Multi-task scheduling of distributed 3D printing services in cloud manufacturing

The problem of service matching and scheduling in cloud manufacturing (CMfg) is complex for different types of manufacturing services. 3D printing, as a rapidly developing manufacturing technology, has become an important service form in the CMfg platform due to its characteristics of personalized manufacturing. How to solve the task scheduling problem for distributed 3D printing services in CMfg needs further research. In this paper, a service transaction model of 3D printing services in CMfg is built. Based on the service transaction model, we propose 3D printing service matching strategies and matching rules of different service attributes, including model size, printing material, printing preciseness, task cost, task time, and logistics. To reduce the delivery time of tasks from service suppliers to service demanders, a 3D printing service scheduling (3DPSS) method is proposed to generate optimal service scheduling solutions. In 3DPSS, optimization objective, constraints, and optimization algorithm are presented in detail. Experimental results show that the average task delivery time of 3DPSS is shorter than that of typical scheduling methods, such as particle swarm optimization, pattern search, and sequential quadratic programming, when the amounts of tasks change.     

Research on the impact of service provider cooperative relationship on cloud manufacturing platform

As an emerging service-oriented manufacturing paradigm, Cloud Manufacturing (CMfg) is expected to provide smart networked platforms that enable efficient global collaborations among cloud service providers in a product lifecycle. The service provider cooperative relationship (SPCR) plays a crucial part in cloud service scheduling and thus potentially influences the operational performance of a CMfg platform. The guaranteed SPCR could ensure service quality and reduce the interaction costs among service providers in the process of collaborative manufacturing tasks, thereby having a positive impact on the operational efficiency of a CMfg platform. The cost reduction and quality assurance, however, usually make the cost-effective services more attractive for an increasing number of manufacturing tasks and lead to load imbalance in a CMfg platform, thus having a negative impact on the operational efficiency. The impact mechanism of SPCR on a CMfg platform is still unclear from an evolutionary perspective. In this paper, we propose a CMfg platform evolution model (CPEM) to investigate the impacts of SPCR on the operational performance of a CMfg platform. Three quantitative metrics, from the perspective of cloud consumer, cloud operator, and cloud service provider, respectively, are established to support the performance evaluation. The results of contrast experiments reveal the impacts of SPCR on a CMfg platform.     

Research on technologies and application of data mining for cloud manufacturing resource services

Nowadays, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for better implementing CMfg services is how to address the problems faced by distributed massive and polymorphic data analysis and processing of manufacturing resource services in CMfg environment. In order to handle the problems, and promote development integration and business application of data mining, the research on technologies and application of data mining for cloud manufacturing resource (CMR) services has been carried out in this paper. The data mining application model and multi hierarchy architecture of CMR services are designed, and the topology of resource service data integrating process based on multi-Agent is presented. Besides, the preprocessing method of manufacturing resource data is proposed, and a CMR virtual data warehouse is established as well. In addition, an improved genetic algorithm oriented to manufacturing resource services is put forward, so as to achieve efficient searching and mining of massive polymorphic data. Finally, a case study is employed to illustrate the effectiveness and applicability of the proposed method in CMR service platform.     

Cloud manufacturing service platform for small- and medium-sized enterprises

In order to address the key problems faced by small- and medium-sized enterprises (SMEs), existing solutions and shortcomings were analyzed. The possibilities by using the new emerged technologies and theories (e.g., cloud computing, internet of things, service-oriented technology) to solve the bottlenecks faced by SMEs are investigated. The idea of manufacturing resource and capability sharing based on cloud computing for SME is discussed, and an SME-oriented cloud manufacturing service platform (SME-CMfgSP) is introduced. The architecture of SME-CMfgSP is proposed, and the key technologies for implementing SME-CMfgSP are introduced in details. The challenges for implementing cloud manufacturing service platform for SMEs were discussed. A case study is described to illustrate the application of the proposed SME-CMfgSP.     

云制造环境下基于离散Markov跳变系统的机床装备资源动态优选方法

针对云制造环境下加工任务执行过程中机床装备资源易受紧急插单、加工质量异常、设备运行故障等高频随机扰动影响,致使产品加工服务质量(QoS)不能满足客户个性化需求的问题,提出一种基于离散Markov跳变系统的机床装备资源动态优化选择方法.首先,结合云制造服务运行特点,构建了云制造环境下面向加工任务执行过程的服务质量动态演化...     

