Modeling and Managing Multidisciplinary Cyber-Physical Production Systems as Innovations
Tuesday, July 14, 11.00-13.00
Organizer
Birgit Vogel-Heuser, Technical University of Munich, Germany
Summary
Nowadays, firms cannot survive in the highly competitive global economy without innovation. Attempts are made to incorporate innovations by embracing new technologies and applying changes. Interdisciplinary collaboration is an essential key for successful innovation and development of cyber-physical production systems (CPPS) in Industry 4.0. Various enabling technologies and approaches such as model-driven engineering, business process model and notation (BPMN), blockchain, human-machine interfaces and digital twin will be presented in this tutorial through illustrative case studies. The identified development potentials of these technologies and approaches form the basis for new business opportunities. Additionally, an inherent consequence of innovation in CPPS is causing inconsistencies among the system specifications and components. In an interdisciplinary environment where every discipline develops a part of a system separately, identifying inconsistencies becomes even more challenging. Therefore, we need a systematic approach that includes a framework, methods and tools, to support modeling and manage inconsistencies efficiently.
Program
Opening
Tuesday, July 14, 11:00-11:05
Challenges and Concepts for Model-Based Systems Engineering in
Multiteam and Cross-Organizational Systems using Business Process
Model and Notation
Speaker: Birgit Vogel-Heuser,
Technical University of Munich, Germany
Tuesday, July 14,
11:05-11:30
Interdisciplinary collaboration is an essential key for successful innovation and development of cyber-physical production systems (CPPS) in Industry 4.0. However, various challenges in CPPS development come along with cross-disciplinary development. In this part, it will be investigated how to integrate sociotechnical and organizational aspects in the model-based systems engineering approach and how to use an enriched Business Process Model and Notation.
Development of Human-machine Interface in Industry
4.0
Speaker: Cesare Fantuzzi, University of Modena
and Reggio Emilia, Italy
Tuesday, July 14, 11:30-11:55
In Industry 4.0, the development process is continuously subject to changes in organizations, customer demand coverage, market cycles, as well as new product and production technologies. From the “socio-side” of technical systems, advancing technology for the benefit of humanity drives responsible innovation in times of technical disruption. Therefore, human aspects of automation systems should be thoroughly considered, well merged and jointly optimized. In this part, human factors and an integrated approach for supporting the workers in Industry 4.0 will be presented.
Blockchain Technology and Digital Fingerprint in
Production
Speakers: Marion Merklein and Michael
Lechner, Friedrich-Alexander-Universität Erlangen-Nürnberg,
Germany
Tuesday, July 14, 11:55-12:15
An increasingly connected production in the sense of Industry 4.0 allows completely new possibilities in regard to an improved production quality and more efficient processes. However, for the data exchange still conventional (inefficient) methods and databases are used. Within this contribution, the integration of blockchain system in a production line is presented. Thereby, the blockchain ensures data sovereignty and equal power of all participants.
Model-driven Engineering for Industry 4.0
Speaker:
Manuel Wimmer, Johannes Kepler University Linz, Austria
Tuesday,
July 14, 12:15-12:35
During the engineering process, model-driven engineering and digital twin are emerging technologies for Industry 4.0. The identified development potentials of these technologies form the basis for new business opportunities. In this part, modeling languages and systematic mapping methods, as well as the model-based digital twin for cyber-physical production systems (CPPS) engineering, will be presented through illustrative case studies.
Inconsistency Management and Model-coupling in the Industrial
Toolchain
Speaker: Minjie Zou, Technical University
of Munich, Germany
Tuesday, July 14, 12:35-12:50
An inherent consequence of innovation in cyber-physical production systems (CPPS) is emerging inconsistencies among the system specifications and components. In an interdisciplinary environment where every discipline develops a part of a system separately, identifying inconsistencies becomes even more challenging. In this part, a systematic approach to managing inconsistencies will be presented. Knowledge graph and semantic web technologies will be demonstrated. The standard data exchange format, AutomationML, will also be introduced for model-coupling in a toolchain.
Interactive Live Session
Tuesday, July 14,
12:50-13:00