基于XML的制造资源集成平台研究及实现

首先介绍了制造资源集成平台的工程背景,为了解决工程中存在的“信息孤岛”现象,提出基于XML文件的企业制造资源集成平台的设计,分别对基于XML文件的制造资源信息中性文件生成器及基于XML文件的制造资源信息中性文件解析器的具体实现进行了分析和探讨。     

基于语义Web的网络化制造信息集成的研究

分析了当前网络化制造环境下企业资源共享和信息集成的现状及存在问题,结合语义Web技术,提出了网络化制造环境下企业资源信息集成平台的体系结构,为企业资源在语义层及企业本体上的集成提供了实现方式,并将体系结构应用于有色金属行业中,通过实际应用验证了系统的可靠性和稳定性.     

网络化制造系统中资源信息集成方法的研究

分析了网络化制造系统中的资源信息集成的必要性。介绍了Web Service技术的特点，论述了用Web Service技术解决资源信息集成的方案及其可行性和有效性。根据成、德、绵区域网络化制造系统中的资源信息集成的开发实践，详细介绍了基于Web Service的资源信息集成系统的设计和实现过程，并给出了核心代码和运行实例。     

OAGIS集成规范的研究与应用

为解决制造企业中的应用集成问题，对国外的OAGIS集成规范进行了深入研究。介绍了该集成规范的研究背景和应用进展，洋细阐述了其核心内容，并从技术角度分析了其显著特点；在此基础上，应用集成规范中的先进技术和思想，研究并实现了基于制造资源优化配置的制造过程集成管理系统。通过实践工作，总结了OAGIS集成规范在制造企业集成中的应用和发展方向。     

网络化制造中企业应用系统集成方法研究

网络化制造中要做到企业间资源的共享和协同工作,其应用系统的集成问题最为关键.本文就CORBA,DCOM,RMI以及JINI等几种分布式信息集成方法进行了详细的分析并对这些方法作了对比,指出这些集成方法各自的优势和不足.然后根据全球化网络制造对系统集成的需求,提出了基于Web Service架构的系统集成方案.它是一种跨平台,动态的松散耦合方法,能够满足网络化制造对系统、资源集成的特殊要求.     

制造网格中制造资源描述机制研究

为实现资源共享和协同工作,制造业对公共技术及服务平台的需求越来越强烈。将网格技术运用到制造业领域,提出了制造网格的概念。基于本体的知识集成方法,改变原有数据库集成中使用中间代理、软件接口等技术所造成的语义信息不清、信息丢失等缺陷,为企业实现制造资源共享和集成提供了解决方法和理论依据。     

面向工程信息的一致性敏捷建模技术

计算机辅助工艺设计（ＣＡＰＰ）系统以及计算机集成制造系统（ＣＩＭＳ）中的信息模型是整个系统的基础,因此对工程信息的建模技术研究具有重要意义。敏捷制造是指在持续变化和不可预测的市场竞争环境中,通过集成重组企业组织、技术和信息资源,构造一种能对市场需求作出快速响应的柔性生产方式和制造环境,以共同赢利（Ｗｉｎ－Ｗｉｎ）为原则,通过协同生产方式构建敏捷企业（ＡｇｉｌｅＥｎｔｅｒｖｒｉｓｅ）,以便在日趋激烈的全球化市场竞争中求得生存和发展。对市场和用户需求的快速响应首先要求工程系统中的信息模型是柔性的,并…     

基于STEP与XML的虚拟企业制造信息共享及信息安全研究

在对虚拟企业制造信息的集成框架进行分析的基础上，本文研究了基于XML与STEP如何实现虚拟企业制造信息共享及信息安全问题，讨论了从STEP到XML的转换和XML安全技术。最后，举例说明了虚拟企业制造信息集成的实现。     

制造网格中制造资源描述机制研究

为实现资源共享和协同工作，制造业对公共技术及服务平台的需求越来越强烈。将网格技术运用到制造业领域，提出了制造网格的概念。基于本体的知识集成方法，改变原有数据库集成中使用中间代理、软件接口等技术所造成的语义信息不清、信息丢失等缺陷，为企业实现制造资源共享和集成提供了解决方法和理论依据。     

网络化制造打造首都先进制造业

“十五”期间,北京市将制造业信息化工程定位于网络化制造,取得了明显的成效,成为制造业信息化工程建设项目的一个亮点。网络化制造是指制造企业基于网络技术开展产品设计、制造、销售、采购、管理等一系列活动的总称。其核心是利用网络,特别是Internet,通过企业之间的信息集成、业务过程集成、资源共享,对企业开展异地协同设计制造、网上营销、供应链管理等提供技术支撑环境和手段,实现产品商务、设计、制造和供应链的协同,从而缩短产品的研制周期和费用,提高整个产业链和制造群体的竞争力。“我们在多种信息化模式中选择网络化制造这种模…     

