摘要：This issue of tweets will introduce the 2.3. applications of decision-making methods in SCR of the intensive reading journal paper
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今天小编为大家带来“精读期刊论文《衡量食品供应链弹性的模糊群体决策模型：西班牙案例研究》的2.3.决策方法在供应链风险中的应用”。
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Today, the editor brings the "the 2.3. applications of decision-making methods in SCR of the journal paper 'A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain'".
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一、内容摘要（Content summary）
本期推文将从思维导图、精读内容、知识补充三个方面介绍精读期刊论文《衡量食品供应链弹性的模糊群体决策模型：西班牙案例研究》的2.3.决策方法在供应链风险中的应用。
This issue of tweets will introduce the 2.3. applications of decision-making methods in SCR of the intensive reading journal paper "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain" from three aspects: mind mapping, intensive reading content, and knowledge supplement.
二、思维导图（Mind Mapping）
三、精读内容（Detailed Reading Content）
在该部分，作者首先概括了多属性决策（MCDM）方法的作用。MCDM方法广泛应用于提高组织决策能力，特别是在解决供应链网络中的风险和弹性问题。这些方法通过评估风险因素的重要性（如BWM、SWARA、AHP等）和对备选方案进行优先排序（如EDAS、CoCoSo、WASPAS等）两种方式应用于供应链风险问题，帮助决策者识别关键风险因素并选择最佳方案。
In this part, the author first summarizes the role of multi-attribute decision making (MCDM) method. MCDM method is widely used to improve organizational decision-making ability, especially in solving risk and elasticity problems in supply chain network. These methods are applied to supply chain risk problems by assessing the importance of risk factors (such as BWM, SWARA, AHP, etc.) and prioritizing alternatives (such as EDAS, CoCoSo, WASPAS, etc.), helping decision makers to identify key risk factors and select the best solution.
然后，作者对决策方法在供应链风险中的应用作了文献综述。综述概括了多个研究者在弹性供应商选择问题上采用的不同决策模型和方法。这些方法包括QFD、AHP、TOPSIS、灰色理性分析、DEMATEL、ELECTRE、SWOT-BWM-DEA、模糊层次分析法、SWARA-EDAS以及BWM-TOPSIS等，它们被应用于不同的行业和背景下，如电子制造、汽车行业、医院信息系统和金融服务等。这些研究通过集成多种决策支持工具和技术，提高了供应链的弹性和可持续性，同时评估和管理风险。通过文献综述，可以发现MCDM模型能够使决策者和管理者更好地解决复杂的、多方面的问题。模糊集理论及其扩展、区间灰数、粗糙集理论等不确定集理论的应用可以提高决策模型的可靠性和鲁棒性。
Then, the author makes a literature review on the application of decision method in supply chain risk. This review summarizes the different decision models and methods used by many researchers on flexible supplier selection. These methods include QFD, AHP, TOPSIS, grey rational analysis, DEMATEL, ELECTRE, SWOT-BWM-DEA, fuzzy Analytic Hierarchy Process, SWARA-EDAS and BWM-TOPSIS, etc. They are applied in different industries and contexts. Such as electronics manufacturing, the automotive industry, hospital information systems and financial services. These studies improve supply chain resilience and sustainability by integrating multiple decision support tools and techniques, while assessing and managing risk. Through literature review, it can be found that MCDM model can enable decision makers and managers to better solve complex and multifaceted problems. The application of fuzzy set theory and its extension, interval grey number, rough set theory and other uncertain set theory can improve the reliability and robustness of decision model.
四、知识补充——QFD法（Knowledge Supplement -- QFD Method）
QFD法（质量功能展开）是一种系统性的决策技术。该方法主要用于将顾客的需求转化为具体的产品特性和工程措施，通过一系列矩阵表来量化分析顾客需求与工程措施之间的关系，从而确保产品或服务能够完全满足顾客的需求。
QFD (Quality Function Expansion) is a systematic decision-making technique. This method is mainly used to transform customer needs into specific product characteristics and engineering measures, and quantify the relationship between customer needs and engineering measures through a series of matrix tables, so as to ensure that products or services can fully meet customer needs.
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参考资料：ChatGPT、百度百科
参考文献：
Yazdani Morteza, Torkayesh Ali Ebadi, Chatterjee Prasenjit, et al. A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain [J]. Socio-Economic Planning Sciences, 2022, 82(1): 101257-101271.
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排版| Ann
审核| Whisper
来源：LearningYard学苑
