Supply Chain Analytics最新文献_第8页

A meta-analysis assessment of adaptive and transformative approaches to supply chain resilience 供应链弹性的适应性和变革性方法的元分析评估

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-04-16 DOI: 10.1016/j.sca.2025.100124

Ruhaimatu Abudu , Emmanuel Anu Thompson , Frank Selase Dzawu , Alfredo Roa-Henriquez

Amid rising global disruptions, including pandemics, geopolitical conflicts, and economic shocks, supply chain resilience has become a strategic imperative. Despite growing attention, limited synthesis exists on how resilience strategies affect supply chain performance under varying conditions. This study addresses that gap through a meta-analysis of 52 empirical studies comprising 236 independent samples and 22,955 observations. Two key strategies, Adaptive Resilience (AR), focused on rapid recovery, and Transformative Resilience (TR), centered on long-term structural adaptation, were examined concerning resilience antecedents, contextual moderators, and outcome metrics. AR was found to be more closely associated with short-term operational recovery, while TR showed stronger links to sustainability and innovation. When applied jointly, these strategies yielded significantly improved performance outcomes compared to their separate implementation. Supply chain complexity emerged as a critical moderating factor, shaping the effectiveness of each strategy based on network characteristics. This study contributes a comprehensive, evidence-based framework that links resilience strategies to their drivers and impacts. Practical implications are also offered by guiding managers on tailoring resilience investments according to the type of disruption and structural features of their supply chains. The findings support the design of more agile and robust supply chains capable of withstanding future global uncertainties.

在流行病、地缘政治冲突和经济冲击等全球破坏日益加剧的情况下，供应链弹性已成为一项战略要务。尽管受到越来越多的关注，但在不同条件下弹性策略如何影响供应链绩效的综合研究有限。本研究通过对52项实证研究的荟萃分析，包括236个独立样本和22,955个观察结果，解决了这一差距。研究了以快速恢复为重点的适应性弹性（AR）和以长期结构适应为中心的变革弹性（TR）两种关键策略，包括弹性的前因、情境调节因子和结果指标。研究发现，AR与短期业务恢复的关系更为密切，而TR与可持续性和创新的关系更为密切。当联合应用时，与单独实现相比，这些策略产生了显著提高的性能结果。供应链的复杂性成为一个关键的调节因素，塑造了基于网络特征的每种策略的有效性。本研究提供了一个全面的、基于证据的框架，将弹性战略与其驱动因素和影响联系起来。通过指导管理人员根据其供应链的破坏类型和结构特征定制弹性投资，还提供了实际意义。研究结果支持设计更灵活、更稳健的供应链，以抵御未来全球的不确定性。

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引用次数: 0

A sustainability and profitability optimization model in three-stage green supply chains under uncertainty with competitive and cooperative game dynamics 不确定条件下具有竞争与合作博弈动力学的三阶段绿色供应链可持续性与盈利能力优化模型

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-04-01 DOI: 10.1016/j.sca.2025.100114

Manojit Das , Biswajit Muchi , Shariful Alam , Dipak Kumar Jana

This research explores the integration of sustainability into green supply chain management (GSCM) under uncertainty by focusing on third-party logistics (TPL) services. We propose a three-stage green supply chain (TS-GSC) involving two manufacturers producing substitute green products, a TPL provider, and two retailers. Four scenarios are constructed to analyze the impact of competitive and cooperative dynamics on product pricing, greening degree,

{CO}_{2}

emissions, and delivery time. This study globally maximizes each stakeholder’s expected net profit in every decision-making scenario by applying fuzzy parameters’ defuzzification with fuzzy possibility measures. The results highlight that cooperation between retailers can lead to increased

{CO}_{2}

emissions and longer delivery time, while cooperative manufacturers enhance product greening but raise prices. Competition tends to lower prices and a compromised product greening. The scenario with two competing manufacturers and two competing retailers maximizes profitability and balances pricing, greening, emissions, and delivery time. The study provides managerial insights for achieving consumer satisfaction, profitability, and sustainability in the TS-GSC system.

