Modeling and simulation of human behavior impact on production throughput

Bouaziz, Nourddine; Bettayeb, Belgacem; Sahnoun, M’hammed; Yassine, Adnan; Latreche, Ameur

doi:10.1016/j.ifacol.2022.09.649

Cited by 3 publications

(2 citation statements)

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“…For a 99.9% confidence level, a maximum tolerable error of 10 cm should be considered in static conditions, increased to 25-50 cm in mobile conditions. This level of accuracy suffices our needs for integrating the model into DT simulations, abstracting the parametrization and complexity of the real systems, allowing us to integrate realistic human localization behaviours in the more complex planning industrial production procedures [60].…”

Section: ) Estimated Performance Modelsmentioning

confidence: 99%

Experimental Evaluation and Modeling of the Accuracy of Real-Time Locating Systems for Industrial Use

Valiollahi,

Rodriguez,

Zhang

et al. 2024

IEEE Access

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Real-time locating systems (RTLSs) have proven to be a practical and effective solution for monitoring positions/status of humans and other entities in industrial environments, ensuring safe and efficient automated operations, by responding in real-time to unexpected events, such as the proximity of human workers to autonomous mobile robots (AMRs). This work focuses on evaluating and modeling the performance of two complementary RTLSs targeting human localization in both static and mobile conditions within a realistic industrial environment in operational conditions; with the aim of integrating live positioning information into digital twins (DT) for industrial use. Both the primary RTLS examined, an ultra-wide band (UWB) radio-based system; and the secondary RTLS, an optimized camera vision (CV)-based system with three surveillance cameras introduced as a backup RTLS, exhibited a similar median accuracy of 12-13 cm in static conditions, being the one of the UWB system slightly degraded down to 19 cm in presence of human shadowing. In human mobility conditions, the median accuracy values were further debased by 4 and 13 cm for the UWB and CV systems, respectively, indicating a limited real-time fluctuation, sufficiently bounded to guarantee the safety of human workers based on the readings of either of the primary or secondary RTLS systems. Based on the observed performance, a safety protocol for human detection in operational production scenarios was established, considering operational safety margins around humans of 1-2 m, which could be further leveraged by centralized monitoring and control entities such as industrial digital twins. The localization accuracy of the systems is characterized by means of error functions quantifying the distance to ground truth (GT) points through Gamma distribution functions using maximum likelihood estimates (MLEs). The proposed models are practical for implementation in system level simulators or industrial digital twin tools considering akin industrial environments. The different observations presented along the paper are useful for advanced industrial operation planning and optimization considerations.

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Section: ) Estimated Performance Modelsmentioning

confidence: 99%

Experimental Evaluation and Modeling of the Accuracy of Real-Time Locating Systems for Industrial Use

Valiollahi,

Rodriguez,

Zhang

et al. 2024

IEEE Access

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“…Additionally, our model's offline fatigue calculation enhances efficiency and adaptability in scheduling scenarios. Moreover, the custom definition of strenuousness levels using a generalizable approach allows us to accurately capture individualized fatigue behavior, providing a realistic representation of operator wellbeing and performance [26]. Overall, our model presents a compelling solution for the Flexible Job Shop Scheduling Problem, combining ease of implementation, computational efficiency, and accurate fatigue modeling to optimize scheduling outcomes and promote worker health and productivity.…”

Section: State Of the Artmentioning

confidence: 99%