基于多代理机制的车间制造资源调度管理系统的研究

在分析车间制造资源调度特点的基础上,综合运用多代理机制、规则调度和消息通信机制等技术,建立了适应制造企业车间层生产环境的多代理模型结构。重点研究了多代理机制的实现、基于多代理结构下的通信机制和规则调度机制等关键技术,构建了基于客户机／服务器结构车间制造资源的调度管理系统的体系结构,研究了其工作流程和实现方法,并开发了基于多代理的车间制造资源调度管理仿真系统。     

面向大弹制造的车间管理信息模型和系统设计

车间是企业的物化中心，在生产过程中起着重要的作用。在深入了解大弹制造企业的车间生产特点和管理特点的基础上，建立了大弹制造车间的活动模型和业务模型，并结合计算机网络技术（JSP、JDBC和JavaBean）和数据库技术（SQL Server2000）设计了车间管理系统的数据库／应用服务器／Web服务器／客户端浏览器4层的体系结构，最后给出了系统的详细设计。     

面向人机协同环境的虚拟制造系统结构设计与实现

本文结合虚拟制造系统研究和应用需求,建立面向人机协同制造环境的虚拟制造系统体系结构,并按照基础核心层、制造系统层、界面层三个层面介绍系统的实现方法。界面层突出介绍视觉和听觉的实现,制造系统层侧重于车间子层、单元子层和设备子层的构成,基础核心层涵盖了设备的逻辑描述、几何描述、数控代码解释器及运动控制。最后以实例描述了各个层次的设计过程和实现技术,     

基于Web服务的车间生产管理系统

针对制造车间对信息化管理的需求,提出了一种基于Web服务的车间生产管理系统的体系结构,研究了五层体系结构的构成;并对功能服务和业务流程的实现进行了研究;最后,基于J2EE平台进行了系统的实现和应用试点,验证了系统及实现方法的可行性.     

基于RFID离散制造业车间生产过程控制系统研究与开发

针对当前离散制造车间生产过程控制的实时性、可靠性差的问题,提出了一种基于射频识别技术的离散制造车间生产过程控制系统解决方案。面向离散制造企业车间层的生产过程控制系统强调制造过程数据的实时采集、生产作业计划的可执行性和有效性。开发了基于RFID的离散制造业生产过程控制系统,经仿真实验平台验证表明:所设计的过程控制系统切实有效,为实现离散制造车间的准时生产奠定了基础。     

基于RFID离散制造业车间生产过程控制系统研究与开发

针对当前离散制造车间生产过程控制的实时性、可靠性差的问题,提出了一种基于射频识别技术的离散制造车间生产过程控制系统解决方案。面向离散制造企业车间层的生产过程控制系统强调制造过程数据的实时采集、生产作业计划的可执行性和有效性。开发了基于RFID的离散制造业生产过程控制系统,经仿真实验平台验证表明：所设计的过程控制系统切实有效,为实现离散制造车间的准时生产奠定了基础。     

物联网在车间制造执行系统的技术实现

为了解决传统的生产制造模式出现的车间控制层和计划层之间出现的信息"断层"现象,提出了MES管理信息系统与物联网技术结合的思路。针对机加工车间等典型的离散类制造车间进行分析,给出具体的MES系统设计思路与框架,并利用RFID技术和Zig Bee技术具体设计出了制造车间物联网系统平台,最后利用Justep X5开发平台实现了MES系统与物联网技术的互联应用。     

基于软构件的柔性制造执行系统平台的研究

为解决车间生产管理软件通用性和可移植性差的弊端，基于制造执行系统理论和车间生产业务的构件化设计思想，采用通用对象请求代理结构和多代理技术，提出了适用于制造行业的车间制造执行系统平台的体系结构，各个企业可以根据自身生产特点，以柔性制造执行系统平台为基础构建特定的车间生产系统，实现快速重组车间生产业务过程的目的，以适应企业敏捷化生产的需要，增强车间生产管理软件的可扩充性，可重构件和可移植性。     

柴油机厂发动机生产制造执行系统

这里论述了企业现代管理技术在柴油机厂发动机生产制造车间的应用。MES是上级计划层与底层工业控制层之间的一座桥梁,在整个企业信息集成系统中起承上启下的作用的底层技术。     

基于WEB的车身车间生产管理系统

设计并实现了数据库／WEB服务器／浏览器3层体系下的车身车间生产管理系统。基于ASP、ADO等技术，开发了该系统的功能模块。通过该系统的应用，实现车间生产设备、质量控制、工段成本控制等生产信息的管理，并对车身车间管理效率的提高、成本的降低、车身制造质量的持续改进起到辅助作用。     

摩托车零部件企业网络化外协加工支持系统

为提高摩托车零部件企业与外协厂之间的信息交互和业务协同能力,结合网络化制造的思想和应用服务提供商模式,提出了一种基于应用服务提供商的摩托车零部件制造企业网络化外协加工支持系统,研究了该系统的体系结构、功能结构、运行模式及其实现技术,并成功地应用于一摩托车零部件制造企业,取得了良好的效果.     

