A probabilistic hybrid methodology for the management and control of risks related to the production system: Case of industrial textiles

Subject Areas : Multivariate Analysis

salima ZEGHDANI ¹ , Kinza MOUSS ²

1 - Department of Industrial Engineering, Batna2 University, Batna, Algeria
2 - Department of Industrial Engineering, Batna2 University, Batna, Algeria

Received: 2022-04-12 Accepted : 2023-09-11 Published : 2023-03-01

Keywords: Bayesian network, fault tree, MAD model, Risks management, MOSAR method,

Abstract :

A significant issue for businesses is the risks connected to the production system, which can be related to people and their expertise, the technology being utilized, or the environment, endangering their productivity, continuity, and development. Risk assessment procedures are necessary to determine the most likely source of an undetected hazardous event that prevents the system from performing its function. This paper proposes a probabilistic methodology to evaluate the risks associated with a combed spinning workshop factory inside a textile company. It is a hybrid strategy based on the BN and the MADS-MOSAR methodology. In this proposal, we employ the MADS model to pinpoint risk sources from both human and environmental sources. The MOSAR approach, however, has some quantitative drawbacks. To get past this issue, we also present the integration of BN. The results of the experiments show that the suggested technique is competitive and more effective for managing and reducing risks; all types of enterprises can use it.

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