scale neighbourhoods and find attractive solutions to create vital micro-organisms with a local identity, balanced social structure, and short distances. For future-oriented energy concepts neighbourhoods are also playing an increasingly important role. Locally generated energy from different sources is made available in micro-grids. The complexity of these solutions stems from the technical and organizational challenges; as well as the diversity of needs and opinions of the local community.
„For a successful transformation, know-how, co-creation, discourse, and co-decision making at a local level is essential. With our years of experience in guiding and implementing complex products and services, we facilitate such transformation processes.”
The optimization of logistics processes leads to noticeably more comfort and efficiency for everyone. Consumers benefit from clarity and flexibility when it comes to ordering and delivery. For Daimler Vans, we have used scenarios to visualize how autonomous fleets can further simplify our everyday life and unburden the cities. Companies then benefit from cost-effective storage and fleet management. In doing so, logistics companies intercept potential chaos that arises from the value creation chain.
Just as seamless logistics contribute to the healthy organism of a city, networked intralogistics form the backbone of value creation within companies. The digital transformation is moving fast and it is gaining further momentum through machine learning, sensor technology, and automation. Companies in the logistics chain will continue to network even more. Important factors to consider in this context are:
In this way, the processes of the entire logistics chain can be harmonised with the production processes to create predictive, self-regulating systems.
Our transdisciplinary team of engineering, natural and cultural sciences connects the world of numbers and models with social and economic aspects. We support cities and organizations in strategy development, service design and by developing next generation products and services. The future of our cities and the way we do business is more shapeable than ever before. Let us work together to develop livable cities, sustainable mobility, and a better flow of goods.