集群式供应链中基于约束层次和模糊偏好的供应商评价选择模型

针对集群式供应链中采购商选择供应商过程中出现的过约束问题,提出一种基于约束层次和模糊偏好的供应商评价选择模型.该模型基于约束层次理论,依据采购商对供应商约束的必需性程度,将约束分为强制性约束层和非强制性约束层;同时采用模糊偏好的量化方法来确定采购商对供应商的模糊偏好,简化了供应商的选择过程;另外,该模型改进了约束层次理论中的全局评价算子,基于线性加权法构造了基于强制性约束层评价模型和非强制性约束层评价模型的供应商综合评价模型,提高了供应商选择的成功率.最后通过算例验证该模型是有效的.     

供应商协同能力评价指标体系研究

供应链协同已经成为供应链集团在与其他集团之间日趋激烈的竞争中创造竞争优势的势在必行的现代管理战略,供应商选择对供应链协同至关重要。通过控制进化种群划分与进化过程,利用压缩变异与Gauss变异设计一种组合变异方式,进而提出改进的模糊C-均值聚类遗传算法（IFCMGA）;在初步确定面向供应链协同的供应商评价指标后,利用IFCMGA算法对供应商协同能力评价指标进行分类,构建了面向供应链协同的供应商评价指标体系。结合模糊层次分析法与重要指标筛选法进行指标分析和筛选以及指标体系重构,以为供应商评价与选择提供科学决策依据。     

基于云模型的煤炭企业物资供应商综合评价

由于煤炭物资的特殊性,供应商所提供物资的质量,供货的及时性等诸多因素都关系到煤矿企业的安全生产问题,因此,物资供应商的选择对煤炭企业的安全生产极其重要。在现有供应商评价指标体系的基础上,应用云理论修正了部分指标的权重,摒弃了以往研究的硬划分,引进了云模型对评价等级概念进行了软划分,利用云理论的正向云发生器,逆向云发生器,X条件云发生器建立了物资供应商的云评价模型,进行了实例评价,验证了模型的有效性,挖掘出了更多有价值的信息,为煤炭企业合理、科学地选择供应商提供可靠的决策依据。     

面向产业链协同SaaS平台的表单动态配置技术

针对产业链协同平台在运行服务过程中各协作企业群业务需求的动态变化,建立了面向软件即服务(SaaS)平台的表单配置模型,利用表单结构及表单元素与XML文档的模式映射,支持表单配置模型的存储及动态加载.提出了核心企业对表单内容的操作权限在线动态分配方法,并采用表单配置文件访问接口实现表单在线动态更新技术.通过将动态表单配置技术应用于产业链协同SaaS平台,提高了平台的灵活性,使企业对信息系统的管理拥有更大的主动性和控制权.     

工矿企业供应商协同管理平台设计

为解决传统工矿企业供应商管理系统功能不完善、耦合度高、稳定性差、维护及使用成本较高等问题,提出了基于Silverlight及模型-视图-视图模型的工矿企业供应商协同管理平台解决方案,详细阐述了平台结构、主要功能模块设计及基于模型-视图-视图模型的平台实现。实际应用表明,该平台运行效果良好,有效降低了使用成本,提高了管理效率。     

面向产业链协同SaaS平台的事件协同感知技术研究

为了解决业务关联的产业链协同SaaS平台不同企业对象间基于事件的动态协同感知问题,建立了基于业务事件的平台协同对象感知模型,提出了基于AOP技术的业务事件动态捕获机制、业务关联的协同对象列表产生器实现算法和基于GSM信号增强技术的事件消息发布方法。该模型和算法已在汽车零部件产业链协同SaaS平台上进行了应用,能满足汽车售后服务等复杂业务过程中跨单核企业联盟的业务协同需求。     

面向产业链协同SaaS平台的表单动态配置技术研究

针对产业链协同平台在运行服务过程中各协作企业群业务需求的动态变化,建立了面向软件即服务(SaaS)平台的表单配置模型,利用表单结构及表单元素与XML文档的模式映射,支持表单配置模型的存储及动态加载。提出了核心企业对表单内容的操作权限在线动态分配方法,并采用表单配置文件访问接口实现表单在线动态更新技术。通过将动态表单配置技术应用于产业链协同SaaS平台,提高了平台的灵活性,使企业对信息系统的管理拥有更大的主动性和控制权     

