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Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN

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  • Bensaci, Chaima
  • Zennir, Youcef
  • Pomorski, Denis
  • Innal, Fares
  • Lundteigen, Mary Ann

Abstract

This paper investigates the ability to use complex multi-mobile robotic systems in risky and dynamic environments, such as industrial plants and laboratories, with the presence of the human factor. More specifically, it presents an approach to analyze the dominant risk, extract, model and quantify the hazard scenarios, then propose requirements using the combination between two methods: System Theoretic Process Analysis (STPA) and Stochastic Petri Nets (SPN). This approach is demonstrated with a case study related to a chemical transportation task within a miniature analysis laboratory in oil and gas industry. The main purposes of this article are: to investigate how the risk and safety of these systems should be managed, to create a framework for modeling collision hazard scenarios, further a Monte Carlo simulation is performed to quantify the collision frequency and unavailability. In addition, to generate the required constraints and requirements in order to improve the safe operation of robots within the laboratory.

Suggested Citation

  • Bensaci, Chaima & Zennir, Youcef & Pomorski, Denis & Innal, Fares & Lundteigen, Mary Ann, 2023. "Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:reensy:v:234:y:2023:i:c:s0951832023000534
    DOI: 10.1016/j.ress.2023.109138
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    References listed on IDEAS

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    1. Khastgir, Siddartha & Brewerton, Simon & Thomas, John & Jennings, Paul, 2021. "Systems Approach to Creating Test Scenarios for Automated Driving Systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Xiyun Yang & Jinxia Li & Wei Liu & Peng Guo, 2011. "Petri Net Model and Reliability Evaluation for Wind Turbine Hydraulic Variable Pitch Systems," Energies, MDPI, vol. 4(6), pages 1-20, June.
    3. Zhou, Jianfeng & Reniers, Genserik, 2022. "Petri-net based cooperation modeling and time analysis of emergency response in the context of domino effect prevention in process industries," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    4. Antonello, Federico & Buongiorno, Jacopo & Zio, Enrico, 2022. "A methodology to perform dynamic risk assessment using system theory and modeling and simulation: Application to nuclear batteries," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Li, Xiao-Yang & Liu, Yue & Lin, Yan-Hui & Xiao, Liang-Hua & Zio, Enrico & Kang, Rui, 2021. "A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    6. Juntao Zhang & Hyungju Kim & Yiliu Liu & Mary Ann Lundteigen, 2019. "Combining system-theoretic process analysis and availability assessment: A subsea case study," Journal of Risk and Reliability, , vol. 233(4), pages 520-536, August.
    7. Signoret, Jean-Pierre & Dutuit, Yves & Cacheux, Pierre-Joseph & Folleau, Cyrille & Collas, Stéphane & Thomas, Philippe, 2013. "Make your Petri nets understandable: Reliability block diagrams driven Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 113(C), pages 61-75.
    8. Liu, Shuanglei & Li, Weijun & Gao, Peng & Sun, Yibo, 2022. "Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    9. Chuan Wang & Jun Gou & Yingcheng Tian & Hao Jin & Chao Yu & Yupeng Liu & Jiajun Ma & Yong Xia, 2022. "Reliability and availability evaluation of subsea high integrity pressure protection system using stochastic Petri net," Journal of Risk and Reliability, , vol. 236(3), pages 508-521, June.
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    Cited by:

    1. Shuheng Zhong & Jinping Du & Xidi Jiang, 2023. "Analysis of Energy Laboratory Safety Management in China Based on the System-Theoretic Accident Model and Processes/System Theoretic Process Analysis STAMP/STPA Model," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
    2. Chen, Jiayu. & Yao, Boqing & Lu, Qinhua & Wang, Xuhang & Yu, Pingchao & Ge, Hongjuan, 2024. "A safety dynamic evaluation method for missile mission based on multi-layered safety control structure model," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Lilli, Giordano & Sanavia, Matteo & Oboe, Roberto & Vianello, Chiara & Manzolaro, Mattia & De Ruvo, Pasquale Luca & Andrighetto, Alberto, 2024. "A semi-quantitative risk assessment of remote handling operations on the SPES Front-End based on HAZOP-LOPA," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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