面向用户偏好的智能云服务平台研究

分析了云制造当前国内外研究现状,立足于云制造以用户为中心的核心思想,在云服务平台上,当用户需求不明确与面对云服务平台上海量服务云时,以用户对LED灯具的需求为例分析了面向产品全生命周期某个服务阶段和面向产品全生命周期服务链的个性化服务模式。提出了一种面向用户偏好的智能云服务平台体系架构,对实现面向用户偏好的个性化服务模式所涉及的关键技术进行了分析,为未来实现面向用户偏好的智能云服务平台提供了理论支撑。     

云制造下的企业产品平台服务模式初探

产品平台技术能有效整合企业产品开发资源,在云制造下提供产品平台服务可以利用多家企业的业务优势,迅速响应动态和不可预测的市场需求,更快的生产出高质量、低成本、多样化的产品。云制造下的产品平台服务模式,包括面向产品设计仿真云服务模式、面向虚拟制造企业动态协作云服务模式和面向制造企业公共服务平台云服务模式等。同时,为支持云制造企业内部或企业间的协同产品开发工作,提出云制造下的产品平台服务执行架构。     

云制造软资源封装研究

在研究现有制造资源的属性描述方法和封装模型的基础上,根据云制造汇聚资源服务进行集中管理以及为多个用户同时提供服务的特点,建立了一种新的基于Web服务的云制造软资源封装架构,并设计出通用软资源描述模型,结合该模型给出软资源封装的一般流程。通过数字化制造支持系统与PDM集成的实现,验证了云制造软资源的属性描述、封装模型建立和封装流程的可行性及合理性。     

Application modes of cloud manufacturing and program analysis

Service-oriented manufacturing is a trend in the manufacturing industry in the 21st century. Numerous theories related to this trend have been proposed. In particular, three typical theories, namely, industry 4.0, industrial Internet, and cloud manufacturing (CMfg), are discussed in this paper, including their differences. Existing problems in CMfg are analyzed. From the perspective of the service supplier, and by considering former research, three application modes of CMfg are proposed. A 3D printing application mode of CMfg is presented based on the characteristics of 3D printing and discussed in detail. The key technologies of 3D printing in CMfg are explained according to the differences between traditional manufacturing and CMfg.     

云制造软资源封装研究

在研究现有制造资源的属性描述方法和封装模型的基础上,根据云制造汇聚资源服务进行集中管理以及为多个用户同时提供服务的特点,建立了一种新的基于Web服务的云制造软资源封装架构,并设计出通用软资源描述模型,结合该模型给出软资源封装的一般流程。通过数字化制造支持系统与PDM集成的实现,验证了云制造软资源的属性描述、封装模型建立和封装流程的可行性及合理性。     

基于Agent和工作流的跨企业协同制造支持系统

通过分析跨企业协同制造业务过程,提出基于Agent的柔性工作流驱动的跨企业协同制造支持平台,其核心是一组自主交互的智能Agent,通过Agent之间的协作实现协同制造任务建模、制造任务动态调度与分配、制造资源管理及制造过程管理等功能。讨论了系统结构设计、关键技术及系统实现,并以航空发动机企业间协同制造为例进行验证。系统表现了较好的模块化特性、柔性和开放性,并可能在敏捷供应链及扩散制造方面获得进一步应用。     

面向产品快速开发的RP&M网络化服务集成系统

为了提升广大中小企业的新产品快速开发能力和速度,研究和开发了RP&M网络化服务集成系统。针对该系统,提出了一种全新的RP&M网络化服务集成系统的框架;阐述了它的工作流程和功能模块的详细设计;深入论述了系统关键技术的实现。通过对该系统中的技术信息平台、电子商务平台、制造服务平台的紧密集成,在远程用户、服务中心和协同制造企业建立一个协同生产制造的环境,实现制造资源的共享和技术资源的优势互补。众多的应用案例表明,该系统对加快中小企业的新产品快速开发具有很高的潜能。该系统的实现体现了当前企业策略和制造组织结构的基本转变。     

