可维护性
航空电子设备
可靠性(半导体)
质量(理念)
层次分析法
可靠性工程
风险分析(工程)
供应链
计算机科学
不可用
模糊逻辑
采购
运筹学
工程类
业务
人工智能
营销
物理
哲学
航空航天工程
认识论
功率(物理)
量子力学
作者
Noor Muhammad,Zhigeng Fang,Syed Ahsan Ali Shah,Muhammad Azeem Akbar,Ahmed Alsanad,Abdu Gumaei,Yasir Ahmed Solangi
出处
期刊:Sustainability
[MDPI AG]
日期:2020-06-10
卷期号:12 (11): 4744-4744
被引量:19
摘要
Reliability and quality are the two ultimate objectives in the avionics industry. The risk of counterfeit electronics and the unavailability of screening facilities for 100% components are the most concerning areas in the supply chain of the avionics industry. Unlike most public procurement, the cost is not the only significant criterion. Unbiased decision-making criteria to accommodate all the important factors without compromising on quality, reliability, and maintainability are essential for the evaluation and selection of sustainable suppliers. Therefore, this study proposes an unbiased decision methodology based on the fuzzy analytic hierarchy process (FAHP) and the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS). In the first phase, six main and twenty-one sub-criteria are selected from the literature and empirically validated by experts of the avionics industry. FAHP is used to evaluate the weight of the main criteria and sub-criteria. FTOPSIS is used to prioritize eight alternatives (suppliers) concerning their effectiveness and superiority in finding the best alternatives. The results of the FAHP reveal that traceability (T) is the most important criterion, followed by quality (Q), and cost (C), which rank as the second and third most significant criteria. The results of the FTOPSIS rate supplier 8, supplier 2, and supplier 1 as the first, second, and third most effective suppliers, respectively.
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