RELIABILITY ASSESSMENT OF THE INDUSTRIAL ENTERPRISE PLATFORM SYSTEM
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.2.2.32Keywords:
mobile robotic platform, reliability, robustness, probability distribution law, mean time to failure (MTTF), failure rateAbstract
The presented study investigates the problem of ensuring the reliability of the control system for mobile robotic platforms (MRPs), which are commonly used in modern intralogistics systems of industrial enterprises. A standardized approach is proposed for assessing the reliability of MRP system components, taking into account structural redundancy, series- parallel architecture, and degradation processes in complex industrial environments. Using mathematical modeling, reliability functions were calculated for a mid-range MRP system with a payload capacity of 500 to 1000 kg. The Mean Time To Failure (MTTF) and failure rate were computed for key MRP components.As a result of the study, the obtained Mean Time Between Failures (MTBF) is 19,802 hours, or approximately 2.26 years of continuous operation. This MTBF is a high value for mid-range MRPs, which typically exhibit MTBF values in the range of 10,000–20,000 hours, and it is a suitable indicator for industrial-grade platforms.The overall failure rate was determined as λtotal = 5.0499 × 10−⁵ failures/hour, which corresponds to an average failure frequency of approximately once every 19,800 hours.The availability coefficient A ≈ 0.998991 indicates that the system will be operational 99.9 % of the time, meaning downtimes will be extremely rare. This aligns with the requirements for AGVs (Automated Guided Vehicles) operating on production lines.Based on the calculations, critical elements for redundancy were identified, as well as a reconfiguration algorithm for the control system considering changes in its reliability characteristics.The failure of individual components indicates that the least reliable component is the LiDAR, exhibiting the highest failure rate. The most reliable component is the redundant communication module (BLE or WiFi), with the lowest λ value.Both the chassis and the camera show high reliability, which is essential for long-term operation.The proposed approaches can be used to enhance the fault tolerance, adaptability, and overall efficiency of intralogistics systems within the frameworks of Industry 4.0 and 5.0.
References
Formal Specification and Verification of Autonomous Robotic Systems [Electronic resource] / Matt Luckcuck [et al.] // ACM Computing Surveys. 2019. Vol. 52, no. 5. P. 1–41. Mode of access: https://doi.org/10.1145/3342355
Systematic literature review of applications and usage potentials for the combination of unmanned aerial vehicles and mobile robot manipulators in production systems [Electronic resource] / Jannis Sinnemann [et al.] // Production Engineering. 2022. Mode of access: https://doi.org/10.1007/s11740-022-01109-y
Lee I. Service Robots: A Systematic Literature Review [Electronic resource] / In Lee // Electronics. 2021. Vol. 10, no. 21. P. 2658. Mode of access: https://doi.org/10.3390/electronics10212658
Milecki A. Review of Fault-Tolerant Control Systems Used in Robotic Manipulators [Electronic resource] / Andrzej Milecki, Patryk Nowak // Applied Sciences. 2023. Vol. 13, no. 4. P. 2675. Mode of access: https://doi.org/10.3390/app13042675
Pierpaoli P. Fault Tolerant Control for Networked Mobile Robots [Electronic resource] / Pietro Pierpaoli, Dominique Sauter, Magnus Egerstedt // 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, 21–24 August 2018. [S. l.], 2018. Mode of access: https://doi.org/10.1109/ccta.2018.8511420
Khalastchi E. Fault Detection and Diagnosis in Multi-Robot Systems: A Survey [Electronic resource] / Eliahu Khalastchi, Meir Kalech // Sensors. 2019. Vol. 19, no. 18. P. 4019. Mode of access: https://doi.org/10.3390/s19184019
Leite A. A Safety Monitoring Model for a Faulty Mobile Robot [Electronic resource] / André Leite, Andry Pinto, Aníbal Matos // Robotics. 2018. Vol. 7, no. 3. P. 32. Mode of access: https://doi.org/10.3390/robotics7030032
Ventura J. A. Optimal location of dwell points in a single loop AGV system with time restrictions on vehicle availability [Electronic resource] / José A. Ventura, Brian Q. Rieksts // European Journal of Operational Research. 2009. Vol. 192, no. 1. P. 93–104. Mode of access: https://doi.org/10.1016/j.ejor.2007.09.014
Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda [Electronic resource] / Giuseppe Fragapane [et al.] // European Journal of Operational Research. 2021. Vol. 294, no. 2. P. 405–426. Mode of access: https://doi.org/10.1016/j.ejor.2021.01.019
Hierarchical Traffic Management of Multi-AGV Systems With Deadlock Prevention Applied to Industrial Environments [Electronic resource] / Federico Pratissoli [et al.] // IEEE Transactions on Automation Science and Engineering. 2023. P. 1–15. Mode of access: https://doi.org/10.1109/tase.2023.3276233
Cooperative cloud robotics architecture for the coordination of multi-AGV systems in industrial warehouses [Electronic resource] / Elena Cardarelli [et al.] // Mechatronics. 2017. Vol. 45. P. 1–13. Mode of access: https://doi.org/10.1016/j.mechatronics.2017.04.005
A Comprehensive Framework for the Design of Modular Robotic Mobile Fulfillment Systems [Electronic resource] / Wei Wang [et al.] // IEEE Access. 2020. Vol. 8. P. 13259–13269. Mode of access: https://doi.org/10.1109/access.2020.2966403
Review of autonomous mobile robots in intralogistics: state-of-the-art, limitations and research gaps [Electronic resource] / Thorge Lackner [et al.] // Procedia CIRP. 2024. Vol. 130. P. 930–935. Mode of access: https://doi.org/10.1016/j.procir.2024.10.187
Fault Tolerant Control Architecture Design for Mobile Manipulation in Scientific Facilities [Electronic resource] / Mohammad M. Aref [et al.] // International Journal of Advanced Robotic Systems. 2015. Vol. 12, no. 1. P. 4. Mode of access: https://doi.org/10.5772/60038
Yan R. Novel methodology for optimising the design, operation and maintenance of a multi-AGV system [Electronic resource] / Rundong Yan, S. J. Dunnett, L. M. Jackson // Reliability Engineering & System Safety. 2018. Vol. 178. P. 130–139. Mode of access: https://doi.org/10.1016/j.ress.2018.06.003