Implementation of rule-based information systems for integratedmanufacturing

Focuses on the development of a methodology within a software environment for automating the rule-based implementation of specifications of integrated manufacturing information systems. The specifications are initially formulated in a natural language and subsequently represented in terms of a graphical representation by the system designer. A new graphical representation tool is based on updated Petri nets (UPN) that we have developed as a specialized version of colored Petri nets. The rule-based implementation approach utilizes the similarity of features between UPN and the general rule specification language used for the implementation. The automation of the translation of UPN to the rule specification language is expected to considerably reduce the life-cycle for design and implementation of the system. The application presented deals with the control and management of information flow between the computer-aided design, process planning, manufacturing resource planning and shop floor control databases. This provides an integrated information framework for computer integrated manufacturing systems     

Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing

The sharing economy has been recognized a mutually beneficial economic mode. Deriving from the concept of sharing economy, shared manufacturing was proposed under the support of advanced information and manufacturing technologies. As a core part of implementing shared manufacturing, manufacturing resource allocation aims to coordinate cross-organizational resources to provide on-demand services for personalized manufacturing requirements. However, some challenges still hinder effective and efficient resource allocation in shared manufacturing. Traditional centralized optimization methods with only one decision model are difficult to maintain autonomous decision rights of resource providers. Thus, they could hardly adapt to the situation of cross-organizational resource coordination. In addition, the credit of resource providers is rarely considered in the resource allocation process, which is unfavorable for promoting more reliable trades in shared manufacturing. To address these issues, this study proposes an integrated architecture to promote the resource allocation in shared manufacturing. A digital twin-driven service model is built to perform the seamless monitoring and control of shared manufacturing resources. The resource allocation model is constructed based on the consideration of the credit of resource providers. To keep the decision autonomy of resource providers, augment Lagrangian coordination is adopted to analyze the constructed resource allocation model. A case study is further employed to validate the effectiveness and efficiency of the proposed method in performing the resource allocation in shared manufacturing.     

Preliminary design and manufacturing planning integration using web-based intelligent agents

Software agents have been increasingly used in the product and process development in industry over the past years due to the rapid evolvement of the Internet technology. This paper describes agents for the integration of conceptual design and process planning. Agents provide mechanisms to interact with each other. This mechanism is important since both of those processes involve negotiations for optimization. A set of design and planning software agents has been developed. These agents are used in a computer-based collaborative environment, called a multi-agent platform. The main purpose of developing such a platform is to support product preliminary design, optimize product form and structure, and reduce the manufacturing cost in the early design stage. The agents on the platform have access to a knowledge base that contains design and planning rules. These rules are derived from an analysis of design factors that influence process and resource planning, such as product material, form, shape complexity, features, dimension, tolerance, surface condition, production volume, and production rate. These rules are used by process planning agents to provide process planners with information regarding selecting preliminary manufacturing processes, determining manufacturing resources, and constructing feedback information to product designers. Additionally, the agents communicate with WEB servers, and they are accessible by users through Internet browsers. During performing design and planning tasks, agents access the data pertinent to design and manufacturing processes by the programming interfaces of existing computer-aided design (CAD) and manufacturing system. The agents are supported by a developed prototype agent platform. The agents and the platform enable the information exchange among agents, based on a previously developed integrated design and manufacturing process object model.     

面向可重构制造基于CORBA的对象化包装技术研究与实践

构建制造企业柔性集成系统与可重构的制造企业 ,必需解决异构分布环境下的信息与软件资源的重用、重构 .本文提出了制造企业信息资源重用、重构的划分原则 ,给出了分布对象环境下基于 CORBA规范企业信息与应用软件的对象化包装方法与实现途径 ,以及针对数据、文本文件资源采用扩展对象适配器的对象化包装的实现     

基于Internet的镁合金加工行业现代集成制造系统——MAMTCIMS

MAMTCIMS是基于Internet和企业内部Intranet开发的面向镁合金加工行业的现代集成制造系统,论文介绍了面向镁合金加工企业现代集成制造的系统框架及各功能分系统,并建立以行业骨干企业为依托,在加工企业之间中实现基于Internet的行业信息共享、制造资源共享和咨询的模式,并论述了系统所提供的主要服务及关键技术。     

