Abstract
The design of production plants in the form of a cyber-physical production system (CPPS) promises rapid adaptability to changing market requirements, high flexibility during production, and robust behavior in the event of failure and offers the possibility of integrating customers into the production process. In contradiction to these advantages, there are both a low penetration and a still low technology readiness level of operational CPPS. This article, therefore, presents a production system for customized beverage bottling, consisting of industrial resources from well-known machine builders and designed as a CPPS through the use of a multiagent system. The premise that all products are to be manufactured in a saleable form should clarify the claim of the CPPS to be classified as an industrial plant. Its functionality is tested through an evaluation based on two use cases with different requirements. This conceptual proof should enable the future practice-oriented investigation of urgent questions from research and industry. As a further result, a complete test method for the development and commissioning of a CPPS, starting with the design phase and ending with a valid reliable production system, is shown.
Highlights
C URRENT production plants usually consist of rigidly interconnected components and have strictly hierarchical and centralized control architectures
In the IT architecture of the RoboFill4.0-Cyber Physical Production System (CPPS) shown in Figure 4, five components are involved: the WebShop (WS), Visualization (VISU), Database (DB), Multi-Agent System (MAS) and Simulation Environment (SIM) / real bottling plant (RF4.0)
The basic requirements and simultaneous starting points are the completed design and a first implementation of the initially independent strands of the MAS and the remaining components of the CPPS, which have an interface with the MAS
Summary
C URRENT production plants usually consist of rigidly interconnected components and have strictly hierarchical and centralized control architectures. While several of successful MAS applications have been installed in the fields of logistics, production planning or scheduling in the past, agent-based control solutions in the field of factory automation have long been unable to leave the status of a prototype or research demonstrator The reason for this can be cited as scepticism as to whether agent-based production systems can meet the mandatory requirements of real-time capability and robustness [13]. A second group of research questions require a functional CPPS that allows transferability of the results to industrial production systems for their investigation [19], [20]. Industrial plants were installed on which research activities are no longer possible after commissioning or, as in [21], further activities are limited in time and have to be coordinated with the company operating the CPPS.
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