data management

Abstract Smart manufacturing refers to the intensified collaboration of  machines, products, and people throughout the manufacturing and the supply  chain. This facilitates innovative products, services, business models, and  processes. Smart manufacturing is premised on emerging technologies such as cloud computing, mobile computing, the Internet of Things, data analytics, and  artificial intelligence. A plethora of companies struggles with the  implementation of corresponding applications. In research and practice, we see  general data management approaches with primary attention on building  architectures that are not tailored to fit a particular domain/ application  scenario. However, a robust data management concept is vital, as smart  manufacturing decisively depends on data. To address this substantial deficit, we conduct a comprehensive literature review, an expert workshop, and semi-structured expert interviews with one of the leading German automotive ...

The need to sometimes respond very quickly to changes requires companies to have a high degree of flexibility and speed of reaction. Application system architectures, which usually consist of old and self-developed systems, often do not allow companies to meet these requirements. However, investment funds for new software are limited, so priorities must be set when it comes to replacing legacy systems. An adaptability analysis is an efficient analysis method for planning the renewal of the application system landscape. This article describes the procedure and results of an adaptability analysis, using the example of an internationally active automotive supplier.