摘要：In this issue, the editor will introduce the abstract of the journal article "Decarbonised closed-loop supply chains resilience: e
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“慧学（20）：精读期刊论文’Decarbonised closed-loop supply chains resilience: examining the impact of COVID-19 toward risk mitigation
by a fuzzy multi-layer decision-making framework’摘要”
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Today, the editor brings the
"Hui Xue (20): Intensive reading of the journal article
‘Decarbonised closed-loop supply chains resilience: examining the impact of COVID-19 toward risk mitigation by a fuzzy multi-layer decision-making framework’ Abstract”
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本期推文小编将从思维导图、精读内容、知识补充三个方面为大家介绍期刊论文《Decarbonised closed-loop supply chains resilience: examining the impact of COVID-19 toward risk mitigation by a fuzzy multi-layer decision-making framework》的摘要。
In this issue, the editor will introduce the abstract of the journal article "Decarbonised closed-loop supply chains resilience: examining the impact of COVID-19 toward risk mitigation by a fuzzy multi-layer decision-making framework" from three aspects: mind mapping, intensive reading content, and knowledge supplement.
一、思维导图（Mind Mapping）
二、精读内容（Intensive reading content）
1、研究背景和目的（Research background and purpose）
面对当今供应链在温室气体大量排放、资源浪费严重以及供应链频繁中断等方面的突出挑战，需要从系统的视角出发，协同推进去碳化、韧性建设与闭环运行三类紧密关联的供应链模式。基于此，本文以全球疫情的冲击为研究背景，聚焦伊朗中小型制药企业，旨在识别并评估实现去碳化、增强韧性及构建闭环供应链所需的关键指标，为供应链可持续发展提供决策支持和理论依据。
Faced with challenges like excessive greenhouse gas emissions, resource waste, and supply chain disruptions, a systemic approach is vital to advance decarbonization, resilience, and closed-loop models. Using the global pandemic as context, this study focuses on Iranian SME pharmaceutical firms to identify and assess key indicators for these goals, offering decision support for sustainable supply chains.
2、研究方法（Research methodology）
首先，研究通过系统性的文献综述梳理了COVID-19影响下有关去碳化、韧性及闭环供应链的指标清单；之后，借助模糊德尔菲方法对这些指标进行本土化筛选与精炼。在此基础上，引入模糊DEMATEL和模糊ISM-MICMAC两种常用多指标决策工具对筛选后的指标进行深入分析，并创新性地结合多情景分析，以提升研究结论的稳健性与可信度。
Firstly, a systematic literature review compiled COVID-19-related indicators for decarbonization, resilience, and closed-loop supply chains, which were then refined via Fuzzy Delphi, and further analyzed using Fuzzy DEMATEL and Fuzzy ISM-MICMAC, with multi-scenario analysis integrated to boost robustness.
3、研究结果（Research findings）
研究结果显示，技术进步、市场沟通问题以及原材料市场是驱动其他指标变化的重要因素。同时，交通与物流在缩短交付周期、减少废弃物以及降低二氧化碳排放方面发挥着关键作用。为了进一步提升供应链的去碳化水平与韧性，本文向高层管理者提出两项策略建议：其一，应在供应链各环节识别并部署适宜的基础和先进技术；其二，通过推动协作型共生机制，实现中小企业由合作协同向价值共创的转变。此外，研究也强调政府监管部门在制定有效政策、优化原材料与成品市场运行方面所承担的关键责任。
The findings reveal that technological progress, market communication, and raw material markets significantly influence other indicators, while transportation and logistics are key to shortening delivery times, cutting waste, and reducing CO2 emissions. To boost supply chain decarbonization and resilience, we recommend deploying suitable technologies across supply chains and fostering SME collaboration for value co-creation, while highlighting governments' role in policy-making and market optimization.
三、知识补充（Knowledge Supplementation）
1、供应链韧性定义（The definition of supply chain resilience）
供应链韧性的概念最早可追溯至2003年，并在2004年被正式界定为供应链在遭受干扰后具备恢复至原始水平或实现更优状态的能力。随着相关研究的不断推进，学术界对这一概念的认识愈发成熟，目前较为普遍的定义将其视为供应链针对潜在突发情况的预先准备能力、中断发生后的快速响应能力以及恢复过程中的适应调整能力，并进一步将其划分为准备、响应和恢复三个阶段。
The concept of supply chain resilience can be traced back to 2003 and was formally defined in 2004 as the capability of a supply chain to recover to its original state or achieve an improved condition after experiencing disruptions. As relevant research has advanced, academic understanding of this concept has become increasingly mature. Currently, a widely accepted definition regards it as the supply chain's ability to proactively prepare for potential emergencies, rapidly respond when disruptions occur, and adaptively adjust during the recovery process, further categorizing it into three stages: preparation, response, and recovery.
2、供应链韧性度量方法（Measurement methods for supply chain resilience）
（1）通过核心能力来衡量供应链韧性，将其拆分为若干关键能力，并对这些能力进行评分评估，例如供应链的灵活性、可视性以及敏捷性等。
（1）Measure supply chain resilience through core competencies by breaking it down into several key capabilities and evaluating these capabilities through scoring, such as supply chain flexibility, visibility, and agility.
（2）通过直接量化指标对供应链韧性进行评估，此类方法通常采用的衡量指标包括：供应链在受到干扰后恢复至原有状态或更优状态所需的时间、恢复的完整程度，以及在恢复阶段内绩效所遭受的损失水平等。
（2） Evaluate supply chain resilience through direct quantitative indicators. Such methods typically employ measurement metrics including: the time required for the supply chain to recover to its original or an improved state after disruption, the completeness of recovery, and the extent of performance loss during the recovery phase.
（3）通过具体的供应链绩效评价指标对韧性进行量化测度，该类指标通常涵盖客户服务水平、市场占有率以及中断发生后的财务表现等方面。
（3）Quantitatively measure supply chain resilience through specific supply chain performance evaluation indicators, which typically cover aspects such as customer service levels, market share, and financial performance following disruptions.
（4）使用拓扑类指标评估供应链韧性，主要基于复杂网络视角来展开度量。例如，在供应链网络中，可将韧性表示为未引起网络瘫痪的节点或边的中断数量与所有可能发生中断的节点或边总数之间的比值。
（4） Evaluate supply chain resilience using topological indicators, primarily based on a complex network perspective for measurement. For instance, in a supply chain network, resilience can be represented as the ratio of the number of node or edge disruptions that do not cause network collapse to the total number of possible node or edge disruptions.
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翻译：文心一言
参考资料：百度、Chatgpt
参考文献： Hannan Amoozad Mahdiraji, Fatemeh Yaftiyan,Jose Arturo Garza-Reyes, et al. Decarbonised closed-loop supply chains resilience: examining the impact of COVID-19 toward risk mitigation by a fuzzy multi-layer decision-making framework [J]. Annals of Operations Research, 2024, 1(1): 1-45.
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来源：LearningYard学苑