摘要：Today, the editor will introduce the introduction ofan integrated group fuzzy inference and best–worst method for supplier selecti
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“颜读（22）：精读期刊论文《An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains》引言”
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"Yan Du (22): Careful reading of the journal paper ‘An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains’ Introduction"
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今天小编将从思维导图、精读内容、知识补充三个板块为大家带来《An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains》引言的介绍。
Today, the editor will introduce the introduction of an integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains from three sections: mind mapping, in-depth content reading, and supplementary knowledge.
一、思维导图（Mind Mapping）
二、精读内容（Conduct in-depth reading of the material）
（1）研究背景与现状（Research background and current status）
在本文引言中，作者通过梳理近几年的文献的方法来阐述供应商选择的重要性、可持续与循环经济趋势、工业4.0的影响、环境管理与挑战。第一，供应商选择是企业提升供应链生产力、降低成本、满足客户需求的重要环节，同时涉及多种定量与定性、且常常相互冲突的评价指标。第二，在股东和利益相关者压力下，企业逐渐将可持续性纳入供应链管理。循环经济供应商通过正向与逆向物流实现“零废弃”目标。第三，循环经济被认为是应对环境污染、资源浪费等问题的有效途径，但实施过程中仍面临多种组织性挑战。第四，物联网、智能工厂、网络物理系统等技术改变了供应链的运行模式，提高了定制化、可追溯性、交付准时率等能力，并增强了应对突发事件的韧性。
In the introduction of this paper, the author elaborates on the importance of supplier selection, the trends of sustainability and circular economy, and the impact of Industry 4.0, as well as environmental management and challenges, by reviewing the literature from recent years. Firstly, supplier selection is a crucial step for enterprises to enhance supply chain productivity, reduce costs, and meet customer demands, while involving a variety of quantitative and qualitative evaluation indicators that are often in conflict with each other. Secondly, under pressure from shareholders and stakeholders, companies are gradually incorporating sustainability into their supply chain management. Circular economy suppliers aim to achieve a "zero-waste" goal through forward and reverse logistics. Thirdly, the circular economy is considered an effective approach to addressing issues such as environmental pollution and resource waste, but its implementation still faces various organizational challenges. Fourthly, technologies such as the Internet of Things (IoT), smart factories, and cyber-physical systems have transformed supply chain operations, improving capabilities in customization, traceability, and on-time delivery and enhancing resilience against unexpected events.
（2）研究目标与方法（Research objectives and methodology）
文章提出一种基于模糊群体最佳-最劣法（Fuzzy Group BWM）和模糊推理系统（FIS）的集成方法，对智能循环供应链中的可持续供应商进行选择。第一阶段：识别并加权四大类评价指标及其子指标；第二阶段：利用FIS根据各指标得分计算供应商总分并进行排序。
The article proposes an integrated approach based on the Fuzzy Group Best-Worst Method (Fuzzy Group BWM) and the Fuzzy Inference System (FIS) for selecting sustainable suppliers in intelligent circular supply chains. The approach consists of two stages: In the first stage, it identifies and assigns weights to four major categories of evaluation indicators and their sub-indicators; in the second stage, it utilizes the FIS to calculate the overall scores of suppliers based on their individual indicator scores and then ranks them accordingly.
（3）研究问题（Research questions）
作者提出本文的研究问题：
1.从经济、社会、循环和工业4.0的角度来看，哪些次级标准适合评估供应商？
2.评估和排名供应商的实用方法是什么？
3.我们如何评估和验证所提出方法的有效性？
The authors propose the following research questions for this study:
1. From the perspectives of economy, society, circular economy, and Industry 4.0, which sub-criteria are suitable for evaluating suppliers?
2. What is a practical approach for assessing and ranking suppliers?
3. How can we evaluate and validate the effectiveness of the proposed method?
（4）研究贡献（Research contributions）
作者指出解决以上的研究问题将产生以下贡献：为供应商评估确定一套全面的经济、社会、循环和工业4.0标准；开发一种使用模糊组BWM和FIS对供应商进行评估和排名的新方法；通过真实案例研究验证所提出方法的适用性和有效性。
The authors point out that addressing the aforementioned research questions will yield the following contributions: establishing a comprehensive set of economic, social, circular economy, and Industry 4.0 criteria for supplier evaluation; developing a novel method for assessing and ranking suppliers using Fuzzy Group Best-Worst Method (BWM) and Fuzzy Inference System (FIS); and validating the applicability and effectiveness of the proposed method through real-world case studies.
（5）论文结构（Structure of the paper）
引言的最后，文章交代了论文其余部分组织如下：第二节是文献综述。第三节介绍了所提出的方法。第四节通过一个实际案例研究展示了所提出方法的应用。最后，第五节和第六节分别介绍了所提出方法的管理含义和结论。
At the end of the introduction, the article outlines the organization of the remaining parts of the paper as follows: Section 2 presents a literature review. Section 3 introduces the proposed method. Section 4 demonstrates the application of the proposed method through a practical case study. Finally, Sections 5 and 6 respectively discuss the managerial implications and conclusions of the proposed method.
三、知识补充（Supplementary Knowledge）
循环经济在供应链中的应用，核心是延长资源使用周期、减少废弃、闭环流通，它不仅是环境保护的理念，也是提升供应链韧性与竞争力的重要战略。
The core of applying the circular economy in supply chains lies in extending the lifecycle of resources, minimizing waste generation, and facilitating closed-loop circulation. It represents not only an environmental protection philosophy but also a crucial strategy for enhancing supply chain resilience and competitiveness.
（1）闭环供应链（Closed-loop supply chain）
将传统“生产-使用-废弃”的线性模式，转变为“设计-生产-使用-回收-再利用”的循环模式。
Transform the traditional linear model of "produce - use - discard" into a circular model of "design - produce - use - recover - reuse".
（2）零废弃目标（Zero waste goal）
通过再制造、再利用、回收等手段，将产品和原料重新投入生产环节。
Through means such as remanufacturing, reuse, and recycling, products and raw materials are reintroduced into the production process.
（3）价值最大化（Value maximization）
During the product design phase, considerations are given to ease of disassembly, repair, and upgrade, so as to facilitate easier recycling and reuse at the end of its lifecycle.
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翻译：文心一言
参考资料：ChatGPT
参考文献：Tavana M, Sorooshian S, Mina H. An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains [J]. Annals of Operations Research, 2024, 342(1): 803-844.
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