产业互联下面向云平台的智造供应链信息协作

平台的供应链信息协调问题,探索产业资源协作效率路径.本文提出云平台解决智造供应链信息协作的方案,该方案考虑了分布式协作理论应对庞大供应链业务数据的技术优势,构建了分布式下实时动态更新算法和共享数据资源池相结合的供应链企业数据互联互通协作模型,以提升产业制造的“智造”能力.最后以家居产业供应链进行分析论证,验证了云平台模型构建的可行性和有效性.     

Evaluating the interactions of multi-dimensional value for sustainable product-service system with grey DEMATEL-ANP approach

Thus far, researches related to sustainable product-service system (PSS) largely investigate the interrelationships of factors with a focus on consumer, and concentrate on the requirement identification for PSS design; few address the interactions of multiple value from different stakeholders in the sustainable PSS implementation. In this paper, the multi-dimensional value elements for sustainable PSS are recognized to maximize the mutual value among stakeholders and realize sustainable benefits in PSS, considering customer value perceptions, customer service requirements, sustainability potentials and partnership establishment simultaneously. Then the interdependencies of value elements are prioritized with a hybrid model, which incorporates Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytical Network Process (ANP) and grey theory. In accordance with cause-effect relationship, strength of interactions, as well as influential weight of criteria, the predominant value factors and the improvement direction for sustainable PSS are identified. The results of the present work can provide the decision-makers in manufacturing enterprise with theoretical guideline to implement sustainable PSS successfully from the perspective of multi-dimensional value coordination among different stakeholders.     

System construction for comprehensive industrial ecosystem oriented networked collaborative manufacturing platform (NCMP) based on three chains

In industrial manufacturing, with the deep integration and development of advanced digital technologies such as industrial big data, industrial Internet and industrial artificial intelligence with manufacturing industry, the manufacturing model is gradually developing and evolving from the direction of networking, platform, integration, collaboration and ecology. Therefore, for industrial manufacturing process, the research of construction of comprehensive industrial ecosystem oriented Networked Collaborative Manufacturing Platform (NCMP) system is great industrial application value by integrating network characteristics, platform elements, integrated mechanism, collaborative model and ecological format. In this paper, the system model of NCMP is constructed from four perspectives, including network perspective, collaborative manufacturing perspective, platform perspective, and industrial ecosystem perspective. Then, a system framework of NCMP based on three chains (manufacturing chain, value chain, and industrial chain) is proposed. Three collaborative subsystems of NCMP (vertical collaboration subsystem from multi perspective, horizontal collaboration subsystem from multi process, end to end collaboration subsystem from multi operator) are constructed. At last, a comprehensive system construction for NCMP in automobile industry is giving. The research results show that the most important elements to construct NCMP are purchasing department collaboration, demand department collaboration, design collaboration, data integration between enterprises and factories, etc.     

云制造环境下对称型企业制造资源共享演化博弈分析

为解决复杂制造业在制造资源共享和协同合作方面的难题,构建了云制造环境下制造资源共享的演化博弈模型。该模型揭示出资源服务提供企业和资源服务需求企业之间制造资源共享的演化作用关系,并基于系统动力学软件建立SD模型,对比分析不同参数变化对演化结果的影响。研究表明初始共享比例、平台管理能力系数、资源转化能力系数、资源协同能力系数、信息化效益系数、技术损失风险系数、渠道成本系数、惩罚成本系数、信任程度系数以及激励系数对博弈企业双方的策略演化结果均具有显著影响,促进云平台中企业信息互通、资源共享,须从上述方面管理改进。     

Service agent networks in cloud manufacturing: Modeling and evaluation based on set-pair analysis

In a cloud manufacturing system, manufacturing services form the service network and collaboration network. The performance of the networks can affect the cloud manufacturing system. Researchers can study the behavior of enterprises, service, resource and elements in cloud manufacturing through the simulation platform. In this paper, the service agent in the simulation platform can drive the manufacturing service to form a self-organization network, in order to conduct transactions and cooperation spontaneously. Thus, the service network of service agent and the collaboration network of service agent are formed. And the models of two kinds of networks are presented by the theory of Set Pair Analysis (SPA). In addition, an evaluation method for two kinds of network models is proposed. The simulation data of the networks are produced by the method of data generation in cloud manufacturing simulation platform. Finally, the evaluation methods of the networks are validated by the simulation data.     

