A RISK ASSESSMENT MODEL FOR HEALTH SUPPLY CHAIN BASED ON HYBRID FUZZY MCDM METHOD

被引:1
作者
Hosseinpour, Mahmood [1 ]
Amirkhan, Mohammad [1 ]
Rezaeian, Javad [2 ]
Doostideilami, Mohammadjafar [3 ]
机构
[1] Islamic Azad Univ, Dept Ind Engn, Aliabad Katoul Branch, Aliabad Katoul, Iran
[2] Mazandaran Univ Sci & Technol, Dept Ind Engn, Babol, Iran
[3] Islamic Azad Univ, Dept Math, Aliabad Katoul Branch, Aliabad Katoul, Iran
来源
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | 2024年 / 31卷 / 01期
关键词
Risk Evaluation; Health Supply Chain; Food Industry; Multi-criteria Decision-Making; Fuzzy Set Theory; HIERARCHY PROCESS; MANAGING RISK; FMEA APPROACH; MANAGEMENT; INDUSTRY; SYSTEM; AHP; COMPETITION; MITIGATION; FRAMEWORK;
D O I
10.23055/ijietap.2024.31.1.9687
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study aims to identify and evaluate the risks of the manufacturing sector in the health supply chain of the food industries. For this purpose, first, the risks related to food industry units have been identified using the fuzzy Delphi approach and then, applying the fuzzy best-worst model (F BWM) and the fuzzy decision-making trial and evaluation laboratory (F DEMATEL) model, the weights and internal relationships of criteria have been determined, respectively. For the final prioritization of the risks, a hybrid method based on F BWM and F DEMATEL has been used. To demonstrate the applicability of the proposed approach, a real case of food industry units is presented. The data are both quantitative and qualitative, and both library and field methods have been used to collect them. The results showed that among the identified factors, the biological factor had the highest priority, and the health factor had the lowest one.
引用
收藏
页码:128 / 151
页数:24
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