Since the dawn of ERP systems, the sole role of machine generated data was to enable the proper execution of the supply chain. With the ongoing adoption of cyber-physical systems and the Internet of Things, machine-to-machine communication enables collaborative shop floor planning and machine generated (big) data presents a value in its own right. This paradigm shift calls for new Smart ERP systems that make use of big data in (predictive) planning throughout the entire value chain and create the transparency for improved governance, risk, security, and compliance management.
by Dr. Frank Schoenthaler, PROMATIS Group Ettlingen (Karlsruhe TechnologyRegion), Germany
Worldwide, economic activities are driven by information and communication technologies. These also penetrate into all areas of life. There is no doubt: We are not only heading for the digital economy, but for a digital world. So the question is, how do we want to live, learn and work in this world?
In their bestseller “The Second Machine Age”, MIT’s Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—vividly reveal their vision of the technological, social and economic changes that we will need to adjust to.
In the framework of their high-tech strategy, the German Government is looking into questions on the future of the digital economy and society. The following areas of action were identified: Industry 4.0, Smart Services, Smart Data, Cloud Computing, Digital Networking, Digital Science, Digital Education, Digital Life Environments.
In the following, potentials of Industry 4.0 are compiled and described:
The Industry 4.0 networks people, machines, and objects in the Internet of Things and paves the way to new production concepts and fully integrated, digital value chains. Traditional ERP systems are now reaching their limits in terms of planning and managing corporate resources. We now need Smart ERP systems, which are available as software services from the cloud. In a phase where the digital transformation is becoming a reality in more and more companies, a new dimension of digitization opens up: Now objects and machines are digitally accessible at any time and from anywhere via sensors and SIM cards. The usage and the network of autonomously acting CPSs tap new potential for the automation of production and logistics processes. But above all, they create the conditions for new processes and services.
Keyword: social manufacturing and logistics.
With the claim of a technological infrastructure, in which all electronic devices can communicate with each other, the IoT is a new paradigm with applications in all areas of life.
Prosumers (producer + consumer) can connect to the network and use big data, analytics, and algorithms to accelerate efficiency, dramatically increase productivity, and lower the marginal cost of producing and sharing a wide range of products and services to near zero, just like they now do with information goods. And in view of the rapid pace with which digitization penetrates into all areas of life, it becomes clear how important not only technological questions are, but also considerations regarding privacy and ethical aspects in terms of data collection (sensing), storing and processing. And where are the limits for the application of artificial intelligence? Or in other words:
What degree of autonomy do we want machines to really have?
A current example is autonomous driving, whereas now people rather talk about partially autonomous driving, although the majority of the technological challenges for full autonomy have already been solved. Undoubtedly the industrial application of the IoT is already the most advanced.
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