Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing.
Industry 4.0 creates what has been called a "smart factory". Within the modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions. Over the Internet of Things, cyber- physical systems communicate and cooperate with each other and with humans in real time, and via the Internet of Services, both internal and cross-organizational services are offered and used by participants of the value chain.
Modern information and communication technologies like Cyber-Physical Systems, big data analytics or cloud computing will help early detection of defects and production failures, thus enable their prevention, increase productivity, quality, and agility benefits that have significant competitive value.
Big Data Analytics consists of 6Cs in the integrated Industry 4.0 and Cyber Physical Systems environment. The 6C system comprises:
In this scenario and in order to provide useful insight to the factory management and gain correct content, data has to be processed with advanced tools (analytics and algorithms) to generate meaningful information. Considering the presence of visible and invisible issues in an industrial factory, the information generation algorithm has to be capable of detecting and addressing invisible issues such as machine degradation, component wear, etc. in the factory floor.
WKB & Partners know the end to end processes from high end SAP and Microsoft ERP down to the TTL level electronics parts. Industry 4.0 now is just the next evolution step for automation in industrial production. Many SAP consultancies have great Manufacturing Execution Solutions ready with variations as wide as the diversity of industrial production. We bring a team with 30 years' experience which started with true hardware and electronics design and then continued with designing interfaces for the machines where our robots and micro controllers where built in and eventually ended up in collecting the data from the machine in a network what we now call the Enterprise Service Bus to deliver the data in a prepared and filtered manner to SAPERP.
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