本研究以第三方物流（TPL）服务为研究对象，探讨不确定性下可持续发展与绿色供应链管理（GSCM）的整合。我们提出了一个三阶段的绿色供应链（TS-GSC），包括两个生产替代绿色产品的制造商、一个第三方物流供应商和两个零售商。本文构建了四个情景，分析了竞争与合作动态对产品定价、绿化程度、二氧化碳排放和交货时间的影响。本研究通过模糊参数去模糊化和模糊可能性测度，使各决策情景下各利益相关者的期望净利润全局最大化。结果表明，零售商之间的合作会导致二氧化碳排放量的增加和交货时间的延长，而制造商之间的合作会提高产品的绿色化程度，但会提高价格。竞争往往会降低价格，损害产品的绿色化。两家相互竞争的制造商和两家相互竞争的零售商的情景最大化了盈利能力，并平衡了定价、环保、排放和交货时间。本研究为TS-GSC系统实现消费者满意度、盈利能力和可持续性提供了管理见解。

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引用次数: 0

Exploring the potential of industry 4.0 in manufacturing and supply chain systems: Insights and emerging trends from bibliometric analysis 探索工业4.0在制造和供应链系统中的潜力：来自文献计量分析的见解和新兴趋势

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-02-24 DOI: 10.1016/j.sca.2025.100108

Assiya Zahid , Patrice Leclaire , Lamia Hammadi , Roberta Costa-Affonso , Abdessamad El Ballouti

The synergy between Industry 4.0, production, and supply chain management is transforming industrial ecosystems, enabling more intelligent, automated, and interconnected systems. This study presents a comprehensive bibliometric analysis of academic literature on Industry 4.0 technologies within these domains from 2011 to 2024. It aims to identify key research trends, major contributors, and emerging themes shaping this field. A systematic search in the Scopus database initially retrieved 679 records, with 104 selected based on inclusion and exclusion criteria. The analysis follows the PRISMA methodology for systematic reviews and utilizes Biblioshiny and VOSviewer to examine co-authorship networks, keyword co-occurrences, and citation patterns, providing a detailed assessment of research performance. The results indicate a significant increase in research output, particularly in the integration of Internet of Things, Artificial Intelligence, and big data analytics into production and supply chain systems. These technologies contribute to enhanced operational efficiency, product quality, and value chain management. The study also identifies the most influential authors, institutions, and countries. Furthermore, the findings highlight the increasing importance of emerging technologies such as IoT and blockchain in promoting sustainability, alongside the rising recognition of social and environmental dimensions in supply chain management. By mapping research trends and identifying key contributions, this bibliometric review offers valuable insights for researchers, practitioners, and policymakers. It underscores the transformative potential of Industry 4.0 in reshaping production and supply chains while outlining future research directions, particularly regarding technological integration, sustainability challenges, and the necessity of global cooperation to advance smart and sustainable supply chains.

工业4.0、生产和供应链管理之间的协同作用正在改变工业生态系统，使系统更加智能、自动化和互联。本研究对这些领域从2011年到2024年有关工业4.0技术的学术文献进行了全面的文献计量分析。它的目的是确定关键的研究趋势，主要贡献者和新兴主题塑造这一领域。在Scopus数据库中进行系统搜索，最初检索了679条记录，根据纳入和排除标准选择了104条。分析遵循PRISMA方法进行系统评价，并利用Biblioshiny和VOSviewer来检查共同作者网络，关键词共同出现和引用模式，提供研究绩效的详细评估。研究结果表明，研究产出显著增加，特别是在将物联网、人工智能和大数据分析整合到生产和供应链系统方面。这些技术有助于提高运营效率、产品质量和价值链管理。该研究还确定了最具影响力的作者、机构和国家。此外，研究结果还强调了物联网和区块链等新兴技术在促进可持续发展方面的重要性日益增加，同时人们对供应链管理中社会和环境因素的认识也在不断提高。通过绘制研究趋势和确定关键贡献，本文献计量学综述为研究人员、从业人员和政策制定者提供了有价值的见解。报告强调了工业4.0在重塑生产和供应链方面的变革潜力，同时概述了未来的研究方向，特别是在技术整合、可持续性挑战以及推动智能和可持续供应链的全球合作必要性方面。

