Abstract
Plug&Produce systems accept reconfiguration and have the attribute of physical and logical flexibility. To implement the Plug&Produce system in a manufacturing plant, there is a need to assure that the system is safe. The process of risk assessment provides information that is used to implement the proper safety measures to ensure human and machine safety. An important step in the risk assessment process is hazard identification. Hazard identification of Plug&Produce system is unique as the hazard identification method provided in the safety standards do not consider system flexibility. In this paper, a framework for hazard identification of a collaborative Plug&Produce system is presented. A study case that includes a collaborative Plug&Produce system is presented and the framework is applied to identify the system’s hazards. Also, the generalisation of the framework application is discussed.
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References
Aitken, J.M., Alexander, R., Kelly, T.: A risk modelling approach for a communicating system of systems. In: 2011 IEEE International System Conference SysCon 2011 – Proceedings, pp. 442–447 (2011). https://doi.org/10.1109/SYSCON.2011.5929099
Arai, T., Aiyama, Y., Maeda, Y., Sugi, M., Ota, J.: Agile assembly system by ‘Plug and Produce.’ CIRP Ann. – Manuf. Technol. 49, 1–4 (2000). https://doi.org/10.1016/S0007-8506(07)62883-2
Bennulf, M., Danielsson, F., Svensson, B.: Identification of resources and parts in a Plug and Produce system using OPC UA. Procedia Manuf. 38, 858–865 (2019). https://doi.org/10.1016/j.promfg.2020.01.167
Bennulf, M., Danielsson, F., Svensson, B., Lennartson, B.: Goal-oriented process plans in a multi-agent system for Plug & Produce. IEEE Trans. Ind. Inform. 1 (2020). https://doi.org/10.1109/tii.2020.2994032
Bi, Z.M., Lang, S.Y.T., Shen, W., Wang, L.: Reconfigurable manufacturing systems: the state of the art. Int. J. Prod. Res. 46, 967–992 (2008). https://doi.org/10.1080/00207540600905646
Gopinath, V., Johansen, K.: Risk assessment process for collaborative assembly - a job safety analysis approach. Procedia CIRP 44, 199–203 (2016). https://doi.org/10.1016/j.procir.2016.02.334
Gopinath, V., Johansen, K., Gustafsson, Å., Axelsson, S.: Collaborative assembly on a continuously moving line - an automotive case study. Procedia Manuf. 17, 985–992 (2018). https://doi.org/10.1016/j.promfg.2018.10.105
Gopinath, V., Johansen, K., Ölvander, J.: Risk assessment for collaborative operation: a case study on hand-guided industrial robots. In: Risk Assess (2018). https://doi.org/10.5772/intechopen.70607
Gopinath, V., Ore, F., Grahn, S., Johansen, K.: Safety-focussed design of collaborative assembly station with large industrial robots. Procedia Manuf. 25, 503–510 (2018). https://doi.org/10.1016/j.promfg.2018.06.124
Hanna, A., Bengtsson, K., Götvall, P.L., Ekström, M.: Towards safe human robot collaboration - risk assessment of intelligent automation. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020-September, pp. 424–431 (2020). https://doi.org/10.1109/ETFA46521.2020.9212127
Hull, T., Minarcin, M.A.: Considerations in collaborative robot system designs and safeguarding. SAE Int. J. Mater. Manuf. 9, 545–551 (2016). https://doi.org/10.4271/2016-01-0340
Koo, C.H., Schröck, S., Vorderer, M., Richter, J., Verl, A.: A model-based and software-assisted safety assessment concept for reconfigurable PnP-systems. Procedia CIRP 93, 359–364 (2020). https://doi.org/10.1016/j.procir.2020.03.076
El Maraghy, H.A.: Flexible and reconfigurable manufacturing systems paradigms. Flex. Serv. Manuf. J. 17, 261–276 (2006). https://doi.org/10.1007/s10696-006-9028-7
Matheson, E., Minto, R., Zampieri, E.G.G., Faccio, M., Rosati, G.: Human-robot collaboration in manufacturing applications: a review. Robotics 8, 1–25 (2019). https://doi.org/10.3390/robotics8040100
Redmond, P.J., Michael, J.B., Shebalin, P.V.: Interface hazard analysis for system of systems. In: 2008 IEEE International Conference on System of Systems Engineering, SoSE 2008 (2008). https://doi.org/10.1109/SYSOSE.2008.4724202
Schou, C., Madsen, O.: A plug and produce framework for industrial collaborative robots. Int. J. Adv. Robot. Syst. 14, 1–10 (2017). https://doi.org/10.1177/1729881417717472
SIS (Swedish Standards Institute): Safety of machinery - general principles for design - Risk assessment and risk reduction (ISO 12100:2010) (2010)
SIS (Swedish Standards Institute): Robots and robotic devices – Safety requirements for industrial robots – Part 1: Robots (ISO 10218‑1:2011) (2011)
SIS (Swedish Standards Institute): Safety of machinery – Risk assessment – Part 2: Practical guidance and examples of methods (ISO 14121-2:2012, IDT) (2015)
SIS (Swedish Standards Institute): Robots and robotic devices – Collaborative robots, (ISO/TS 15066:2016, IDT) (2016)
Thomas, C., Matthias, B., Kuhlenkötter, B.: Human ‐ robot collaboration – new applications in industrial robotics. In: International Conference on Competitive Manufacturing, pp. 293–299 (2016)
Wojtynek, M., Steil, J.J., Wrede, S.: Plug, plan and produce as enabler for easy workcell setup and collaborative robot programming in smart factories. KI - Künstliche Intelligenz 33(2), 151–161 (2019). https://doi.org/10.1007/s13218-019-00595-0
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This work is a part of the project named SafeAgain funded by the KK-stiftelsen foundation.
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Massouh, B., Ramasamy, S., Svensson, B., Danielsson, F. (2022). A Framework for Hazard Identification of a Collaborative Plug&Produce System. In: Sanfilippo, F., Granmo, OC., Yayilgan, S.Y., Bajwa, I.S. (eds) Intelligent Technologies and Applications. INTAP 2021. Communications in Computer and Information Science, vol 1616. Springer, Cham. https://doi.org/10.1007/978-3-031-10525-8_12
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