Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems

Müller, Timo; Kamm, Simon; Löcklin, Andreas; White, Dustin; Mellinger, Marius; Jazdi, Nasser; Weyrich, Michael

doi:10.1080/0951192x.2022.2121425

Cited by 14 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of AutomationML (AML) as a modeling tool language further enhances the capabilities of such systems . CPPS architectures described in AML format can seamlessly integrate knowledge modeling and the reconfiguration management methodology (Müller et al 2022). A recent study introduces a CPPS for prefabrication in construction where the AML data model describes the CPPS modules and their subcomponents such as platforms, robots, controllers, and tools in a SystemUnitClass library (Kaiser et al 2022).…”

Section: Related Workmentioning

confidence: 99%

Offline robot programming assisted by task demonstration: an AutomationML interoperable solution for glass adhesive application and welding

Babcinschi,

Cruz,

Duarte

et al. 2024

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

Robots have been successfully deployed in both traditional and novel manufacturing processes. However, they are still difficult to program by non-experts, which limits their accessibility to a wider range of potential users. Programming robots requires expertise in both robotics and the specific manufacturing process in which they are applied. Robot programs created offline often lack parameters that represent relevant manufacturing skills when executing a specific task. These skills encompass aspects like robot orientation and velocity. This paper introduces an intuitive robot programming system designed to capture manufacturing skills from task demonstrations performed by skilled workers. Demonstration data, including orientations and velocities of the working paths, are acquired using a magnetic tracking system fixed to the tools used by the worker. Positional data are extracted from CAD/CAM. Robot path poses are transformed into Cartesian space and validated in simulation, subsequently leading to the generation of robot programs. PathML, an AutomationML-based syntax, integrates robot and manufacturing data across the heterogeneous elements and stages of the manufacturing systems considered. Experiments conducted on the glass adhesive application and welding processes showcased the intuitive nature of the system, with path errors falling within the functional tolerance range.Video 1: glass adhesive application here Video 2: welding here

show abstract

Section: Related Workmentioning

confidence: 99%

Offline robot programming assisted by task demonstration: an AutomationML interoperable solution for glass adhesive application and welding

Babcinschi,

Cruz,

Duarte

et al. 2024

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

show abstract

“…Müller et al [35] present an architecture for self-organised reconfiguration management. The architecture is aligned with the RAMI 4.0 framework and is complemented by UML meta-models and a modeling approach for knowledge specification for easy machine integration.…”

Section: Existing Digital Twin Framework For Reconfiguration Managementmentioning

confidence: 99%

Digital Twin Framework for Reconfiguration Management: Concept & Evaluation

Caesar,

Barton,

Tilbury

et al. 2023

IEEE Access

View full text Add to dashboard Cite

To remain competitive in a highly dynamic environment, manufacturing companies have to quickly react to disturbances or changing customer requirements. To enable manufacturing systems to cover these dynamics, the concept of reconfigurable manufacturing systems was introduced. From a technical point of view, this concept has been exploited for the past 20 years, revealing several different design solutions. However, industrial application is still an exception. Our analysis led to the assumption that this is due to a lack of operator support for reconfiguration management. In addition, mostly individual aspects of reconfiguration are considered instead of exploiting the entire reconfiguration space at the system and machine level. Therefore, in this paper, we present a digital twin framework for reconfiguration management considering reconfiguration as a holistic problem. We evaluate the framework by conducting a case study and challenging it by evaluating the completeness based on a systematic literature review, and analyze if it follows good practice based on 32 requirements for digital twin frameworks.

show abstract

“…The advent of the cyber-physical production system (CPPS) offers new opportunities for self-organization in production arrangements. CPPS utilizes multi-agent systems and knowledge modeling for managing multiconfiguration production, compiling various work processes for managerial decisionmaking [15]. Production planning and scheduling present enduring challenges for the manufacturing industry.…”

Section: Evolution Of Production Schedulingmentioning

confidence: 99%

Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization

Sit,

Lee

2023

Systems

View full text Add to dashboard Cite

The growing consumer demand for unique products has made customization and personalization essential in manufacturing. This shift to low-volume, high-mix (LVHM) production challenges the traditional paradigms and creates difficulties for small and medium-sized enterprises (SMEs). Industry 5.0 emphasizes the importance of human workers and social sustainability in adapting to these changes. This study introduces a digital twin design tailored for LVHM production, focusing on the collaboration between human expertise and advanced technologies. The digital twin-based production optimization system (DTPOS) uses an intelligent simulation-based optimization model (ISOM) to balance productivity and social sustainability by optimizing job allocation and scheduling. The digital twin model fosters a symbiotic relationship between human workers and the production process, promoting operational excellence and social sustainability through local innovation and economic growth. A case study was conducted within the context of a printed circuit board assembly (PCBA) using surface mount technology to validate the digital twin model’s efficacy and performance. The proposed DTPOS significantly improved the performance metrics of small orders, reducing the average order processing time from 19 days to 9.59 days—an improvement of 52.63%. The average order-to-delivery time for small orders was 19.47 days, indicating timely completion. These findings highlight the successful transformation from mass production to mass personalization, enabling efficient production capacity utilization and improved job allocation and scheduling. By embracing the principles of Industry 5.0, the proposed digital twin model addresses the challenges of LVHM production, fostering a sustainable balance between productivity, human expertise, and social responsibility.

show abstract

Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems

Cited by 14 publications

References 42 publications

Offline robot programming assisted by task demonstration: an AutomationML interoperable solution for glass adhesive application and welding

Offline robot programming assisted by task demonstration: an AutomationML interoperable solution for glass adhesive application and welding

Digital Twin Framework for Reconfiguration Management: Concept & Evaluation

Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization

Contact Info

Product

Resources

About