面向汽车产业链协同平台的配件库存信息动态集成技术

为实现对汽车产业链协同平台服务商、二级中心库售后配件库存信息的动态集成和实时查询,构建了面向协同平台的配件库存信息动态集成模型,提出了查询事件和协作关系驱动的信息动态集成算法。研究了分布式数据源并行查询优化技术、多源异构数据转换处理技术、基于API变化捕获的数据库同步方法,实现了对各服务商、二级中心库实时配件库存信息的Web封装及动态调用。提出的模型与算法在汽车产业链协同平台上实现了应用验证。     

支持动态会商的新型协同办公平台研究

为了进一步提高办公平台的协同工作能力,提出了一种支持动态会商的新型协同办公平台,它不仅支持基于工作流的异步任务传递的审批工作方式,而且能够为工作人员灵活提供群体同步协同审批的工作环境.阐述了该新型协同办公平台的基本运行模式,对工作流系统中会商工作方式进行了分析,在此基础上给出了动态会商的流程模型并提出了会商活动.最后对新型协同办公平台的功能模块与系统结构进行了设计.     

供应链协同平台搭建的关键点

先争取有明确供应链协同需求的合作方,打消这些合作方关于协同中的信息资产安全的疑虑,争取大多数。     

物流服务供应链绩效动态评价研究

针对动态变化的物流服务供应链状态,设计改进型QFD模型,利用模糊评估法对不同历史时期物流服务供应链绩效进行评价;利用前期评价结果,应用Markov预测方法对未来物流服务供应链进行预测,以达到更好控制绩效的目的。最后,结合算例对该动态绩效评价模型进行验证分析。     

Horizontal collaboration in semiconductor manufacturing industry supply chain: An evaluation of collaboration intensity index

This paper aims to provide a generic quantitative model to comprehensively assess the degree of collaboration with individual horizontal collaboration initiatives with a view to check feasibility for satisfying the customer requirements. The analytic hierarchy process–fuzzy logic model (AHP–FLM) approach is chosen for developing the model, a method that is often used to tackle complex strategic decision making that calls for subjective judgment based on well-established logical reasoning, rather than on simple feeling and intuition. In the process, the complex and unstructured problem for ‘compatibility test’ is broken down into elements, and then a customized hierarchy structure is set up to demonstrate the relationship between different hierarchy levels and among these elements. Each element may have a different level of importance for the horizontal collaboration. A fuzzy rule based collaboration intensity index (CII) is developed to build up the relationships among these evaluation attributes. Synthesizing the generic relative importance and the forecasted degree of collaboration, the proposed approach can determine the success of the collaboration initiative. An illustrative example of a semiconductor industry supply chain (SSC) member that intends to partner with a potential and competing candidate enterprise is developed to demonstrate the applicability of the proposed fuzzy strategic alliance selection framework and to measure the effectiveness of a horizontal collaboration initiative.     

基于ACP的集群式供应链复杂性研究

为了帮助中小型企业(SMEs)应对经济全球化的挑战,"集群式供应链"的概念作为一种新型管理模式被提了出来。作为产业集群和供应链相耦合的新型企业网络,集群式供应链是真正的复杂动态系统,具有内在的复杂性,传统的建模分析工具难以奏效。基于此背景,引入了复杂系统研究中的"人工系统+计算实验+平行执行(ACP)"方法,用于分析集群式供应链中企业协同的复杂性,从而支撑服务系统的构建,促进集群式供应链模式的实践与推广。     

Association rule hiding in risk management for retail supply chain collaboration

Association rule hiding is an efficient solution that helps enterprises avoid the risk caused by sensitive knowledge leakage when sharing data in their collaborations. This study examines how data sharing has the potential to create risk for enterprises in retail supply chain collaboration and proposes a new algorithm to remove sensitive knowledge from the released database based on the intersection lattice of frequent itemsets. The proposed algorithm specifies the victim item such that the modification of this item causes the least impact on frequent itemsets and the non-sensitive association rule. In the experiment described in this paper, this algorithm is used in risk avoidance for a retailer sharing data in retail supply chain collaboration. The results indicate that our approach is applicable in a real context and outperforms previous mechanisms.     

