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Towards ultra-flexibility: a framework for evaluating the cyber-physical continuum in flexible production systems
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0003-3973-3394
Department of Management and Engineering, Linköping University, Linköping University - Campus Valla, Linköping, Sweden.
2024 (English)In: Procedia Computer Science, E-ISSN 1877-0509, Vol. 232, p. 645-654Article in journal (Refereed) Published
Abstract [en]

Flexibility is often cited as a desirable key characteristic of modern production systems. In ultra-flexible production, machinery and layouts are in a constant state of adaptation to accommodate changing orders, varying products, or evolving conditions. Cyber-physical integration has been proposed as a potential approach to increasing system flexibility with Cyber-Physical Production Systems (CPPS) and Digital Twins (DT) as central concepts. While numerous architectures, frameworks and approaches have been proposed for CPPS and DT development, further research is motivated regarding the development of a requirement-based framework that links together the high-level system property of flexibility and lower-level system components, enabling the analysis, prescription and comparison of systems. Such a framework could enable manufacturers to continuously evaluate and improve manufacturing systems' flexibility as well as make informed design decisions. Ultimately enhancing system flexibility and responsiveness to changing production conditions. This study aims to initiate the development and formulation of such a requirements-based framework linking flexibility and lower-level system components. Additionally, it seeks to introduce the concept of a”cyber-physical continuum, ” which the study aims to define as a potential quantifiable indicator reflecting flexibility within production systems. This is achieved by leveraging prior CPPS research based on high-level system requirements. These requirements were expanded by branching each requirement into lower-level components creating a more granular scope and providing a finer lens for analysis and assessment. The framework was then applied to assess a high-mix, low-volume manufacturing scenario. Application of the preliminary framework in the case study indicates its potential utility in providing a useful view of the cyber-physical content of a system. Moreover, it serves as a valuable guide for pinpointing areas for improvement and development. By developing a framework that seamlessly links high-level flexibility requirements with detailed implementation requirements, systems can be comprehensively evaluated, methodically prescribed, and effectively compared. As future work, further refinement and validation of this framework will be crucial to ensuring its validity and applicability across diverse manufacturing contexts. 

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 232, p. 645-654
Keywords [en]
Digital Twin, Flexibility Framework, Industrial Cyber-Physical Systems, Industry 4.0, System Engineering
National Category
Embedded Systems Production Engineering, Human Work Science and Ergonomics Software Engineering
Research subject
Virtual Production Development (VPD)
Identifiers
URN: urn:nbn:se:his:diva-23732DOI: 10.1016/j.procs.2024.01.064ISI: 001196800600064Scopus ID: 2-s2.0-85189763774OAI: oai:DiVA.org:his-23732DiVA, id: diva2:1852438
Conference
5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), Lisbon 22 November 2023 through 24 November 2023
Note

CC BY-NC-ND 4.0 DEED

© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Correspondence Address: L. Ribeiro; Department of Management and Engineering, Linköping University, Linköping University - Campus Valla, Linköping, 58183, Sweden; email: luis.ribeiro@liu.se

Available from: 2024-04-18 Created: 2024-04-18 Last updated: 2024-08-15Bibliographically approved

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Birtic, MartinSyberfeldt, Anna

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