Abstract
Safety is seen as a key factor for successful business and an inherent element of business performance. As a result, industrial safety performance has progressively and measurably improved in terms of reduction of reportable accidents at work, occupational diseases, environmental incidents and accident-related production losses. It is expected that an “incident elimination” and “learning from failures” culture will develop where safety is embedded in design, maintenance, operation at all levels in enterprises. Today’s safety analyses and proofs for certification purposes are still performed predominantly manual. However, the quantitative analysis, by its complex nature, introduced automation in the management of risk and industrial safety: statistics analysis, Bayesian methods and Bayesian networks. In this paper, a state of the art of computing in risk assessment and industrial safety will be presented: static, dynamic, centralized and distributed applications. Then, a proposal will be made to design a “Dynamic safety system” which aims at detecting and evaluating risks, then establishing prevention actions.
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Notes
- 1.
Holons are autonomous and cooperative entities representing manufacturing component and activities (products, resources, orders) according to Arthur Koestler.
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Aissani, N., Guetarni, I.H.M. (2015). From Centralized Modelling to Distributed Design in Risk Assessment and Industrial Safety: Survey and Proposition. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi-agent Manufacturing. Studies in Computational Intelligence, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-15159-5_12
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