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引用次数: 0

An integrated pythagorean fuzzy delphi-AHP-CoCoSo approach for exploring barriers and mitigation strategies for sustainable supply chain in the food industry 探索食品行业可持续供应链障碍和缓解战略的综合 pythagorean 模糊德尔菲-AHP-CoCoSo 方法

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-02-22 DOI: 10.1016/j.sca.2025.100105

Neha Gupta , Pratibha Garg , Nidhi Ahuja

This study analyses the barriers hindering the implementation of sustainable supply chain practices within the food industry while proposing effective mitigation strategies. Employing an extensive literature review as a foundation, the study utilizes the Pythagorean fuzzy Delphi approach to identify and finalize key barriers and strategies. The identified barriers are categorized into six main groups: technological, economic, regulatory, environmental, organizational, and market barriers. The study employs the Pythagorean fuzzy Analytic Hierarchy Process (AHP) technique to prioritize these barriers, assigning priority weights to each barrier. Subsequently, eight mitigation strategies are identified and ranked based on these priority weights using the Pythagorean fuzzy Combined Compromise Solution (CoCoSo) technique. The study reveals that a lack of professional expertise is the most significant barrier to implementing sustainability practices in the food supply chain. Sustainable technology development is recommended as the top mitigation strategy, followed by others. This research contributes valuable insights into the food industry’s challenges in adopting sustainable supply chain practices. It provides a roadmap for effective mitigation strategies to foster environmental responsibility and resilience within the sector.

本研究分析了阻碍食品行业实施可持续供应链实践的障碍，同时提出了有效的缓解策略。采用广泛的文献综述为基础，本研究利用毕达哥拉斯模糊德尔菲法来识别和确定关键障碍和策略。已确定的障碍可分为六大类：技术、经济、监管、环境、组织和市场障碍。该研究采用毕达哥拉斯模糊层次分析法（AHP）技术对这些障碍进行优先级排序，为每个障碍分配优先级权重。随后，使用毕达哥拉斯模糊组合折衷解决方案（CoCoSo）技术，根据这些优先级权重确定了八种缓解策略并对其进行了排序。研究表明，缺乏专业知识是在食品供应链中实施可持续性实践的最大障碍。建议将可持续技术发展作为首要缓解战略，其次是其他战略。这项研究为食品行业在采用可持续供应链实践方面的挑战提供了有价值的见解。它为有效的缓解战略提供了路线图，以促进该部门的环境责任和复原力。

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引用次数: 0

An analytics-driven economic order quantity model integrating fuzzy learning for deteriorating imperfect items in sustainable supply chains 基于模糊学习的分析驱动经济订单数量模型

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-04-22 DOI: 10.1016/j.sca.2025.100120

M. Palanivel , M. Venkadesh , S. Vetriselvi , M. Suganya

This study presents an advanced Economic Order Quantity inventory model that integrates intuitionistic fuzzy sets and fuzzy learning to enhance decision-making under environmental uncertainty. The model systematically incorporates green technology adoption and accounts for the uncertain impact of emerging technologies on carbon emissions. The proposed framework embeds carbon reduction incentives and tax policies into the inventory decision-making process by leveraging real-time data from environmental regulations and technological advancements. Additionally, the study explores the role of fuzzy learning in optimizing supply chain networks, enabling improved environmental performance, and minimizing carbon emissions. Integrating intuitionistic fuzzy sets, fuzzy learning, green technology, and carbon emission reduction strategies provides a mathematically rigorous approach to developing adaptive inventory models that achieve economic efficiency and environmental sustainability. Numerical experiments are validated by MATLAB software. Based on the numerical experiments, sensitivity analyses are performed on key model parameters to validate the effectiveness of the proposed methodology. The findings are further reinforced by computational simulations and mathematical insights, demonstrating the practical applicability and robustness of the model.

