Action Selection Based on Fuzzy AHP-Based TOPSIS Method in Fuzzy FMEA-Based Risk Assessment: A Case Study

被引:0
作者
Oturakci, Murat [1 ]
Konyalioglu, Aziz Kemal [2 ]
机构
[1] Adana Alparslan Turke Sci & Technol Univ, Dept Ind Engn, Adana, Turkey
[2] Istanbul Tech Univ, Dept Engn Management, Istanbul, Turkey
来源
INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 1 | 2022年 / 504卷
关键词
Risk assessment; Fuzzy FMEA; Fuzzy AHP; TOPSIS; Action selection;
D O I
10.1007/978-3-031-09173-5_45
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today, risk assessment has become one of the most important applications of companies in the field of occupational health and safety. Many risk assessment types in the literature are applied by companies, and the objectivity of the results is very important in terms of worker, employer and environmental health. The aim of this study is to propose an objective risk assessment method and to prioritize the actions that can be taken as a result of the assessment. Hence, in this study, the hazards and the risks associated with those hazards that may arise in the production facility of a medium-sized company were determined as a first step. Then, these hazards were evaluated by the Fuzzy-Failure Mode and Effect Analysis (FMEA) method. As a result of the evaluation, alternative action plans for each hazard were determined together with the company team to eliminate the hazards in the highest risk group or minimize their damages. Since it is practically impossible for companies to take all the actions at the same time due to time, cost and labor constraints, the next part of the study includes which of the alternative actions should be applied to the hazards in the highest risk group. A Fuzzy AHP-based TOPSIS method was applied to prioritize actions. Thus, the actions to be taken against the hazards in the highest risk group were attempted to be chosen most appropriately with an objective approach.
引用
收藏
页码:369 / 377
页数:9
相关论文
共 15 条
[1]   Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP [J].
Abdelgawad, Mohamed ;
Fayek, Aminah Robinson .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2010, 136 (09) :1028-1036
[2]   COMPREHENSIVE RISK MANAGEMENT USING FUZZY FMEA AND MCDA TECHNIQUES IN HIGHWAY CONSTRUCTION PROJECTS [J].
Ahmadi, Mohsen ;
Behzadian, Kourosh ;
Ardeshir, Abdollah ;
Kapelan, Zoran .
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2017, 23 (02) :300-310
[3]  
Balaraju J., 2019, J. Sustain. Min, V18, P257, DOI DOI 10.1016/J.JSM.2019.08.002
[4]   Comprehensive fuzzy FMEA model: a case study of ERP implementation risks [J].
Baykasoglu, Adil ;
Golcuk, Ilker .
OPERATIONAL RESEARCH, 2020, 20 (02) :795-826
[5]   Fuzzy FMEA application to improve decision-making process in an emergency department [J].
Chanamool, Nalinee ;
Naenna, Thanakorn .
APPLIED SOFT COMPUTING, 2016, 43 :441-453
[6]   Development of a fuzzy FMEA based product design system [J].
Chin, Kwai-Sang ;
Chan, Allen ;
Yang, Jian-Bo .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 36 (7-8) :633-649
[7]   Classical and fuzzy FMEA risk analysis in a sterilization unit [J].
Dagsuyu, Cansu ;
Gocmen, Elifcan ;
Narli, Mufide ;
Kokangul, Ali .
COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 101 :286-294
[8]   "Your health and safety is of utmost importance to us": A review of research on the occupational health and safety of international employees [J].
De Cieri, Helen ;
Lazarova, Mila .
HUMAN RESOURCE MANAGEMENT REVIEW, 2021, 31 (04)
[9]   A manufacturing failure mode and effect analysis based on fuzzy and probabilistic risk analysis [J].
Gul, Muhammet ;
Yucesan, Melih ;
Celik, Erkan .
APPLIED SOFT COMPUTING, 2020, 96
[10]   Fuzzy FMEA with a guided rules reduction system for prioritization of failures [J].
Kai Meng Tay ;
Lim, Chee .
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2006, 23 (08) :1047-+