Study on qualitative simulation technology of group safety behaviors and the related software platform

Yu, Kai; Cao, Qing; Zhou, Liangchen

doi:10.1016/j.cie.2018.11.040

Cited by 12 publications

(8 citation statements)

References 26 publications

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“…For example, in complex automobile manufacturing, ceramic production and chemical processes [172] and medical operation training in paediatric urology and surgery [173]. Additionally, it has been applied to study complex systems such as the cloudbased system [174] and group safety especially for underground miners [175].…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Bongomin

Ocen

Nganyi

et al. 2020

Journal of Engineering

150

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The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 were explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done in multidisciplinary databases: Google Scholar, Science Direct, Scopus, Sage, Taylor & Francis, and Emerald Insight. From the electronic survey, 35 disruptive technologies were quantified and 13 key technologies: Internet of Things, Big Data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber-physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones, and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The review identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. This study proposes the need to address the integration of industry 4.0 concepts into the current education system.

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Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Bongomin

Ocen

Nganyi

et al. 2020

Journal of Engineering

150

View full text Add to dashboard Cite

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“…Some unsafe behaviors have a group nature, such as violations of regulation production. is kind of group unsafe behavior sometimes happens under the influence of higher-level illegal command, group norms, and other factors [30][31][32][33].…”

Section: Preliminariesmentioning

confidence: 99%

Evolutionary Stability Analysis of the Coal Mine Safety Management System Governed by Delay and Impulsive Differential Equations

Bai

Wang

et al. 2020

Complexity

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Control of unsafe behaviors has always been a difficult point in Coal Mine Safety Management (CMSM). To study the regular pattern of behavior propagations in CMSM, a series of evolutionary dynamical system models are established by the delay and impulsive differential equations (DIDEs). The threshold constraints (TCs) and impulse responses in the models can accurately correspond to the actual inspection and supervision measures in safety management. Through the simulation analysis and comparison of the system stability, it can be concluded that some proper settings of the TCs and impulse responses bring satisfactory evolutionary stability. Based on the main results of this study, we put forward some decision-making suggestions on the control points and control strategies of unsafe behaviors in safety management.

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“…Similarly, managers do not always carry out safety checks, but once they do, they will strictly abide by the rules and regulations. That is to say, if workers' unsafe behaviors are found, they will be punished according to safety management regulations [34][35][36].…”

Section: Evolutionary Game Analysismentioning

confidence: 99%

Evolutionary Game Research on Symmetry of Workers’ Behavior in Coal Mine Enterprises

Zhou

Cao

et al. 2019

Symmetry

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Statistics show that humans’ unsafe behaviors are the main cause of accidents. Because of the asymmetry of game benefits between managers and coal miners, the stability of workers’ behaviors is affected and unsafe behaviors are produced. In this paper, the symmetry of the behavior benefits of coal mine workers is studied, using game theory. In order to observe the dynamic game evolution process of behavioral stability, the paper establishes a system dynamics (SD) model and simulates it. The SD simulation results show that with the continuation of the game, when the benefits for safety managers and workers are asymmetric and the safety manager’s safety inspection benefits are less than the non-inspection benefits, the manager may not conduct safety inspections, which poses a great hidden danger to safety production. Through dynamic incentives to regulate the symmetry of income of coal mine safety managers and coal mine workers, the purpose of enhancing the stability of safety behavior is achieved. The research results of the paper have been successfully applied to coal mine enterprises.

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Study on qualitative simulation technology of group safety behaviors and the related software platform

Cited by 12 publications

References 26 publications

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Evolutionary Stability Analysis of the Coal Mine Safety Management System Governed by Delay and Impulsive Differential Equations

Evolutionary Game Research on Symmetry of Workers’ Behavior in Coal Mine Enterprises

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