摘要：Today, the editor will introduce the abstract ofAn integrated group fuzzy inference and best–worst method for supplier selection i
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“颜读（19）：精读期刊论文《An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains》摘要”
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Today, the editor brings the
"Yan Du (19): Careful reading of the journal paper ‘An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains’ abstract"
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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》摘要的介绍。
Today, the editor will introduce the abstract 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（Research background）
本文的摘要中首先介绍了文章的研究背景。循环型供应商评价的目的是选择最合适的供应商，并实现零浪费。可持续循环型供应商的选择还考虑了决策过程中的社会经济和环境因素。
The abstract of this paper first introduces the research background. The purpose of circular supplier evaluation is to select the most suitable suppliers and achieve zero waste. The selection of sustainable circular suppliers also takes into account socio-economic and environmental factors in the decision-making process.
（2）研究方法（Research methodology）
本研究提出了一种集成的方法来评价智能循环型供应链中的可持续供应商，使用模糊推理系统和多准则决策方法。
This study proposes an integrated approach to evaluate sustainable suppliers in intelligent circular supply chains, utilizing fuzzy inference systems and multi-criteria decision-making methods.
（3）方法实施步骤（Steps for Implementing the Method）
根据作者提出的集成方法，方法的具体实施步骤为：第一阶段，供应商评估的子标准被确定，并使用群体模糊最佳-最劣方法从经济、社会、循环和工业4.0角度进行加权，然后根据每个标准对供应商进行评分。在第二阶段，根据模糊推理系统确定的总得分对供应商进行排序和选择。
According to the integrated method proposed by the authors, the specific implementation steps are as follows: In the first stage, sub-criteria for supplier evaluation are identified and weighted from economic, social, circular, and Industry 4.0 perspectives using the group fuzzy best-worst method. Subsequently, suppliers are scored based on each criterion. In the second stage, suppliers are ranked and selected according to the overall scores determined by the fuzzy inference system.
（4）案例应用（Case application）
摘要的最后，作者简要说明了使用东南亚某海上风电场的公私合作项目数据，验证所提出方法的可行性。
At the end of the abstract, the authors briefly illustrated the feasibility of the proposed method by using data from a public-private partnership project for an offshore wind farm in Southeast Asia.
三、知识补充（Supplementary Knowledge）
产品生命周期追踪指的是在产品从设计、生产、销售、使用、回收、再制造或报废的整个生命周期中，实时记录与追踪产品状态、位置信息、使用行为和环境数据的过程。这种追踪依托于物联网、大数据、区块链、云平台等技术，使企业能够实现对产品“从出生到死亡”的全过程透明化管理。其追踪的价值与作用有支持闭环供应链、增强产品可维护性、满足产品合规与认证、实现绿色设计优化、提高售后与客户体验、支持精益管理与ESG报告。
Product lifecycle tracking refers to the process of real-time recording and tracing product status, location information, usage behavior, and environmental data throughout the entire lifecycle of a product, spanning from design, production, and sales to usage, recycling, remanufacturing, or disposal. This tracking relies on technologies such as the Internet of Things (IoT), big data, blockchain, and cloud platforms, enabling enterprises to achieve transparent management of the entire product lifecycle "from cradle to grave." Its value and functions include supporting closed-loop supply chains, enhancing product maintainability, ensuring product compliance and certification, enabling green design optimization, improving after-sales service and customer experience, and facilitating lean management and ESG reporting.
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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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来源：LearningYard学苑