Challenges and Requirements for the Application of Industry 4.0: A Special Insight with the Usage of Cyber-Physical System

Considered as a top priority of industrial development, Industry 4.0 (or Industrie 4.0 as the German version) has being highlighted as the pursuit of both academy and practice in companies. In this paper, based on the review of state of art and also the state of practice in different countries, shortcomings have been revealed as the lacking of applicable framework for the implementation of Industrie 4.0. Therefore, in order to shed some light on the knowledge of the details, a reference architecture is developed, where four perspectives namely manufacturing process, devices, software and engineering have been highlighted. Moreover, with a view on the importance of Cyber-Physical systems, the structure of Cyber-Physical System are established for the in-depth analysis. Further cases with the usage of Cyber-Physical System are also arranged, which attempts to provide some implications to match the theoretical findings together with the experience of companies. In general, results of this paper could be useful for the extending on the theoretical understanding of Industrie 4.0. Additionally, applied framework and prototypes based on the usage of Cyber-Physical Systems are also potential to help companies to design the layout of sensor nets, to achieve coordination and controlling of smart machines, to realize synchronous production with systematic structure, and to extend the usage of information and communication technologies to the maintenance scheduling.     

Social-technical aspects in modern manufacturing

Manufacturing companies are having to compete in a more and more global market. Continuous quality improvement, a reduction in product price and production series shortening have become necessary in order to be competitive. In such a situation, the development of production systems is necessary. This can only be done via the development of all manufacturing system elements such as production methods, machines, process, control and information systems. One important part of manufacturing systems that is very often not appreciated enough is the human being. This paper focuses on the changing role of managers and machine operators. Problems regarding quality of human decisions, artificial intelligence support and a socio-technical design approach are discussed as well. The aim of this paper is to present the important factors that significantly influence the balanced development of advanced manufacturing systems. The article is the result of a research project focused on improving the cooperation between machine operators and technical systems in manufacturing companies.     

Tracking lean (automated shop floor data-capture technologies for lean automotive manufacturing)

We investigate how automated shop floor data-capture technologies enable lean automotive manufacturing. The concept of lean automotive manufacturing involves identifying the production factors leading to success in the global automobile manufacturing industry. Data capture is any kind of information-gathering needed to manage the value-production process while the goal of automation is to narrow the margin for error as much as possible. The rationale for instituting a data-capture system is it reduces the cost of acquiring and moving information around. Auto data-collection (AIDC) technologies eliminate the labour-intensive and costly paper pushing that typically permeates shop floor processes, which enables companies to reduce costs. In this paper, we discuss the advantages gained by automotive companies such as Volvo Truck Company and Honda supplier Listowel from data-capture systems.     

泵阀制造企业APS系统的关键技术研究

APS系统是制造业提高竞争力的强有力武器。通过分析泵阀制造企业面临的竞争背景,剖析APS系统的研究现状,提出了泵阀制造企业APS系统的2项关键技术:一是泵阀产品制造系统的建模方法;二是泵阀制造企业APS系统的优化模型和算法,并进行了深入的分析和研究。     

An Integrated Maintenance Management System for an Advanced Manufacturing Company

Maintenance costs in advanced manufacturing companies, e.g. electronics manufacturing companies, have been steadily increasing as the companies upgrade their production facilities. Maintenance costs are normally a considerable portion of the product cost. To maintain a competitive place in the market, it is critical for an advanced manufacturing company to have a sound maintenance management system, which can control its maintenance costs at the lowest level and maintain its overall equipment effectiveness at the highest level. This paper reports on an integrated maintenance management system, which has been developed and implemented in an advanced electronics manufacturing company in Hong Kong. The methods and principles of the system are discussed in sections on maintenance performance auditing, cost recording and tracing, reliability centred maintenance planning and control, condition monitoring and on-line feedback control, and integrated maintenance planning and control.     

泵阀制造企业APS系统的关键技术研究

APS系统是制造业提高竞争力的强有力武器。通过分析泵阀制造企业面临的竞争背景,剖析APS系统的研究现状,提出了泵阀制造企业APS系统的2项关键技术：一是泵阀产品制造系统的建模方法;二是泵阀制造企业APS系统的优化模型和算法,并进行了深入的分析和研究。     

[制造前沿]工业人工智能——工业应用中的人工智能系统框架

人工智能正以超越人们想象的方式影响着工业生产和我们的生活。世界多国已启动的国家级人工智能计划均强调了人工智能在智能工业中的重要性和必要性。但与此同时，采用人工智能来实时解决生产的实际问题仍是当前必须面对且不能忽视的挑战。现在的最大挑战是找到可创造价值的具体应用来满足市场和资本不断增长的期望。为了给工业系统中的人工智能的发展与实施提供一个清晰的路线图，提出了工业人工智能的系统框架和使能技术。综述了智能工业中的工业人工智能的关键使能技术的重要性，阐述了如何系统地应用这些使能技术来创造产生新价值的机会并避免出现问题。     

工业基地DMAIC精细化能源管理系统设计及研究

针对大型工业基地以及高能耗生产型企业的能源供应、存储、转运和使用的全过程,研究了基于实时信息和DMAIC模型的优化用能技术和方法,设计了面向整个企业的能源监管一体化系统,包括相关软件、功能和集成框架。基于该能源管控系统,高能耗企业可以实施全面能源计量、能源统计分析、能源核算、效率诊断、合理用能评价以及用能绩效考评等精细化管理。进而提高能源系统综合效率,降低企业能源使用成本,使企业节能减排措施能够进行可持续地优化实施。     

Dynamic control of flexible manufacturing systems

Flexible manufacturing systems (FMSs) are a relatively new technological and organisational approach to helping companies respond to real-time marketing conditions for their production. Under a proposal of the National Bureau of Standards the FMSs are subdivided into virtual manufacturing cells in a dynamic manner, on the basis of group technology.A method of dynamic optimisation for the design of manufacturing processes, capacity balancing and checking, and also production scheduling or rescheduling in virtual manufacturing cells is described. It can be used during real-time production control in FMSs.