Design of a fuzzy model that integrates hygiene, safety, and environment systems for the assessment of the overall risk of machines

Abstract

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.

New approach integrating the health, safety, and environment systems for the maintenance function in industries

“…This technique deals with both digital and linguistic data and formalizes and analyses human qualitative knowledge; therefore, it is capable of providing quick and interpretable solutions. Fuzzy inference system contains four main phases: 19 Step 1 (fuzzification): It is a process in which the input data are converted into linguistic variables. This process is fulfilled with the aid of a function.…”

“…Fuzzy inference system contains four main phases:19 The proposed approach. Schematic diagram of the proposed model.…”

Evaluation Model of the Production System Effectiveness

“…At the present time, fuzzy logic arouses a general interest on the part of all those who feel the need to formalize empirical methods, to generalize natural modes of reasoning, to automate decision-making in their field, or to construct artificial systems performing the same functions. Tasks are usually supported by humans [6].…”

“…Let us insist here that fuzzy logic is the only framework in which uncertainties "that cannot be handled by statistical models or methods" and inaccuracies "that cannot be treated by statistical models" can be treated and also authorize the No treatment of certain incompleteness. It is also the only framework in which digital knowledge symbolically expressed by natural language skills can be processed [6].…”

ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data

“…Risk management is a complex task, especially in production supply chains (PSCs), and it includes the identification of RFs, the analysis and the assessment of risk, and the determination of activities which should lead to risk value reduction [5][6][7]. The determination of appropriate management initiatives for risk value reduction has been considered from various aspects, which are briefly described in the following text.…”