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

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, June). Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing. Presented at 10th IFAC Conference On Manufacturing Modelling, Management And Control, Nantes, France

• Presentation Conference Type: Edited Proceedings
• Conference Name: 10th IFAC Conference On Manufacturing Modelling, Management And Control
• Start Date: Jun 22, 2022
• End Date: Jun 24, 2022
• Acceptance Date: Apr 10, 2022
• Online Publication Date: Jun 24, 2022
• Publication Date: Jun 24, 2022
• Deposit Date: May 18, 2022
• Publicly Available Date: Jun 24, 2022
• Series Title: IFAC Conference On Manufacturing Modelling, Management And Control
• Book Title: 10th IFAC Conference On Manufacturing Modelling, Management And Control
• Keywords: leak testing; asset administration; low-cost industrial digitalisation and control
• Public URL: https://nottingham-repository.worktribe.com/output/8132955
• Related Public URLs: https://hub.imt-atlantique.fr/mim2022/