协作态势驱动的自适应候选者协商维持模型

为提高云服务协作过程服务失效的替换成功率,提出一种云平台下协作态势驱动的自适应候选者协商维持模型,利用贝叶斯学习预测协商数据保留值,自适应提交协商议题,以维持与候选者的协商;通过对服务协作过程动态监测,动态优化服务候选集。实验结果表明,服务协商维持模型能适应协作过程变化,使服务协作具有良好的自适应性和健壮性。     

A pluggable service platform architecture for e-commerce

In the beginning of the e-commerce era, retailers mostly adopted vertically integrated solutions to control the entire e-commerce value chain. However, they began to realize that to achieve agility, a better approach would be to focus on certain core capabilities and then create a partner ecosystem around them. From a technical point of view, this means it is advised to have a lightweight platform architecture with small core e-commerce functionality which can be extended by additional services from third party providers. In a typical e-commerce ecosystem with diverse information systems of network partners, integration and interoperability become critical factors to enable seamless coordination among the partners. Furthermore an increasing adoption of cloud computing technology could be observed resulting in more challenging integration scenarios involving cloud services. Thus, an e-commerce platform is required that suites the advanced needs for flexible and agile service integration. Therefore, this paper aims to present a reference architecture of a novel pluggable service platform for e-commerce. We investigate on currently available online shop platform solutions and integration platforms in the market. Based on the findings and motivated by literature on service-oriented design, we develop an architecture of a service-based pluggable platform for online retailers. This design is then instantiated by means of a prototype for an e-commerce returns handling scenario to demonstrate the feasibility of our architecture design.     

A Multi-dimensional Trust-aware Cloud Service Selection Mechanism Based on Evidential Reasoning Approach

In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning(ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.     

ServBGP: BGP-inspired autonomic service routing for multi-provider collaborative architectures in the cloud

In this paper we propose the design and implementation of ServBGP, a service routing protocol for managing service collaboration among cloud providers in cloud computing. ServBGP is based on the policy-driven design of the well-known BGP Internet routing protocol to support the different service interaction models currently employed in the cloud particularly the monolithic, composite, and broker-based service models. The main contribution of this work lies in devising a system that autonomously manages the different aspects of service interaction and collaboration among service providers from service discovery and advertisement to service consumption and revocation. The ServBGP routing decision engine is designed to operate by (1) processing cost-bidding service advertisement and revocation messages from the different cloud providers and (2) extracting objective and trustworthy feedback which is maintained by certified network entities and which consists of a set of reputation scores related to quality of service, security, and pricing. The BGP-inspired design choice allows the proposed system to “stand upon the shoulders of giants” by relying on a time-tested protocol that currently supports scalable inter-domain routing services among over 120,000 IPv4 prefixes in the Internet. Moreover, reusing the decision logic of the standard BGP protocol aids in reducing the development and operational costs, hence shortening the time to market, and utilizing a large set of BGP extensions, particularly, in the security domain, that have been incorporated into BGP since its inception in 1989. These qualities are of a chief importance in the cloud community today to ensure the efficient and secure service collaboration among cloud providers and to support the evolution, scalability, and economic feasibility of the overall cloud computing infrastructure. A proof of concept implementation of the ServBGP design is realized on the NetKit network emulation and virtualization platform using the standard BGPv4 protocol. Moreover, the devised ServBGP design is developed from the ground up and deployed in a real cloud computing environment using Amazon EC2, Microsoft Azure, and Google App Engine cloud platforms.     

From cloud computing to cloud manufacturing

Cloud computing is changing the way industries and enterprises do their businesses in that dynamically scalable and virtualized resources are provided as a service over the Internet. This model creates a brand new opportunity for enterprises. In this paper, some of the essential features of cloud computing are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves. Cloud computing is emerging as one of the major enablers for the manufacturing industry; it can transform the traditional manufacturing business model, help it to align product innovation with business strategy, and create intelligent factory networks that encourage effective collaboration. Two types of cloud computing adoptions in the manufacturing sector have been suggested, manufacturing with direct adoption of cloud computing technologies and cloud manufacturing—the manufacturing version of cloud computing. Cloud computing has been in some of key areas of manufacturing such as IT, pay-as-you-go business models, production scaling up and down per demand, and flexibility in deploying and customizing solutions. In cloud manufacturing, distributed resources are encapsulated into cloud services and managed in a centralized way. Clients can use cloud services according to their requirements. Cloud users can request services ranging from product design, manufacturing, testing, management, and all other stages of a product life cycle.     

基于综合赋权和可拓理论的协作企业优选

为给汽车售后服务供应链云平台的核心企业选择优秀的协作企业,根据云平台不同核心企业对协作企业有不同的要求和标准,以及待评价协作企业的客观特征,采用基于层次分析法和模糊粗糙集法相结合的综合赋权法确定各协作企业评价指标的权重系数,用层次分析法确定主观权重,用模糊粗糙集法确定客观权重,再集成主、客观权重得到综合权重系数;最后基于可拓判别法对评价对象进行优度评价,结果为各评价对象的等级划分和优劣顺序.以汽车售后服务供应链云平台的售后服务商实际业务数据为实例进行对比分析,结果证明了方法的有效性和可行性,且较优于其它评价方法.     

