摘要
为提升应急物流服务供应链协同能力,分析应急物流服务供应链协同的关键影响因素,构建应急物流服务供应链协同影响因素结构层次模型,提出针对性政策建议,为推动国家应急管理体系和能力现代化提供决策支持。运用扎根理论筛选应急物流服务供应链协同关键影响因素,运用决策与实验室方法和解释结构模型组合方法开展影响因素分析,分析各影响因素之间的关联,确定影响因素层级。结果表明,物资需求预测能力等6个影响因素位于结构层次模型第一层,为直接影响因素;应急机制完善程度等10个影响因素位于第二层和第三层,为中间影响因素,通过影响直接因素间接对应急物流服务供应链协同产生影响;责任与风险明确程度和物流服务供应商准入机制2个影响因素是深层影响因素,对应急物流服务供应链协同产生根本影响。根据研究结果,文章从建立供应商准入机制、推进应急物流技术数智化升级、提升应急物资“最后一公里”配送效率等角度提出具体协同能力提升对策。
To enhance the collaborative capability of emergency logistics service supply chains,this paper analyzes the key influencing factors affecting such collaboration and constructs a hierarchical structural model of these factors.Targeted policy recommendations are proposed to support the modernization of the national emergency management system and capabilities.The grounded theory is employed to identify key influencing factors,while a combined method of decision-making trial and evaluation laboratory(DEMATEL)and interpretive structural modeling(ISM)is used to analyze the interrelationships and determine the hierarchical structure of the influencing factors.The results indicate that six factors—such as materials demand forecasting capability—are positioned at the first level of the model as direct influencing factors.Ten factors,including the soundness of emergency response mechanisms,are located at the second and third levels,serving as intermediate factors that indirectly influence collaboration through direct factors.Two deep-rooted factors—namely,the clarity of responsibility and risk,and the supplier access mechanism—exert fundamental impacts on emergency logistics service supply chain collaboration.Based on these findings,the psper proposes concrete strategies for improving collaborative capabilities,including establishing supplier access mechanisms,promoting the intelligent upgrading of emergency logistics technologies,and enhancing the last-mile delivery efficiency of emergency supplies.
作者
王擎天
龙晨
王忠伟
WANG Qing-tian;LONG Chen;WANG Zhong-wei(School of Traffic and Transportation Engineering,Central South University,Changsha,Hunan 410009;Central South University of Forestry and Technology,Changsha,Hunan 410004)
出处
《供应链管理》
2025年第8期40-53,共14页
SUPPLY CHAIN MANAGEMENT
基金
国家社科基金项目“数字赋能的农产品冷链物流供应链金融模式创新与监管机制研究”(22BGL114)
2023年度湖南省交通运输厅科技进步与创新项目“应急物流智能调度与服务平台关键技术研究”(202311)
湖南省重点研发计划项目“无人机集群智能协同与对抗博弈技术”(2022GK2025)
智慧物流技术湖南省重点实验室项目(2019TP1015)
2025年度湖南省社会科学成果评审委员会课题“物流降本增效驱动的林区道路网络优化模型研究”(XSP25YBC079)。
