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.     

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.     

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.     

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.     

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...     

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.     

基于细胞元本体的协同制造资源共享

为实现广域分散的、异构制造资源的共享和集成,提出了一种基于细胞元本体的协同制造资源共享方法。详细介绍了细胞元本体的构建过程。细胞元本体统一描述高层次的语义信息,实现了产品全生命期的语义信息的动态获取。根据该框架,实现了一个原型系统,该系统实现了异构制造资源的语义互操作,为企业提供了更丰富的制造资源。     

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。     

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。     

A practical resource-searching method for manufacturing grid

Manufacturing grid has become more and more popular because it can realize the resource share and collaboration within the worldwide scope. In most cases, the resource and task information in manufacturing grid is fuzzy and uncertain, but the resource-searching methods now are focused on deterministic value and have some limitations for manufacturing grid. This paper proposes a unified information model in which the information parameters are described as a set of interval values, and the conversion rules from the given capability parameters into intervals are discussed. On these bases, a new optimized resource-searching method is designed to find the best required manufacturing resource for the task by calculating the interval distance of the task and the resources. The method is verified to be effective by an instance. Furthermore, it is practical by comparing it with other resource-searching methods.     

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。     

Common engines of cloud manufacturing service platform for SMEs

In order to improve the comprehensive competitiveness of small- and medium-sized enterprises (SMEs), a cloud manufacturing service platform for SMEs was implemented with the idea and model of cloud manufacturing (CMfg) in this paper. Using the transaction mode of multiple enterprises, multiple orders, and multi-party collaboration, the architecture and workflows of this cloud manufacturing service platform were designed. Some common engines, such as intelligent matching engine for supply and demand, transaction coordinating logic engine, and credit evaluation engine, were researched, which implement the semantic intelligent searching, order tracking, transaction task guiding, and collaborative management in the whole process of CMfg. As a case, this platform has been applied in the automobile and motorcycle parts manufacturing industry, which effectively integrates manufacturing service resources in this field through online services and offline services (O2O), achieving the effective management of service resources.     

制造资源能力与制造工艺约束的匹配度研究

为解决跨企业工艺扩散中制造资源与制造工艺的匹配问题,首先提出了制造工艺约束信息模型和制造资源能力信息模型,然后根据这两个模型包含的信息和信息之间的关系,提出了满足度和匹配度的概念.在此基础卜提出了满足度模型和匹配度模型.满足度模型与匹配度模型均为层级化模型,每个层级采用量化参数方式描述.给出了满足度模型和匹配度模型各个层级包含的信息,以及计算层级参数的方法.最后,通过一个实例验证了所提方法的有效性.     

Feature-based modeling of automobile gears and manufacturing resources for virtual manufacturing

The manufacturability evaluation is an important component of virtual manufacturing and concurrent engineering, and hot spot of this research is focused on manufacturability evaluation based on feature at present. In this paper, using the object-oriented modeling methodology, according to the manufacturing features of the gears used in automobile, the gears are classified into cylindrical gears and bevel gears to carry on the feature modeling separately; the manufacturing resources are classified into the basic information of the manufacturing equipments and the feature processing capability information to establish information models, and the association relationship of features, machine tools, and process equipment is established simultaneously. All of the models established in the article provide the information support for manufacturability evaluation and lay a good foundation for virtual manufacturing.     

Measuring manufacturing capability for couplers and wavelength division multiplexers

The couplers and wavelength division multiplexers have been widely used in high-speed, high-volume image data transmission systems to provide sufficient bandwidth and smaller channel spacing for greater throughput. In this paper, we develop a method for measuring the manufacturing capability of a process making couplers and wavelength division multiplexers. The proposed method measures the process capability of reproducing product items meeting the manufacturing specifications where multiple product quality characteristics are involved, including the polarization dependent loss, and the insertion loss, which are critical in fiber-optic transmission quality.     

基于物理制造单元的网络化制造资源建模及信息集成

针对分散的网络化制造资源,研究了基于物理制造单元的网络化制造资源建模,以及基于可扩展标记语言的制造资源信息模型和信息集成方法。建立了包括物理制造单元层、工作中心层和物理设备层的制造资源组织模型,定义了包括基本信息、制造能力、物理构成、状态信息、工装信息的物理制造单元信息模型。提出了制造资源信息的可扩展标记语言建模方法,研究了制造资源信息的XMLSchema描述规范,实现对异制造资源的描述;提出了基于可扩展标记语言的异地制造资源信息集成框架,应用于面向物理制造单元资源信息动态集成的网络化可重构制造资源优化配置平台开发。     

制造网格体系结构的多视图模型研究

提出了一个典型的制造网格体系结构的层次模型,在此基础上,提出用资源视图和功能视图、信息视图分别描述制造网格体系结构的资源组成、功能结构和信息结构,并用过程视图将前3个视图有机地连接为一个整体.通过一个典型的工作流程,导出制造网格体系结构多视图的关系模型,清晰地呈现出制造网格体系结构的全貌.最后,基于该模型,开发实现了一个制造网格资源管理和任务管理的原型系统,初步应用验证表明,该系统可实现资源的便捷共享.