本文提出了一种将直觉模糊集与模糊学习相结合的先进经济订货量库存模型，以增强环境不确定性下的决策能力。该模型系统地纳入了绿色技术的采用，并考虑了新兴技术对碳排放的不确定性影响。拟议的框架通过利用来自环境法规和技术进步的实时数据，将碳减排激励措施和税收政策纳入库存决策过程。此外，本研究还探讨了模糊学习在优化供应链网络、改善环境绩效和减少碳排放方面的作用。将直觉模糊集、模糊学习、绿色技术和碳减排策略相结合，提供了一种数学上严谨的方法来开发适应性库存模型，从而实现经济效率和环境可持续性。利用MATLAB软件进行了数值实验验证。在数值实验的基础上，对关键模型参数进行了敏感性分析，验证了该方法的有效性。计算模拟和数学见解进一步强化了这些发现，证明了该模型的实用性和鲁棒性。

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引用次数: 0

A multi-echelon closed-loop supply chain model with multi-recovery systems and carbon regulation 具有多回收系统和碳调控的多级闭环供应链模型

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-02-22 DOI: 10.1016/j.sca.2025.100109

Dimas Nurbani Harefah , Wakhid Ahmad Jauhari , Cucuk Nur Rosyidi , Dana Marsetiya Utama

This study develops a multi-echelon closed-loop supply chain (CLSC) optimization model for durable products by considering refurbishment, recycling processes, and carbon regulation. A mixed integer linear programming (MILP) is developed for CLSC network design involving suppliers, manufacturers, refurbishment centers, recycling centers, disposal centers, assembly centers, collection centers, and retailers. A carbon cap-and-trade policy is adopted to lessen the emissions emitted from some activities in CLSC. The objectives of the study are to determine the optimal allocations of echelons and to investigate the influences of collection rate, refurbishment rate, recycling rate and carbon policy on CLSC. A numerical example is presented to illustrate the application of the proposed model, and a sensitivity analysis is provided to investigate the effect of key parameters on the model’s behavior and system performance. The results show that the changes in collection, refurbishment, and recycling rates significantly influence the optimal allocation decisions. The results also show that by adopting a carbon cap-and-trade policy, CLSC can benefit both economically and environmentally. However, the level of benefits obtained will depend significantly on the size of the carbon cap and the selling or buying price of carbon in the market.

本研究通过考虑翻新、回收流程和碳排放法规，为耐用产品建立了一个多梯队闭环供应链（CLSC）优化模型。研究开发了一个混合整数线性规划（MILP），用于设计涉及供应商、制造商、翻新中心、回收中心、处理中心、装配中心、收集中心和零售商的 CLSC 网络。采用碳排放总量控制与交易政策来减少供应链中某些活动的排放量。研究的目的是确定梯队的最优分配，并研究收集率、翻新率、回收率和碳政策对 CLSC 的影响。本研究提供了一个数值示例来说明拟议模型的应用，并进行了敏感性分析，以研究关键参数对模型行为和系统性能的影响。结果表明，收集率、翻新率和回收率的变化会对最优分配决策产生重大影响。结果还表明，通过采用碳限额交易政策，加勒比海地区碳中心可以在经济和环境两方面获益。然而，收益水平在很大程度上取决于碳上限的大小以及碳在市场上的买卖价格。

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引用次数: 0

A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues M/M/ M/ k队列可靠再制造问题的多目标供应链优化模型

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-03-27 DOI: 10.1016/j.sca.2025.100118

Vahid Hajipour , Shermineh Hadad Kaveh , Fatih Yiğit , Ali Gharaei

Product recovery is critical in reducing costs, enhancing profitability, and improving supply chain responsiveness to customer demands. Remanufacturing returned products, as part of the circular economy, is a central strategy in achieving these goals. This study presents a model that optimizes the remanufacturing process using in-house workstations and outsourcing to maximize supply chain profitability, reduce queue lengths, and ensure machine reliability. The remanufacturing system is modeled as an M/M/m/k queuing system, considering real-world supply chain constraints such as budget limitations, station capacity, and machine reliability. Supply chain optimization is achieved by maintaining efficiency while examining different remanufacturing policies and pricing strategies. The results show that expanding remanufacturing capacity enhances supply chain profitability, even with moderate increases in queue length. We provide valuable insights for supply chain managers aiming to optimize their remanufacturing processes and balance cost, efficiency, and reliability.

