Abstract
Risk assessment is an integral part of an enterprise's quality management system. The risk of low quality products is the most significant risk, as it is directly related to the concept of enterprise competitiveness. The paper analyzes the scientific papers related to the assessment of the quality of products, processes and services, their disadvantages, possible limits of application. It is proposed to use mathematical dependences to obtain estimates of product quality indicators on a dimensionless scale. Knowing the density function of random variables of product quality indicators and knowing the mathematical dependence of their estimates on a dimensionless scale, it is proposed to obtain the density function of estimates. Knowing the function of the density of estimates of quality indicators, it is proposed to find the probabilities of risks of the assessment of quality indicators in any given interval on a dimensionless scale. A method for assessing the risks of low quality products has been developed
Highlights
One of the principles of development and implementation of the international standard [ISO 9001:2015] is the principle of risk assessment, which requires companies and organizations to develop methods for analyzing, forecasting and risk management. The requirements of this standard indicate that the organization should: “identify and assess risks and opportunities that may affect the quality management system and the results of the work of organization; create a plan to respond to risks and opportunities; make decisions based on the results of risk assessment." At the manufacturing enterprise, the sources of risk are associated with the main production activity, and with all stages of the product life cycle, related activities, actions of employees, stakeholders, and others
Scientists, in their works [Ghoddousi 2017] to obtain estimates of quality indicators on a dimensionless scale use the method of SAW (Simple Additive weighting), the meaning of which is in the application of weighting factors for individual quality indicators
To determine xi min – the minimum allowable value of the quality indicator and and xi max – the maximum allowable value of the quality indicator; To measure the true quality of the product xi; According to formula (1) to determine the value of the quality indicator Y on a dimensionless scale; Knowing the density function of the distribution law of a random variable X, we find the density function of a random variable Y on a dimensionless scale
Summary
One of the principles of development and implementation of the international standard [ISO 9001:2015] is the principle of risk assessment, which requires companies and organizations to develop methods for analyzing, forecasting and risk management The requirements of this standard indicate that the organization should: “identify and assess risks and opportunities that may affect the quality management system and the results of the work of organization; create a plan to respond to risks and opportunities; make decisions based on the results of risk assessment." At the manufacturing enterprise, the sources of risk are associated with the main production activity, and with all stages of the product life cycle, related activities, actions of employees, stakeholders, and others. The aim of the paper is to develop a methodology for assessing the production risks of manufacturing low quality products This method must be universal so that it can be used in different enterprises for the manufacture of various products [Mrkvica 2012, Cacko 2014]
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