Development and Research FMEA Expert Team Model

Author:

Panyukov D.1,Kozlovsky V.2,Klochkov Y.3

Affiliation:

1. Department of Quality Management and Innovative Technologies, Volga State University of Service, Togliatti, Russian Federation

2. Department of Theoretical and General Electrotechnics, Samara State Technical University, Samara, Russian Federation

3. Monitoring Center of Science and Education, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation

Abstract

This paper presents a description and research of the model of the team of experts in the application of the Failure Mode and Effects Analysis (FMEA). The main factors affecting the efficiency of the team of experts are highlighted. The generalized mathematical model of influence of these factors on efficiency of work of team is described. The research of this model on three different sets of initial data characterizing typical situations arising at the enterprise at application of the FMEA method is presented. An assessment was made of the simultaneous change of two types of competencies and motivation of both the participants and the team-wide single parameter. The model is studied on three typical situations with a different set of initial conditions and the corresponding parameters. The use of this technique allows for a preliminary assessment of the change in the effectiveness of the analysis by a team of specialists over time, which allows on the one hand to plan correctly not only the application of the FMEA itself within the overall schedule of work, but also to properly organize the training of the team. In addition, this technique will allow you to visually compare the various teams with each other and choose the most optimal or effective team.

Funder

Russian President's

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Environment Risk Assessment of Healthcare Waste Using Ensemble Learning Technique-Based EFMEA;International Journal of Reliability, Quality and Safety Engineering;2024-07-13

2. To the question of the approach to the aviation modern and advanced electrical machines electronics units design formation;2021 International Conference on Electrotechnical Complexes and Systems (ICOECS);2021-11-16

3. Comparison of the HAZOP, FMEA, FRAM, and STPA Methods for the Hazard Analysis of Automatic Emergency Brake Systems;ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg;2021-10-01

4. Using the fmea method as a response to a customer complaint: a case study;Revista Gestão & Tecnologia;2021-03-15

5. Electromagnetic compatibility of the on-board electrical complex as a key factor in ensuring the operational safety of vehicles;IOP Conference Series: Materials Science and Engineering;2020-12-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3