With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matchi...With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matching perspective,for it not only satisfies natural development of smart complex equipment,it is also a good implementation of equipment project in central-private enterprises integration context.In in this paper,we carry out two parts of research,one is evaluation attributes based on comprehensive analysis,and the other is matching process between key suppliers and core components based on the matching attribute.In practical analysis process,we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows.In the analysis process,we adopt entropy-maximum deviation method(MDM)-decision-making trial and evaluation laboratory(DEMATEL)-technique for order preference by similarity to an ideal solution(TOPSIS)to obtain a comprehensive analysis.The entropy-MDM is applied to get weight value,DEMATEL is utilized to obtain internal relations,and TOPSIS is adopted to get ideal evaluated solution.We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean.Moreover,based on the aforementioned attributes and generalized power Heronian mean operator,we aggregate preference information to acquire relevant satisfaction degree,then combine the constructed matching model to get suitable key supplier.Through comprehensive analysis of selecting suitable suppliers,we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment.Through analysis for relevant factors,we find that leading role and service level are also significant for the smart complex equipment development process.展开更多
在全球气候变化与“双碳”目标背景下,能源消耗大、排放强度高的平板玻璃企业急需实现绿色低碳转型。研究首先界定平板玻璃企业绿色低碳转型的内涵,识别出技术、能源、资源、经济与管理五大核心维度,并基于文献分析法系统梳理了22个关...在全球气候变化与“双碳”目标背景下,能源消耗大、排放强度高的平板玻璃企业急需实现绿色低碳转型。研究首先界定平板玻璃企业绿色低碳转型的内涵,识别出技术、能源、资源、经济与管理五大核心维度,并基于文献分析法系统梳理了22个关键影响因素。其次,引入决策试验和评价试验法(Decision Making Trial and Evaluation Laboratory,DEMATEL)方法刻画因素间的因果关系,识别关键驱动因素。最后,使用Vensim PLE软件构建系统动力学模型,并验证合理性与有效性。此外,研究围绕五大核心维度设计生产技术改进、能源结构优化、资源优化配置、绿色价值提升、管理调整升级5条转型路径,对现有路径与综合调整路径共七类路径情景开展仿真模拟。仿真结果显示:各路径对转型均具有正向作用,同时与单一路径相比,综合调整路径更能促进绿色低碳转型,且该路径下绿色低碳转型指数增长了55.15%;在转型初期,能源结构优化路径作用显著;长期来看,生产技术改进路径发挥关键作用,后期对综合调整路径的贡献率高达49.43%。展开更多
地下储气库(以下简称储气库)老井封堵施工,因井况复杂、动态交互性强,存在井筒窜气及封堵失效等高风险隐患。现有封堵井施工风险评价方法多依赖定性分析,难以量化关键因素间的非线性影响,且传统决策试验和评价实验室(DEMATEL)方法存在...地下储气库(以下简称储气库)老井封堵施工,因井况复杂、动态交互性强,存在井筒窜气及封堵失效等高风险隐患。现有封堵井施工风险评价方法多依赖定性分析,难以量化关键因素间的非线性影响,且传统决策试验和评价实验室(DEMATEL)方法存在主观偏差问题。为此,基于模糊集理论改进DEMATEL算法,通过量化专家判断与引入原因度—中心度权重优化机制,构建了从系统级事故到不安全控制行为(UCA)的动态因果路径;然后结合概率阈值判定与多级风险传递分析,实现关键风险因素的定量排序与演化机理解析,最后建立了一种融合模糊逻辑与系统理论过程分析(Systematic Theory Process Analysis, STPA)的多尺度风险评价模型。研究结果表明:(1)融合改进的模糊DEMATEL与系统理论过程分析(STPA)方法能有效量化关键风险因素,通过引入原因度和中心度优化权重计算,显著降低了主观偏差,改进后方法的皮尔逊积矩(Pearson)相关系数优于传统模糊DEMATEL;(2)改进后的多级分析能对多个相互影响的风险因素进行多尺度的风险评价,确定不同风险因素的优化权重、相互间的因果关系、整体概率分布和传递路径;(3)多级风险传递路径分析揭示了不安全控制行为动态演化机制。结论认为,案例验证识别结果与施工现场实际风险高度吻合,该方法可以有效识别关键风险因素,且能够克服专家评价的模糊性与不确定性,为储气库老井封堵施工系统精准风险管控提供了理论和技术支撑。展开更多
预制菜产业高质量发展离不开冷链物流的支撑,当前我国预制菜产业面临冷链物流服务体系不全、服务能力不强、服务成本偏高等问题。面对可预见的万亿级蓝海市场,提升冷链物流对预制菜产业的支撑能力,对实现预制菜产业高质量发展具有重要...预制菜产业高质量发展离不开冷链物流的支撑,当前我国预制菜产业面临冷链物流服务体系不全、服务能力不强、服务成本偏高等问题。面对可预见的万亿级蓝海市场,提升冷链物流对预制菜产业的支撑能力,对实现预制菜产业高质量发展具有重要意义。从基础支撑条件、服务运营能力和提升保障能力3个维度系统构建预制菜产业冷链物流支撑力影响因素指标体系,并应用DEMATEL(Decision Making Trial and Evaluation Laboratory)方法计算各因素的影响度、被影响度、中心度和原因度,定量揭示各因素之间的相互作用关系和重要程度。研究表明,冷链物流企业综合实力、物流装备现代化水平、冷链物流信息化水平、技术创新与转化能力、数据要素赋能水平和土地资金能源保障能力是影响预制菜产业冷链物流支撑力的关键因素。同时,结合关键影响因素,针对性提出提升预制菜产业冷链物流支撑力的路径建议,以此为政府政策制定及企业管理决策提供参考。展开更多
文摘With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matching perspective,for it not only satisfies natural development of smart complex equipment,it is also a good implementation of equipment project in central-private enterprises integration context.In in this paper,we carry out two parts of research,one is evaluation attributes based on comprehensive analysis,and the other is matching process between key suppliers and core components based on the matching attribute.In practical analysis process,we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows.In the analysis process,we adopt entropy-maximum deviation method(MDM)-decision-making trial and evaluation laboratory(DEMATEL)-technique for order preference by similarity to an ideal solution(TOPSIS)to obtain a comprehensive analysis.The entropy-MDM is applied to get weight value,DEMATEL is utilized to obtain internal relations,and TOPSIS is adopted to get ideal evaluated solution.We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean.Moreover,based on the aforementioned attributes and generalized power Heronian mean operator,we aggregate preference information to acquire relevant satisfaction degree,then combine the constructed matching model to get suitable key supplier.Through comprehensive analysis of selecting suitable suppliers,we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment.Through analysis for relevant factors,we find that leading role and service level are also significant for the smart complex equipment development process.
