Application of Fuzzy Risk Analysis for Selecting Critical Processes in Implementation of SPC with a Case Study

被引：8
作者：
Khorshidi, Hadi Akbarzade [1 ]
Gunawan, Indra [2 ]
Nikfalazar, Sanaz [3 ]
机构：
[1] Monash Univ, Fac Sci, Sch Engn & Appl Sci, Melbourne, Vic 3004, Australia
[2] Federat Univ Australia, Sch Engn & IT, Gippsland Campus, Churchill, Vic 3842, Australia
[3] Univ Tehran, Fac Management, Dept Publ Adm, Tehran 631114155, Iran
来源：
GROUP DECISION AND NEGOTIATION | 2016年 / 25卷 / 01期
关键词：
Fuzzy risk analysis; Statistical process control (SPC); Uncertainty; TOPSIS approach; Group decision making; Manufacturing line; STATISTICAL PROCESS-CONTROL; SIMILARITY MEASURES; NUMBERS; RANKING;
D O I：
10.1007/s10726-015-9439-5
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Fuzzy risk analysis is widely used in risk assessment of components by linguistic terms. Fuzzy numbers are used to quantify the associated uncertainty. This study employs fuzzy risk analysis to evaluate processes for implementing statistical process control (SPC) in a specified manufacturing system. To reach this goal, fuzzy risk analysis has been applied based on both ranking and similarity of generalized trapezoidal fuzzy numbers in a stepwise procedure. Therefore, a new approach has been introduced for fuzzy risk analysis of processes to overcome the shortcomings of previous fuzzy risk analysis approaches. As a result, fuzzy risk analysis is used as a decision making technique to select critical processes under uncertainty. Also, the application of the proposed SPC implementation algorithm is illustrated in the manufacturing line of a car battery factory.
引用
收藏
页码：203 / 220
页数：18
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