基于J2EE架构的民航信息基础架构云平台设计

目前民航信息基础数据较多,使用存储信息容器数量不足的平台存储信息时,出现基础数据交互效果不佳的问题。为此,提出基于J2EE架构的民航信息基础架构云平台设计。采用磁盘阵列的方式进行数据存储,利用云终端通过虚拟桌面服务实现虚拟页面展示;构建民航信息基础架构云服务平台,根据民航信息基础云服务数据通信流程,设计多种功能模块,使用虚拟映射算法,模拟各个模块间的协同性,满足实时通信需求。测试结果表明,该平台最大吞吐量为4.4Gbit/s,最小吞吐量为2.6Gbit/s,与理想值一致。     

基于个人工作平台的三员协同机制

以个人工作平台为基础,使用集成与交换服务管理平台无缝对接专卖、营销和物流系统中的信息,通过数据共享实现全地区专卖市场管理员、客户经理和送货员信息互通;通过个人工作平台任务协同,及时获取市场信息,提高对零售户的服务质量和有效打击各类违法案件,最终实现零售客户满意度的提升。     

云计算仿真平台的构建与改进

由于应用服务受到复杂的组件、配置和部署条件等多维因素的影响,在实际的云计算数据中心配置不同参数进行测试分析是不现实的.因此使用模拟工具合理有效的进行资源和任务的调度分配策略仿真实验就尤为重要.基于此,本文介绍了三种主流云计算仿真平台,分别是:CloudSim、CloudAnalyst、CloudReports,对其各自的特点进行了分析比较,通过常用的任务调度策略分别对三种仿真平台进行了仿真实验,对其性能进行评估分析,并针对其存在的缺陷进行了改进和优化.     

团购模式下云制造服务资源组合优化模型与算法

在云制造服务环境中,为了进一步降低需求者的服务成本,提出了一种团购模式下云制造服务资源组合优化模型与算法。在云制造平台发展的初期阶段,以服务需求者的视角分析云制造服务资源组合优化管理问题,通过团购模式研究了资源组合优化模型与算法,模型中考虑团购定价、团购信任度等关键影响因素,对云制造资源组合优化进行综合决策;设计改进的遗传算法进行模型求解,进一步对团购模式下云制造服务资源组合模型进行仿真分析。通过不同规模问题的仿真实验验证了模型与算法的有效性和可行性,仿真结果表明,在团购规模逐渐增大的情况下,团购模式比个体模式更具有成本优势。     

基于Kubernetes的CI/CD平台

随着互联网的快速发展以及互联网业务、用户数量的不断增多, 越来越多的传统单体应用为了方便拓展新业务、增加可复用度, 已经选择将业务拆分为多个微服务, 这样可便于后期的管理和拓展. 但若以传统的方式在云平台去部署多个微服务是非常繁琐且消耗人力物力. 为了实现敏捷开发和快速部署, 减少开发与运维之间团队的时间损耗, 在分布式容器编排引擎平台Kubernetes的实验环境中, 研究在其中部署CI/CD流水线服务, 从而使代码到服务实现自动化构建.     

基于软件定义网络的云边协同架构研究综述

随着5G和物联网时代的到来以及云计算应用的逐渐增加,各有所长的边缘计算与云计算势必彼此融合进行云边协同,实现云计算与边缘计算的优势互补和协同联动.SDN网络因其灵活开放可编程的网络架构被认为是解决当前云计算和边缘计算协同问题的有效方法.基于云计算和边缘计算的优势与不足对云边协同的必要性和具体内涵进行了梳理,归纳总结了目...     

基于需求链的协同商务模型研究

深入研究了需求链管理和实施中面临的问题,分析了将协同商务引入需求链管理的必要性和必然性,并在此基础上,提出基于需求链管理的四层协同商务模型.模型利用网格技术搭建信息共享平台,充分利用网格技术的分布性、高效性、跨平台性等特点,有效共享实时信息.并在此信息共享平台之上,构建协同作业层、协同管理层以及协同预测层,实现面向需求链的企业联盟的ERP、CRM系统的集成,实现企业间生产、销售、库存、物流等方面的协同管理.     

面向服务的水泥企业信息系统集成架构

为满足水泥企业流程重组与业务协同对企业信息系统的要求,在充分考虑水泥企业的信息化现状的基础上,综合利用混合云的优势,以面向服务的方法构建了水泥企业信息系统应用集成架构,设计了一种针对大型水泥企业的服务划分算法,以移动服务和设备诊断检测服务为例详细阐述了服务实现的过程.以该应用集成架构为基础构建了某水泥企业应用集成平台,充分利用了云端资源及企业内部信息资源,实现了该水泥企业信息系统的应用集成、共享及远程访问,满足了该企业满足科学管理、流程优化、协同业务等信息化需求.     

以智慧能源服务平台为载体打造能源服务产业链

我国提出“双碳”、“产业生态化”与“数字化发展”的政策方向。南方电网提出向“三商转型”与打造平台型企业的战略目标。广东电网提出以客户代维为切入口构建能源服务生态圈的规划。广东电网能源投资有限公司践行南方电网战略与广东电网规划,以云计算、大数据、物联网、移动互联网、人工智能、区块链等新一代数字技术为核心驱动力搭建“粤能投”智慧能源服务平台,以数据为关键生产要素推动客户管理、营销推广、业务应用、创新孵化、决策管控等多项专业高效协同,以产业链上下游合作伙伴、代维服务商、设备供应商、综合能源服务商的聚合打造一个共享、开放、共赢的能源服务生态,从而实现数据为公司的业务赋能与管理赋能,并促进公司向能源价值链整合商转型。