Skip to main content

Research Repository

Advanced Search

Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing

Rehman, Hamood Ur; Chaplin, Jack C.; Zarzycki, Leszek; Mo, Fan; Jones, Mark; Ratchev, Svetan

Authors

Hamood Ur Rehman

Leszek Zarzycki

FAN MO Fan.Mo@nottingham.ac.uk
Interdisciplinary Research Fellow in Intelligent Manufacturing Systems

Mark Jones

Professor SVETAN RATCHEV svetan.ratchev@nottingham.ac.uk
Cripps Professor of Production Engineering & Head of Research Division



Abstract

The rise in demand for customised products and lower costs has generated the need for incorporating intelligence in production systems. Intelligence is the main driver for enabling intelligent control in production systems to meet feature, part and conditional variations. It also promotes solutions that offer higher functionalities and lower costs. The research presented in this paper focuses on integrating intelligence into testing processes within a production system. A novel method of controlling the testing functionality is presented by deploying and using the asset administration shell approach. A means of controlling the process with the asset administration shell guided by simulation is demonstrated. An architecture for controlling the execution behaviour in testing process by services is conceptualised offering a modular and low-cost solution. A validation by using an experimental use-case of leak-testing is presented.

Citation

Rehman, H. U., Chaplin, J. C., Zarzycki, L., Mo, F., Jones, M., & Ratchev, S. (2022). Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing. IFAC-PapersOnLine, 55(10), 1852-1857. https://doi.org/10.1016/j.ifacol.2022.09.668

Journal Article Type Article
Acceptance Date Oct 26, 2022
Online Publication Date Oct 26, 2022
Publication Date 2022
Deposit Date Nov 2, 2022
Publicly Available Date Nov 2, 2022
Journal IFAC-PapersOnLine
Electronic ISSN 2405-8963
Publisher Elsevier BV
Peer Reviewed Peer Reviewed
Volume 55
Issue 10
Pages 1852-1857
DOI https://doi.org/10.1016/j.ifacol.2022.09.668
Keywords Control and Systems Engineering
Public URL https://nottingham-repository.worktribe.com/output/13173314
Publisher URL https://www.sciencedirect.com/science/article/pii/S2405896322019863
Additional Information Part of special issue:
10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022: Nantes, France, 22-24 June 2022

Files




You might also like



Downloadable Citations