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Software-supported Hazards Identification for Plug & Produce Systems
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för produktionssystem (PS). (KAMPT)
Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för produktionssystem (PS). (KAMPT)
(KAMPT)
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2024 (Engelska)Ingår i: 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, s. 603-610Konferensbidrag, Muntlig presentation med publicerat abstract (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Springer Nature, 2024. s. 603-610
Serie
Lecture Notes in Mechanical Engineering
Nyckelord [en]
Plug&Produce, Hazard identification, Safety, Risk assessment, Manufacturing systems
Nationell ämneskategori
Bearbetnings-, yt- och fogningsteknik
Forskningsämne
Produktionsteknik
Identifikatorer
URN: urn:nbn:se:hv:diva-20885DOI: 10.1007/978-3-031-38241-3_68Scopus ID: 2-s2.0-85171582278ISBN: 9783031382406 (tryckt)ISBN: 9783031382413 (digital)OAI: oai:DiVA.org:hv-20885DiVA, id: diva2:1822878
Konferens
International Conference on Flexible Automation and Intelligent Manufacturing FAIM 2023, 18-22 June, Porto, Portugal
Tillgänglig från: 2023-12-28 Skapad: 2023-12-28 Senast uppdaterad: 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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