The hygiene, safety, and environment risk assessment is becoming a major challenge for companies in the area of security. It constitutes a precondition in the definition of the strategy to be adopted. The vagueness, uncertainty of input parameters, disputes over opinions between decision-makers, and the absence of integrated models of overall hygiene, safety, and environment risk assessment constitute a handicap in the assessment of risks' acceptability. In this article, we propose an integrated model based on fuzzy logic to assess the overall hygiene, safety, and environment risk of machines. This model allows to organize the machines into hierarchy, to put in order management systems according to priority of each machine, and to classify the actions to be implemented by priority within each system. The proposed model is performed in a fuzzy logic toolbox of MATLAB using Mamdani algorithm. A case study is carried out in the Mineral Waters of Oulmes company in order to test the proposed model. A comparison shows that the proposed model offers more accurate, precise, and best results than those of classical methods.
The valuation of a production system's effectiveness requires a more appropriate decision-making indicator. The absence of this indicator constitutes a disability to give the managers a method to attain performance at the level of their services. In this article, we propose a model based on fuzzy logic that assess system effectiveness of manufacturing production. As a result, this model guides the operational decision-makers (maintenance, production, quality) to make the best decision and to have a more global vision of the production system's performance. A case study was done within an industrial firm to test the offered model. Results show that the model is more realistic, robust and has better stocks compared to the classical method.
Health, safety, and environment risk assessment, based on company quality, health, safety, and environment commitments, constitutes a precondition in the definition of the strategy to be adopted by the maintenance service. The imperfections of the knowledge; the disputes over opinions among decision-makers; and the absence of health, safety, and environment equipment risk assessment integrated models hinder the assessment of risk acceptability. In this article, we propose a health, safety, and environment risk management approach for the equipment maintenance. This approach expands the scope of action relative to the overall equipment risk-level assessment. It is based, on one hand, on fuzzy logic and, on the other hand, on two methods of decision-making support: the method of converting verbal judgments into numerical values and the pair comparison of decision criteria. This approach allows the maintenance service to implement a health, safety, and environment risk control policy for the most critical equipment. Therefore, it allows to improve the staff and product safety and to protect the environment in accordance with the strategic objectives.
Industrial maintenance occupies a predominant place in manufacturing companies and it effectively contributes to the improvement and the development of the production tool. However, the major concern of industrialists is to carry out efficient interventions in optimal time without penalizing production. Faced with this challenge, maintenance actors often find it difficult to choose the right skills to assign to the different tasks, depending on the complexity and the rapidity required of each task. In this article, we present a tool that helps manufacturers to choose the right actors for maintenance interventions. It is based on the practice of the experimental design and the estimation of the levels of competences of each actor in each maintenance level. Such a tool highlights and takes into account two important responses being the rapidity and quality of interventions. The results obtained were simulated on simulation software and examples of treatment of the results were also presented.
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