文摘在全球气候变化与“双碳”目标背景下,能源消耗大、排放强度高的平板玻璃企业急需实现绿色低碳转型。研究首先界定平板玻璃企业绿色低碳转型的内涵,识别出技术、能源、资源、经济与管理五大核心维度,并基于文献分析法系统梳理了22个关键影响因素。其次,引入决策试验和评价试验法(Decision Making Trial and Evaluation Laboratory,DEMATEL)方法刻画因素间的因果关系,识别关键驱动因素。最后,使用Vensim PLE软件构建系统动力学模型,并验证合理性与有效性。此外,研究围绕五大核心维度设计生产技术改进、能源结构优化、资源优化配置、绿色价值提升、管理调整升级5条转型路径,对现有路径与综合调整路径共七类路径情景开展仿真模拟。仿真结果显示:各路径对转型均具有正向作用,同时与单一路径相比,综合调整路径更能促进绿色低碳转型,且该路径下绿色低碳转型指数增长了55.15%;在转型初期,能源结构优化路径作用显著;长期来看,生产技术改进路径发挥关键作用,后期对综合调整路径的贡献率高达49.43%。
文摘地下储气库(以下简称储气库)老井封堵施工,因井况复杂、动态交互性强,存在井筒窜气及封堵失效等高风险隐患。现有封堵井施工风险评价方法多依赖定性分析,难以量化关键因素间的非线性影响,且传统决策试验和评价实验室(DEMATEL)方法存在主观偏差问题。为此,基于模糊集理论改进DEMATEL算法,通过量化专家判断与引入原因度—中心度权重优化机制,构建了从系统级事故到不安全控制行为(UCA)的动态因果路径;然后结合概率阈值判定与多级风险传递分析,实现关键风险因素的定量排序与演化机理解析,最后建立了一种融合模糊逻辑与系统理论过程分析(Systematic Theory Process Analysis, STPA)的多尺度风险评价模型。研究结果表明:(1)融合改进的模糊DEMATEL与系统理论过程分析(STPA)方法能有效量化关键风险因素,通过引入原因度和中心度优化权重计算,显著降低了主观偏差,改进后方法的皮尔逊积矩(Pearson)相关系数优于传统模糊DEMATEL;(2)改进后的多级分析能对多个相互影响的风险因素进行多尺度的风险评价,确定不同风险因素的优化权重、相互间的因果关系、整体概率分布和传递路径;(3)多级风险传递路径分析揭示了不安全控制行为动态演化机制。结论认为,案例验证识别结果与施工现场实际风险高度吻合,该方法可以有效识别关键风险因素,且能够克服专家评价的模糊性与不确定性,为储气库老井封堵施工系统精准风险管控提供了理论和技术支撑。
文摘预制菜产业高质量发展离不开冷链物流的支撑,当前我国预制菜产业面临冷链物流服务体系不全、服务能力不强、服务成本偏高等问题。面对可预见的万亿级蓝海市场,提升冷链物流对预制菜产业的支撑能力,对实现预制菜产业高质量发展具有重要意义。从基础支撑条件、服务运营能力和提升保障能力3个维度系统构建预制菜产业冷链物流支撑力影响因素指标体系,并应用DEMATEL(Decision Making Trial and Evaluation Laboratory)方法计算各因素的影响度、被影响度、中心度和原因度,定量揭示各因素之间的相互作用关系和重要程度。研究表明,冷链物流企业综合实力、物流装备现代化水平、冷链物流信息化水平、技术创新与转化能力、数据要素赋能水平和土地资金能源保障能力是影响预制菜产业冷链物流支撑力的关键因素。同时,结合关键影响因素,针对性提出提升预制菜产业冷链物流支撑力的路径建议,以此为政府政策制定及企业管理决策提供参考。
