Methods of evaluating maturity level of the organization based on fuzzy modeling

Borisova, Lyudmila V.; Dimitrova, L. A.; Nurutdinova, Inna

doi:10.23947/1992-5980-2017-17-1-113-121

Cited by 3 publications

(2 citation statements)

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“…To obtain an assessment of the significance of the risk, the method proposed in [18] was used. Fuzzy logical inference of the solution is the application of the maximin composition as a compositional rule of fuzzy inference and the operation of taking the minimum as a fuzzy implication and is performed, for example, using application software package Fuzzy Logic Toolbox (MatLab).…”

Section: Results Of Investigationsmentioning

confidence: 99%

Risk significance assessment on the basis of a fuzzy model

Nurutdinova

Dimitrova

2021

E3S Web Conf.

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The paper considers the problem of risk significance assessment in the activity of a testing laboratory. The accreditation criteria of such laboratories include requirements for implementation of risk management in the organization of their activity. To optimize the risk management process, it is proposed to create an expert system based on fuzzy modelling of the derivation of the risk significance assessment. The expediency of this approach is justified by the expert nature of information on the parameters of risks, subjectivity and uncertainty in their assessments. A description of the subject area “Risk significance assessment” is given, groups of input features and an output parameter are established, the corresponding linguistic variables are introduced, basic and extended term-sets are defined, membership functions are constructed. A fuzzy expert knowledge base has been created, the fuzzy inference of assessing the significance of risks is based on. The proposed algorithm for assessing the significance of risk was tested, confirming its suitability and effectiveness for creating an expert system.

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Section: Results Of Investigationsmentioning

confidence: 99%

Risk significance assessment on the basis of a fuzzy model

Nurutdinova

Dimitrova

2021

E3S Web Conf.

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“…Мониторингэто непрерывный процесс наблюдения и последующей деятельности с целью выявления существующих изменений и проверки выполненных мероприятий. Он способствует пониманию того, как меняется профиль рисков, в какой степени функционирует система внутреннего контроля рисков [17]…”

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Application of the Failure Mode and Effects Analysis Tool in Testing Laboratory for a Risk Analysis

Makaeva,

Denisova

et al. 2024

Vestnik IzhGTU imeni M.T. Kalashnikova

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The new version of the GOST ISO/IEC 17025-2019 standard requires the laboratories to plan and carry out actions to eliminate risks and opportunities. Several management tools can be used to identify risks, such as Failure Tree Analysis (FTA), Failure Mode and Effects Analysis (FMEA), Ishikawa diagram, risk matrix, brainstorming, and etc. The result of risk identification in the laboratory is a risk register containing all potential risks that may arise during laboratory activities. FMEA is one of the such registries. The purpose of this study was to demonstrate the possibility of using the FMEA tool for risk assessment in a testing laboratory, taking into account the requirements of GOST ISO/IEC 17025-2019. Two processes were selected and used for FMEA analysis - review of requests, applications and internal laboratory control. As part of the analysis, point estimates (on a ten-point scale) of the Severity of Effect S, the Probability of Occurrence O, and the Likelihood of Detection D. Based on the scores, the risk priority number RPN is calculated. For nonconformities with the RPN value exceeded 100, corrective measures were developed that made it possible to reduce the RPN values to an acceptable laboratory level. It is recommended to analyze the processes using the FMEA method in order to identify the causes of nonconformities and prevent their recurrence periodically. Risk analysis and management are necessary to achieve the intended results in the activities of testing laboratories, maintain and improve the quality management system.

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Information system for assessing maturity level of an organization

Nurutdinova

Dimitrova

2020

Advanced Engineering Research

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Introduction. The paper considers problems of creating information support for solving the task of assessing the maturity level of an organization. It is proposed to use intelligent information systems, i.e. expert systems. Substantive aspects of various stages of creating such systems are briefly described; the expert system architecture, which is based on using a fuzzy expert knowledge base, is given. The work objective was to create new software to solve the problem of assessing the maturity level of an organization. Materials and Methods. Previously performed modeling of the subject domain under consideration allowed us to create a knowledge base in the form of production memory, which is the basis of the fuzzy inference mechanism. The software is written in PHP and is suitable for embedding in complex web applications. The software system is a web application written primarily in PHP and JavaScript. The software works in all modern web browsers, which accelerates significantly the implementation and deployment based on both the parent-enterprise and its subsidiaries.Results. New software has been created to automate the processing of questionnaires during the organization’s selfassessment based on key indicators, as well as considering 6 main groups of the quality management system indicators. Application of the program will significantly speed up the process of input and processing of expert information required for self-assessment. The program provides organizations to get an adequate idea of the opportunities and prospects for improving the organization’s quality management system. Some fragments of the software system interface are given. Discussion and Conclusions. The proposed software can be used to determine the level of maturity of an organization. The application of Web-technologies improves usability, reduces software support costs. The software can be both deployed in the existing network infrastructure of a customer and used by all the functionality through connecting to a remote server. The software is optimized for various screen resolutions, which allows you to use it not only at the central office, but also when analyzing the quality management system of corporate customers. The traffic generated by the web application is optimized for working with mobile devices with a low-speed Internet connection. Application of the program will significantly reduce the time for users to enter and process expert information required for the problem solving and to eliminate duplication of information.

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Methods of evaluating maturity level of the organization based on fuzzy modeling

Cited by 3 publications

References 0 publications

Risk significance assessment on the basis of a fuzzy model

Risk significance assessment on the basis of a fuzzy model

Application of the Failure Mode and Effects Analysis Tool in Testing Laboratory for a Risk Analysis

Information system for assessing maturity level of an organization

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