产品回收对于降低成本、提高盈利能力和改善供应链对客户需求的响应是至关重要的。作为循环经济的一部分，回收产品的再制造是实现这些目标的核心战略。本研究提出一个利用内部工作站和外包来优化再制造过程的模型，以最大限度地提高供应链的盈利能力，减少排队长度，并确保机器的可靠性。再制造系统建模为M/M/ M/ k排队系统，考虑到现实世界的供应链约束，如预算限制、站点容量和机器可靠性。供应链优化是通过在保持效率的同时研究不同的再制造政策和定价策略来实现的。结果表明，即使队列长度适度增加，再制造能力的扩大也能提高供应链的盈利能力。我们为供应链管理者提供有价值的见解，帮助他们优化再制造流程，平衡成本、效率和可靠性。

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引用次数: 0

A DEMATEL approach for analysing the interdependence among the efficiency barriers in the agri-fresh produce supply chains 用DEMATEL方法分析农业生鲜产品供应链中效率壁垒之间的相互依赖性

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-02-19 DOI: 10.1016/j.sca.2025.100106

Reji John, Ashish Kumar Singh

Managing the efficiency of an agri-fresh produce supply chain is challenging and intricate due to the numerous barriers affecting it locally and globally. This study aims to enumerate the potential barriers to efficiency in the agri-fresh produce supply chains, especially when managing fruits and vegetables. We also focus on the interdependence among these barriers. We follow an in-depth literature review and identify barriers with the help of experts. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach establishes the interdependence among the identified barriers. The study reveals that numerous scattered farmers with small land areas and unorganized intermediaries, followed by barriers related to fresh food safety and quality, act as the most influential barriers, and barriers related to value addition and food processing are the least significant. Out of 13 finalized barriers, eight are cause and five are effect barriers. The study’s results provide immense insight into all Agri-fresh produce supply chain network parties, enabling them to optimize their activities and reduce food waste. Policymakers can use this information to create supportive policies that address multiple barriers simultaneously, leading to more effective and comprehensive solutions. The lack of studies on the interdependence of barriers causing inefficiency in the agri-fresh produce supply chain makes the work original and unique. The authors considered the response of farmers, fruit and vegetable retailers, wholesalers, and mediators for the development of the initial mutual influence matrix.

由于在本地和全球范围内影响农产品供应链的众多障碍，管理农产品供应链的效率具有挑战性和复杂性。本研究旨在列举农业新鲜农产品供应链中效率的潜在障碍，特别是在管理水果和蔬菜时。我们还关注这些障碍之间的相互依存关系。我们遵循深入的文献综述，并在专家的帮助下确定障碍。决策试验和评估实验室（DEMATEL）方法确定了已确定障碍之间的相互依存关系。研究发现，影响最大的障碍是生鲜食品安全和质量方面的障碍，影响最小的障碍是附加值和食品加工方面的障碍。在最终确定的13个障碍中，8个是原因障碍，5个是结果障碍。该研究的结果为所有农业新鲜农产品供应链网络各方提供了巨大的见解，使他们能够优化他们的活动并减少食物浪费。决策者可以利用这些信息制定支持性政策，同时解决多种障碍，从而找到更有效、更全面的解决方案。由于缺乏对导致农产品供应链效率低下的壁垒相互依赖的研究，使得该研究具有独创性和独特性。作者考虑了农民、水果和蔬菜零售商、批发商和中介对初始相互影响矩阵的反应。

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引用次数: 0

A text mining study of competencies in modern supply chain management with skillset mapping 现代供应链管理能力的文本挖掘研究与技能集映射

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-04-05 DOI: 10.1016/j.sca.2025.100117

Parminder Singh Kang , Rickard Enstroem , Bhawna Bhawna , Owen Bennett

This study explores the skills and competencies required by modern supply chain management professionals, focusing on the shift toward advanced technological capabilities. We analyze job advertisements from a prominent Canadian employment platform using web scraping, natural language processing, and machine learning techniques, including Latent Dirichlet Allocation and Term Frequency-Inverse Document Frequency. The findings reveal that job postings primarily emphasize traditional operational skills such as logistics, inventory control, and customer relationship management. However, there is a noticeable underrepresentation of advanced technological competencies, such as machine learning, data analytics, and automation, which are increasingly critical in today's supply chain environment. This gap highlights the need for greater alignment between job market demands and supply chain management's evolving digital transformation landscape. The study identifies key themes, including technical, managerial, and soft skills integration, emphasizing adaptability, data literacy, and strategic decision-making. The results suggest a misalignment between the competencies highlighted in job advertisements and the skills necessary for managing the complexities of a digitalized supply chain. This research offers practical recommendations for industry leaders to refine hiring strategies, academic institutions to modernize curricula, and job platforms to better showcase emerging skill requirements. Addressing this gap is essential to equip supply chain professionals with the tools and expertise to meet the challenges of a technology-driven future.