A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops

Dynamic personalized orders demand and uncertain manufacturing resource availability have become the research hotspots of intelligent resource optimization allocation. Currently, the data generated from the manufacturing industry are rapidly expanding. Such data are multi-source, heterogeneous and multi-scale. Transforming the data into knowledge to optimize the allocation between personalized orders and manufacturing resources is an effective strategy to improve the cognitive intelligent production level of enterprises. However, the manufacturing processes in resource allocation is diversity. There are many rules and constraints among the data. And the relationship among data is more complicated. There lacks a unified approach to information modeling and industrial knowledge generation from mining semantic information from massive manufacturing data. The research challenge is how to fully integrate the complex data of workshop resources and mine the implicit semantic information to form a viable knowledge-driven resource allocation optimization method. Such method can then efficiently provide the relevant engineering information needed for resource allocation. This research presented a unified knowledge graph-driven production resource allocation approach, allowing fast resource allocation decision-making for given order inserting tasks, subject to the resource machining information and the device evaluation strategy. The workshop resource knowledge graph (WRKG) model was presented to integrate the engineering semantic information in the machining workshop. A distributed knowledge representation learning algorithm was developed to mine the implicit resource information for updating the WRKG in real-time. Moreover, a three-staged resource allocation optimization method supported by the WRKG was proposed to output the device sets needed for a specific task. A case study of the manufacturing resource allocation process task in an aerospace enterprise was used to demonstrate the feasibility of the proposed approach.     

A collaborative architecture of the industrial internet platform for manufacturing systems

One of the most significant advances in the development of intelligent manufacturing is represented by the industrial Internet, which is combining the physical and cyber components in manufacturing systems together. Aiming to manage the interaction between the physical and cyber components, this paper proposes a collaborative architecture for industrial Internet platform (IIP) called industrial operation system (Ind-OS), which contains the industrial driver, digital thread and micro-services to provide a better cooperative enterprise information system (EIS) environment for manufacturing systems. The industrial driver in the edge layer is presented for each resource unit for communication, computation, control, identification, insight and interoperation, realizing a ``plug and play" fashion in IIP. The digital thread is designed to link all resource units and meta-data, which consists of a digital resource chain and an integrated information chain. In the application layer, all the businesses in EIS are decoupled into different micro-services, and a “Jigsaw Apps” is recombined to support the operation of manufacturing systems. A case study illustrates the effectiveness of the proposed Ind-OS, and the impacts caused by the Ind-OS are discussed.     

A model of computerization of manufacturing systems: an international study

This paper introduces a model of best practice in the computerization of manufacturing systems, by drawing on the practical experience of senior managers of both manufacturing and information management in Taiwan and the UK. The design used both qualitative and quantitative data analysis techniques to examine the implementation and integration of information systems support for manufacturing (ISSM). The investigation was conducted in three main phases. A series of qualitative case studies was conducted on the use of ISSM in 21 Taiwanese companies and 3 government organizations. Within-case and cross-case analysis showed that the six most important elements of ISSM implementation and integration are: the nature of manufacturing systems, ISSM and related software subsystems, barriers to ISSM, facilitators to ISSM, measured benefits from ISSM investment, and the level of ISSM integration. A preliminary development of a model of ISSM was then used to design a questionnaire for case studies analysis to examine ISSM in Taiwan and the UK. A comparison of ISSM in the two countries suggests that Taiwanese manufacturers have created platforms on which to build advanced manufacturing systems, are aware of the problems, and have plans to overcome them. UK firms had more experience with ISSM, and more organizations had achieved highly integrated manufacturing systems. Both countries appear to be moving toward similar designs for their enterprise resource planning and supply chain management systems.     

Assessment of interoperability in cloud manufacturing

Cloud manufacturing is defined as a resource sharing paradigm that provides on-demand access to a pool of manufacturing resources and capabilities aimed at utilising geographically dispersed manufacturing resources in a service-oriented manner. These services are deployed via the Industrial Internet of Things (IIoT) and its underlying IT infrastructure, architecture models, as well as data and information exchange protocols and standards. In this context, interoperability has been identified to be a key enabler for implementing such vertically or horizontally integrated cyber-physical systems for production engineering. Adopting an interoperability framework for cloud manufacturing systems enables an efficient deployment of manufacturing resources and capabilities across the production engineering life-cycle. In this paper, the authors investigate interoperability in the context of cloud manufacturing to identify the key parameters that determine whether or not a change-over from traditional cloud manufacturing to interoperable cloud manufacturing is financially viable for a given scenario of service providers and manufacturing orders. The results obtained confirm that interoperable cloud manufacturing systems cannot be considered a one-size-fits-all option. Rather, its applicability depends on a number of driving parameters that need to be analysed and interpreted to determine whether or not it provides a financially viable alternative to cloud manufacturing without an overarching interoperability framework.