Agile Supply Chain Management (ASCM) is an important topic and has received much attention recently. ASCM is a new management technology. Agile Supply Chain Management Decision Support System (ASCM DSS) is presented. ...Agile Supply Chain Management (ASCM) is an important topic and has received much attention recently. ASCM is a new management technology. Agile Supply Chain Management Decision Support System (ASCM DSS) is presented. Firstly, agile supply chain management technology is introduced. Secondly a decision support system for agile supply chain management is proposed. Then, the implementation of ASCM DSS in enterprise is discussed. Finally, a fuzzy intelligence decision making process in Shanghai Turbine Generator Company (STGC) is described in detail.展开更多
The rough set-genetic support vector machine(SVM) model is applied to supply chain performance evaluation. First, the rough set theory is used to remove the redundant factors that affect the performance evaluation of ...The rough set-genetic support vector machine(SVM) model is applied to supply chain performance evaluation. First, the rough set theory is used to remove the redundant factors that affect the performance evaluation of supply chain to obtain the core influencing factors. Then the support vector machine is used to extract the core influencing factors to predict the level of supply chain performance. In the process of SVM classification, the genetic algorithm is used to optimize the parameters of the SVM algorithm to obtain the best parameter model, and then the supply chain performance evaluation level is predicted. Finally, an example is used to predict this model, and compared with the result of using only rough set-support vector machine to predict. The results show that the method of rough set-genetic support vector machine can predict the level of supply chain performance more accurately and the prediction result is more realistic, which is a scientific and feasible method.展开更多
This paper proposes a novel approach, Markov Chain Monte Carlo (MCMC) sampling approximation, to deal with intractable high-dimension integral in the evidence framework applied to Support Vector Regression (SVR). Unli...This paper proposes a novel approach, Markov Chain Monte Carlo (MCMC) sampling approximation, to deal with intractable high-dimension integral in the evidence framework applied to Support Vector Regression (SVR). Unlike traditional variational or mean field method, the proposed approach follows the idea of MCMC, firstly draws some samples from the posterior distribution on SVR's weight vector, and then approximates the expected output integrals by finite sums. Experimental results show the proposed approach is feasible and robust to noise. It also shows the performance of proposed approach and Relevance Vector Machine (RVM) is comparable under the noise circumstances. They give better robustness compared to standard SVR.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
全面提升应急保障能力是统筹高质量发展与高水平安全的必然要求,也是提升我国物流业韧性的前提。实践中,面对管理环境与技术环境的双重变革,强化供应链成员之间的应急联动响应和释放数字技术赋能潜力成为完善应急物流体系的抓手。为了...全面提升应急保障能力是统筹高质量发展与高水平安全的必然要求,也是提升我国物流业韧性的前提。实践中,面对管理环境与技术环境的双重变革,强化供应链成员之间的应急联动响应和释放数字技术赋能潜力成为完善应急物流体系的抓手。为了阐明联动响应和数字技术赋能对应急运作决策的影响,本文构建由一个物流服务集成商(logistics service integrator,LSI)和一个物流服务提供商(logistics service provider,LSP)组成的物流服务供应链,分析需求和成本扰动下的最优应急运作决策结果。研究结果表明:第一,物流服务供应链中的集成商引领联动程度和提供商引领联动程度对应急服务定价、应急保障能力等最优决策以及消费者剩余具有正向影响。与直觉相反,即使联动响应成本被控制在合理水平,若无法设置恰当的价格分成比例,增强联动响应程度依然会导致供应链成员利润受损。第二,数字技术赋能程度对成员最优决策以及消费者剩余具有正向影响,其对LSI利润的影响取决于数字技术赋能的投资系数,对LSP利润的影响与消费者价格敏感程度相关。当消费者价格敏感程度相对较高时,LSP更有动力采用数字技术赋能实现降本增效。第三,应急情境下的需求扰动对最优决策、成员利润以及消费者剩余具有正向影响,成本扰动则对最优决策、LSI利润和消费者剩余具有负向影响。若消费者的价格敏感程度较低,LSP的利润反而会随成本扰动程度递增。展开更多
文摘Agile Supply Chain Management (ASCM) is an important topic and has received much attention recently. ASCM is a new management technology. Agile Supply Chain Management Decision Support System (ASCM DSS) is presented. Firstly, agile supply chain management technology is introduced. Secondly a decision support system for agile supply chain management is proposed. Then, the implementation of ASCM DSS in enterprise is discussed. Finally, a fuzzy intelligence decision making process in Shanghai Turbine Generator Company (STGC) is described in detail.
文摘The rough set-genetic support vector machine(SVM) model is applied to supply chain performance evaluation. First, the rough set theory is used to remove the redundant factors that affect the performance evaluation of supply chain to obtain the core influencing factors. Then the support vector machine is used to extract the core influencing factors to predict the level of supply chain performance. In the process of SVM classification, the genetic algorithm is used to optimize the parameters of the SVM algorithm to obtain the best parameter model, and then the supply chain performance evaluation level is predicted. Finally, an example is used to predict this model, and compared with the result of using only rough set-support vector machine to predict. The results show that the method of rough set-genetic support vector machine can predict the level of supply chain performance more accurately and the prediction result is more realistic, which is a scientific and feasible method.
基金Supported by the National Natural Science Foundation of China (No. 60972106, 61072103)China Postdoctoral Science Foundation (No. 20090450750)
文摘This paper proposes a novel approach, Markov Chain Monte Carlo (MCMC) sampling approximation, to deal with intractable high-dimension integral in the evidence framework applied to Support Vector Regression (SVR). Unlike traditional variational or mean field method, the proposed approach follows the idea of MCMC, firstly draws some samples from the posterior distribution on SVR's weight vector, and then approximates the expected output integrals by finite sums. Experimental results show the proposed approach is feasible and robust to noise. It also shows the performance of proposed approach and Relevance Vector Machine (RVM) is comparable under the noise circumstances. They give better robustness compared to standard SVR.
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。
文摘全面提升应急保障能力是统筹高质量发展与高水平安全的必然要求,也是提升我国物流业韧性的前提。实践中,面对管理环境与技术环境的双重变革,强化供应链成员之间的应急联动响应和释放数字技术赋能潜力成为完善应急物流体系的抓手。为了阐明联动响应和数字技术赋能对应急运作决策的影响,本文构建由一个物流服务集成商(logistics service integrator,LSI)和一个物流服务提供商(logistics service provider,LSP)组成的物流服务供应链,分析需求和成本扰动下的最优应急运作决策结果。研究结果表明:第一,物流服务供应链中的集成商引领联动程度和提供商引领联动程度对应急服务定价、应急保障能力等最优决策以及消费者剩余具有正向影响。与直觉相反,即使联动响应成本被控制在合理水平,若无法设置恰当的价格分成比例,增强联动响应程度依然会导致供应链成员利润受损。第二,数字技术赋能程度对成员最优决策以及消费者剩余具有正向影响,其对LSI利润的影响取决于数字技术赋能的投资系数,对LSP利润的影响与消费者价格敏感程度相关。当消费者价格敏感程度相对较高时,LSP更有动力采用数字技术赋能实现降本增效。第三,应急情境下的需求扰动对最优决策、成员利润以及消费者剩余具有正向影响,成本扰动则对最优决策、LSI利润和消费者剩余具有负向影响。若消费者的价格敏感程度较低,LSP的利润反而会随成本扰动程度递增。
