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Software-supported Hazards Identification for Plug & Produce Systems
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)
(KAMPT)
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2024 (English)In: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems: FAIM 2023 / [ed] Silva, F.J.G., Pereira, A.B., Campilho, R.D.S.G., Springer Nature, 2024, p. 603-610Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This paper presents a model-based safety software that performs Hazard Identification (HI) for Plug&Produce (P&P) systems automatically. P&P systems, inspired by Plug&Play in computers, aim to integrate devices and tools into the manufacturing system with minimum integration efforts and costs. When plugging a new resource, it will exchange all the required information with the manufacturing system and be ready to operate within minutes rather than days or weeks. One of the challenges that face this concept is performing proper risk assessment after each change in the system. Therefore, the risk assessment needs to be automated as much as possible. This paper is about automating one risk assessment step: Hazard Identification. A new safety model is designed to identify hazards. The presented software analyses this model by implementing a novel algorithm that uses lookup tables to cover various possible hazards when resources work together. This software will support the risk reduction team by drastically reducing the time needed for HI and being ready for the next steps in risk analyses. Automating identifying hazards is an essential step towards automating the entire risk assessment process and achieving safe P&P systems.

Place, publisher, year, edition, pages
Springer Nature, 2024. p. 603-610
Series
Lecture Notes in Mechanical Engineering
Keywords [en]
Plug&Produce, Hazard identification, Safety, Risk assessment, Manufacturing systems
National Category
Manufacturing, Surface and Joining Technology
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-20885DOI: 10.1007/978-3-031-38241-3_68Scopus ID: 2-s2.0-85171582278ISBN: 9783031382406 (print)ISBN: 9783031382413 (electronic)OAI: oai:DiVA.org:hv-20885DiVA, id: diva2:1822878
Conference
International Conference on Flexible Automation and Intelligent Manufacturing FAIM 2023, 18-22 June, Porto, Portugal
Available from: 2023-12-28 Created: 2023-12-28 Last updated: 2023-12-28

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Massouh, BassamKhabbazi, Mahmood RezaDanielsson, Fredrik

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Massouh, BassamKhabbazi, Mahmood RezaEriksson, MikaelDanielsson, Fredrik
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