本研究探讨了现代供应链管理专业人员所需的技能和能力，重点是向先进技术能力的转变。我们使用网络抓取、自然语言处理和机器学习技术，包括潜在狄利克雷分配和术语频率-逆文档频率，分析了来自加拿大一个著名就业平台的招聘广告。调查结果显示，招聘信息主要强调传统的操作技能，如物流、库存控制和客户关系管理。然而，先进技术能力的代表性明显不足，例如机器学习、数据分析和自动化，这些在当今的供应链环境中越来越重要。这一差距凸显了就业市场需求与供应链管理不断发展的数字化转型格局之间需要更大程度的协调。该研究确定了关键主题，包括技术、管理和软技能整合，强调适应性、数据素养和战略决策。结果表明，招聘广告中强调的能力与管理数字化供应链复杂性所需的技能之间存在不一致。这项研究为行业领导者提供了切实可行的建议，以完善招聘策略，使学术机构的课程现代化，以及更好地展示新兴技能需求的就业平台。解决这一差距对于为供应链专业人员提供工具和专业知识以应对技术驱动的未来挑战至关重要。

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引用次数: 0

A scoping review of export supply chain efficiency frameworks for perishable horticultural products 易腐园艺产品出口供应链效率框架的范围审查

Supply Chain Analytics

Pub Date : 2025-06-01 Epub Date: 2025-03-13 DOI: 10.1016/j.sca.2025.100112

Sabrina Haque, Delwar Akbar, Susan Kinnear, Azad Rahman

Exporting perishable horticulture products is a complex undertaking which can create inefficiencies within export supply chains (ESCs). It is vital to identify an efficient ESC framework to enhance the competitiveness of horticultural exports. Whilst prior research has focussed on selected efficiency indicators such as logistics or consumer perceptions, a holistic framework specific to horticultural produce is yet to be developed. This study develops such a framework by identifying the key dimensions and indicators of an efficient horticulture ESC using a systems approach. A scoping review was conducted with a total of 62 studies meeting the inclusion criteria. Key efficiency indicators were grouped under seven dimensions of an ESC: economic, time, management, network, innovation, market and eco-efficiency. Careful management of these domains is required to achieve an efficient ESC for perishable horticulture that can deliver on consumer satisfaction and meet sustainability outcomes. We show that management, time, and network efficiencies should be applied at every stage of ESC, whereas other efficiency dimensions are required only at certain stages. This research fills a gap in understanding efficient horticultural ESC frameworks for stakeholders such as researchers, industry bodies, growers, distributors, processors, exporters, retailers and policymakers.

出口易腐烂的园艺产品是一项复杂的工作，可能导致出口供应链（esc）效率低下。确定一个有效的ESC框架以提高园艺出口的竞争力至关重要。虽然先前的研究侧重于选定的效率指标，如物流或消费者观念，但尚未开发出专门针对园艺产品的整体框架。本研究通过使用系统方法确定高效园艺ESC的关键维度和指标，开发了这样一个框架。对符合纳入标准的62项研究进行了范围审查。关键效率指标分为ESC的七个维度：经济、时间、管理、网络、创新、市场和生态效率。需要对这些领域进行仔细管理，以实现易腐园艺的有效ESC，从而实现消费者满意度和可持续性成果。我们表明，管理、时间和网络效率应应用于ESC的每个阶段，而其他效率维度仅在某些阶段需要。这项研究填补了研究人员、行业机构、种植者、分销商、加工商、出口商、零售商和政策制定者等利益相关者在理解有效的园艺ESC框架方面的空白。

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引用次数: 0