制造资源云集成元建模及云Agent服务调度研究

针对云制造过程中的制造资源虚拟化问题,分析了制造资源的存在形态、构成及其属性,提出基于RFID技术与对象名解析服务的制造资源感知与追溯逻辑架构,以实现物理制造资源虚拟化;通过建立虚拟制造资源静态-动态集成元模型,为异构、动态的虚拟制造资源的重组和融合提供统一描述机制;在此基础上,将移动Agent和云服务发现机制相融合,提出云Agent（cloud  Agent）的概念,并基于资源中介的改进合同网机制,实现云制造服务自适应管理和调度;给出了面向复杂产品协同的制造资源云服务平台原型系统,并结合汽轮机制造服务协同应用案例,初步实现了制造资源虚拟化和服务部署。     

面向中小企业信息化的云服务选择

中小企业由于规模小、人才缺乏、资金短缺,需要一次性投入低、实施周期短、扩展性强、高质量的信息化产品。传统的信息化模式难以满足中小企业的信息化需求,而云计算具有低成本、灵活性强、按需服务等特点为中小企业信息化提供了新的应用模式。结合相关文献总结了云计算现有的服务并按服务特点将其分为三类:基础云服务、辅助云服务和衍生云服务,提出了基于企业分类的云服务选择方法,为中小企业信息化应用云计算提供了新思路。     

基于云制造的中小企业零件加工模式研究

为提高中小企业在零件加工制造过程中资源的利用,分析了目前中小企业零件加工过程中存在的问题,提出了基于云制造的零件加工服务模式,建立了基于云制造的中小企业零件加工体系结构及运行模式,研究了零件加工云制造服务平台实现的关键技术。     

智能制造发展及应用前景研究

改革开放以来,我国的工业迅速发展,目前已经成为全球制造业门类最全的制造大国,是当今世界经济发展重要引擎之一,但同时制造业“大而不强”的问题也越来越制约我国制造业的进一步发展。21世纪以来,随着新一代信息技术的飞速发展,诞生了制造业信息化、智能化、服务化为特征的新一轮工业革命,发达国家纷纷推出工业化战略,谋求进一步拉大与我国的差距。在面对全球制造业重大调整的大潮流下,我国也提出了“中国制造2025”战略计划,并将智能制造作为该计划的主攻方向。     

A study of optimal allocation of computing resources in cloud manufacturing systems

As a new advanced service-oriented networked manufacturing model, cloud manufacturing (CMfg) has been proposed recently. The optimal allocation of computing resources (OACR) is a core part for implementing CMfg. High heterogeneity, high dynamism, and virtualization make the OACR problem more complex than the traditional scheduling problems in grid system or cloud computing system. In this paper, a new comprehensive model for OACR is proposed in the CMfg system. In this model, all main computation, communication, and reliability constraints in the special circumstances are considered. To solve the OACR problem, a new improved niche immune algorithm was presented. Associated with the niche strategy, new heuristics are designed flexibly based on the characteristics of the problem and pheromone is added for adaptive searching. Experiments demonstrate the effectiveness of the designed heuristic information and show NIA’s high performances for addressing the OACR problem compared with other intelligent algorithms.     

智能制造 调度为先——《制造系统智能调度方法与云服务》导读

随着越来越多小微型企业对制造车间“万物感知、万物互联、万物智能”的需求,结合大数据和云计算技术,针对制造资源和生产任务,构建多种制造类型下的调度算法库,提供智能调度方案,是实现制造系统高效运行的关键。为了探讨智能调度的原理、方法和云端化实现路径,笔者撰写了《制造系统智能调度方法与云服务》一书,全面介绍了制造系统中多种复杂调度问题,重点介绍了各类调度问题对应的调度方法,结合云服务框架介绍了不同调度方法的云端化技术与实现方式,搭建了基于云计算的制造车间智能调度算法库及服务系统。本书为推动我国制造业的智能化发展和企业应用提供参考,对提升我国制造业的核心竞争力具有重要意义。     

云制造——面向服务的网络化制造新模式

为求解更加复杂的制造问题和开展更大规模的协同制造,分析了目前应用服务提供商、制造网格等现有网络化制造模式在应用推广等方面遇到的问题,阐述了云计算服务模式、云安全、高性能计算、物联网等理念和新技术对解决网络化制造中运营、安全等问题的契机。在此基础上提出了一种面向服务的网络化制造新模式——云制造。给出了云制造的定义,分析了云制造与应用服务提供商、制造网格等的区别。提出了一种云制造的体系结构,讨论了实施云制造所需攻克的关键技术和所取得的成果。最后,给出了一个云制造的典型应用案例——基于云仿真原型平台的云设计。