Industry 4.0, digitization, and Internet of Things enable companies to react quickly and flexibly to market changes. The objective is the production of customized products at the cost of a mass-produced product. The widespread entry of cyber-physical systems enables a networking of all entities. The introduction of cyber-physical systems in production and logistic systems dissolves existing rigid structures and as a result versatile cyber-physical production systems occur. To support the flexibility of the cyber-physical production systems, the production supply needs to be adapted. For this reason, this paper proposes a novel universal production supply concept. This concept introduces a decentralized controlled supply. It is executed by several cyber-physical system entities, which are represented by software agents. These agents negotiate autonomously with each other. The novel concept was implemented in a research lab and evaluated quantitatively and qualitatively. For the quantitative evaluation, the efficiency of the novel concept is evaluated and compared with a kanban supply. An innovative key performance indicator system called process status indicators evaluates the efficiency. The result of this indicator system states that the novel concept is more efficient than the kanban supply.
Abstract-The purpose of the article is to outline the futuristic vision of Industry 4.0 in intra-logistics by creating a hybrid network for research and technologies thereby providing a detailed account on the research centre, available technologies and their possibilities for collaboration. Scientific challenges in the field of Industry 4.0 and intra-logistics are identified due to the new form of interaction between humans and machines. This kind of collaboration provides new possibilities of materials handling that can be developed with the support of real-time motion data tracking and virtual reality systems. These services will be provided by a new research centre for flexible humanmachine cooperation networks in Dortmund. By the use of various reference and experiment systems various real-time scenarios can be emulated including digital twin simulation concepts. Big data emerges as an important paradigm in this research project where all systems are made flexible in terms of networking for all the systems to consume the data produced and also to combine all the data to arrive at new insights using concepts from machine learning and deep learning networks. This leads to the challenge of finding a common syntax for inter-operating systems. This paper describes the design and deployment strategies of research centre with the possibilities and the design insights for a futuristic Industry 4.0 material handling facility.
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