Vertical collaboration in the semiconductor industry: A decision framework for supply chain relationships

Vertical collaboration problem focuses on integrating and modeling the decision problems of the suppliers and buyers together with the market intermediary by identifying the inefficiencies in the traditional marketplace and aligning the incentives of members in the e-marketplace. The present work develops and solves real life e-marketplace models for complex buyers–suppliers procurement problems by estimating the order quantities in the collaborated supply chain. The newsvendor framework considers demand to be independent of the selling price as is generally the case in the semiconductor industry supply chain dealing with techno-savvy customers. The vertical collaboration process would be more effective if the length of the planning horizon and order size is considered as a negotiation parameter between the buyer and supplier. It is observed that the supplier’s expected profit function increases with the buyers’ ordering quantity, which is important in characterizing the general structure of the collaboration scheme of the supply chain.     

面向第三方的云平台可信性在线评测及分析技术

云计算的服务模式对用户数据安全产生的严重威胁,必须通过第三方对云计算是否可信进行评测,才能保障云计算产业的健康发展。由此,总结了国家高技术研究发展计划课题“面向第三方的云平台可信性在线评测及分析技术”的研究内容与成果,描述了从云平台可信评测模型与体系结构、可信性动态评测技术、可信证据收集及可信测试机制、可信性的多维量化评估方法、评测原型系统与工具集5个方面的研究工作,并对云平台的可信性进行评测。     

整合供应商选择的多层级选址-库存模型

针对多级供应链网络设计中选址和库存一体化决策问题,基于梯级库存策略,建立了整合供应商选择的多层级选址-库存模型。模型以网络中供应商的选择成本、工厂和配送中心的打开成本、层级之间的运输成本、库存成本、采购成本和生产成本之和最小为目标,同时对供应商的选择、工厂和配送中心的选址、配送中心对顾客的分配、层级之间的运输量、工厂和配送中心的订货批量进行决策。为了求解所建立的模型,设计了基于部分编码的粒子群优化算法。20个不同规模的算例测试表明：所建立的模型是有效的,能用于多层级供应链网络的设计;所设计的算法无论是在求解精度,还是在运算速度上都明显优于数学优化软件Lingo 9.0,尤其是当供应链网络中总节点数较大时。     

Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform

Cloud Manufacturing (CMfg) has gained significant attention owing to its capability in reshaping the cooperation paradigm among multiple geographically dispersed enterprises, which is conducive to handle a complex production task flexibly through the industrial internet platform. Cloud Service Assembly (CSA) is concerned with integrating a series of services together for serving a complex manufacturing task, which, as one of bottlenecks for CMfg, plays a critical role in efficient utilization of resources. Evolutionary Algorithms (EAs) have been widely used in resolving CSA in the past. However, they are always executed from scratch for tackling a single task in each run, whereas handling a batch of tasks collectively via leveraging inter-task knowledge transfer has been scarcely studied. Notably, CMfg is often faced with situation of multiple tasks arriving dynamically. In light of this, we propose a Multi-task Transfer EA (MTEA), where several service collaboration tasks are optimized jointly to speed up the search efficiency by exploiting knowledge extraction among tasks. Specifically, data models derived from evolving populations are learned to capture valuable knowledge for transfer so as to boost problem-solving efficacy, a parameter online learning strategy is utilized to tune the intensity of knowledge transfer across tasks. Extensive experiments are conducted on a series of CSA instances, results prove the feasibility and competence of MTEA against state-of-the-art peers.     

供应链动态合作广告策略

研究产品信誉受广告投入水平影响的供应链合作广告问题,建立具有广告投入水平抑制作用的产品信誉动态模型.通过哈密顿-雅可比-贝尔曼方程分别得到制造商和零售商在分散决策和集中决策下的最优广告策略以及在分散决策下制造商的最优合作广告参与率,比较发现,集中决策下制造商和零售商的最优广告投入水平高于分散决策下的相应值.设计了双边补贴策略来协调供应链.数值仿真实验验证了所得结论的正确性.     

量化风险的等级保护测评方法及平台设计

研究了等级保护测评的相关技术,针对当前等级保护测评中存在的典型问题,如风险分析不够准确、测评效率低、测评结果客观性不足等,提出一种量化风险的等级保护测评模型,将系统业务重要性因素引入风险分析环节,能较为可观的量化风险.基于该模型,设计并实现了分布式的等级测评平台(RQEP),能大大提升等级测评的效率,使测评过程更加规范化、标准化.