为了探索国内外应急供应网络领域研究进展,本文以2000—2021年间Web of Science和Scopus数据库收录的应急供应网络相关文献为样本,运用BibExcel和Gephi软件,对筛选出的文献特征、研究集群和发展趋势进行分析。研究结果发现:根据统计数据...为了探索国内外应急供应网络领域研究进展,本文以2000—2021年间Web of Science和Scopus数据库收录的应急供应网络相关文献为样本,运用BibExcel和Gephi软件,对筛选出的文献特征、研究集群和发展趋势进行分析。研究结果发现:根据统计数据,文献发表数量总体呈现上升趋势,应急供应网络研究领域核心作者群和研究机构已逐渐涌现;该领域研究主要围绕物资分配网络、选址-路径-库存网络、车辆路径与调度网络和人员伤亡管理网络4个主题展开。从发展趋势上看,车辆路径与调度以及结合选址或库存的研究已经高度关联,灾后紧急疏散和救治服务仍是该领域的研究重点,进而确定现有研究中的差距和趋势。最后,提出了提高应急供应网络可靠性、关注灾民需求端、构建更现实的模型和整合多种救援活动4个未来研究方向,以期为现有研究提供借鉴。展开更多
Due to the frequent occurrence of various emergencies in recent years,people have put forward higher requirements on the emergency supply chain management.It is of great significance to explore the key management indi...Due to the frequent occurrence of various emergencies in recent years,people have put forward higher requirements on the emergency supply chain management.It is of great significance to explore the key management indicators of emergency supply chain for its management and efficient operation.In order to reveal the essence of emergency supply chain management,production,procurement,distribution,storage,use,recycling and other emergencies,supply chain links are considered to establish an emergency supply chain management index system to identify the key influencing factors in the emergency supply chain.The emergency supply chain involves many management elements and the traditional qualitative analysis and comprehensive evaluation methods have their shortcomings in practice.In order to get a more suitable method,a novel evaluation model is proposed,based on Rough set—house of quality method.In this paper,Rough set is used to filter the indexes,eliminate redundant indicators,and simplify many management indicators of the emergency supply chain system to a few core indicators.Then,the house of quality is used to analyze and sort the core index to get the key management index of emergency supply chain.The effectiveness of the proposed evaluation model is validated through a series of numerical experiments.The experimental results also show that the proposed evaluation model can assist decision makers in optimizing the emergency supply chain procedure and improving the efficiency of accident rescue.展开更多
文摘为了探索国内外应急供应网络领域研究进展,本文以2000—2021年间Web of Science和Scopus数据库收录的应急供应网络相关文献为样本,运用BibExcel和Gephi软件,对筛选出的文献特征、研究集群和发展趋势进行分析。研究结果发现:根据统计数据,文献发表数量总体呈现上升趋势,应急供应网络研究领域核心作者群和研究机构已逐渐涌现;该领域研究主要围绕物资分配网络、选址-路径-库存网络、车辆路径与调度网络和人员伤亡管理网络4个主题展开。从发展趋势上看,车辆路径与调度以及结合选址或库存的研究已经高度关联,灾后紧急疏散和救治服务仍是该领域的研究重点,进而确定现有研究中的差距和趋势。最后,提出了提高应急供应网络可靠性、关注灾民需求端、构建更现实的模型和整合多种救援活动4个未来研究方向,以期为现有研究提供借鉴。
文摘Due to the frequent occurrence of various emergencies in recent years,people have put forward higher requirements on the emergency supply chain management.It is of great significance to explore the key management indicators of emergency supply chain for its management and efficient operation.In order to reveal the essence of emergency supply chain management,production,procurement,distribution,storage,use,recycling and other emergencies,supply chain links are considered to establish an emergency supply chain management index system to identify the key influencing factors in the emergency supply chain.The emergency supply chain involves many management elements and the traditional qualitative analysis and comprehensive evaluation methods have their shortcomings in practice.In order to get a more suitable method,a novel evaluation model is proposed,based on Rough set—house of quality method.In this paper,Rough set is used to filter the indexes,eliminate redundant indicators,and simplify many management indicators of the emergency supply chain system to a few core indicators.Then,the house of quality is used to analyze and sort the core index to get the key management index of emergency supply chain.The effectiveness of the proposed evaluation model is validated through a series of numerical experiments.The experimental results also show that the proposed evaluation model can assist decision makers in optimizing the emergency supply chain procedure and improving the efficiency of accident rescue.
