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制造联盟资源计划技术参考模型 总被引:3,自引:0,他引:3
企业集成平台的研究是一项复杂的系统工程,其基础是建立一套共同的企业集成平台框架模型。介绍了制造联盟资源计划技术参考模型的具体内容,并在此基础上简要介绍了制造联盟资源计划技术参考模型的一些应用。 相似文献
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基于XML面向工艺设计的制造资源模型 总被引:9,自引:2,他引:9
随着网络化制造模式的实施,不同企业之间存在着大量异构信息的交互和共享,可扩展的标记语言技术为实现网络上环境异构信息的交互提供了解决方案。本文提出应用XML技术建立适用于网络化制造式面向工艺设计的制造资源模型的思想,并对实现该模型所涉及的关键技术和实现方法进行了研究,在此基础上建立了基于网络面向工艺设计的制造资源工具,作为一个主要的支撑模块,在RR-CAPP系统中得到了应用。 相似文献
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GAO Shiwen LIAO Wenhe GUO Yu LIU Jinshan SU Yan 《机械工程学报(英文版)》2009,22(2):177-183
Network-based manufacturing is a kind of distributed system, which enables manufacturers to finish production tasks as well as to grasp the opportunities in the market, even if manufacturing resources are insufficient. One of the main problems in network-based manufacturing is the allocation of resources and the assignment of tasks rationally, according to flexible resource distribution. The mapping rules and relations between production techniques and resources are proposed, followed by the definition of the resource unit. Ultimately, the genetic programming method for the optimization of the manufacturing system is put forward. A set of software for the optimization system of simulation process using genetic programming techniques has been developed, and the problems of manufacturing resource planning in network-based manufacturing are solved with the simulation of optimizing methods by genetic programming. The optimum proposal of hardware planning, selection of company and scheduling will be obtained in theory to help company managers in scientific decision-making. 相似文献
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介绍了MES的概念和功能模型,对制造业中计划层和执行层的信息系统进行了分析,从几个方面进行了对比,论述了二者的联系性;对MES/ERP的系统整合提出了一个整合方案。 相似文献
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Owing to a lack of practical methods and software tools in the existing researches on green manufacturing (GM), process planning
support system for green manufacturing (GMPPSS) was developed to deal with the problems in optimization of environment-benign
process planning. The GMPPSS consisted mainly of three function modules and related model repositories including: selection
of process elements, optimization of process courses, and evaluation of process projects for GM. The database of the GMPPSS
was used to provide plentiful information on resources consumption and environmental impact in manufacturing processes, which
consisted of process attribute database, inventory database, machine database, tool database, and the cutting fluid database.
Raw materials, secondary material consumption, energy consumption, and environment impacts of process planning were optimized
to improve the green attribute of process planning of parts with the supports of the databases and model repositories. The
gear processing in the machining tool factory was presented to verify the system’s applicability.
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Translated from Computer Integrated Manufacturing System, 2005, 11(7): 975–980 [译自: 计算机集成制造系统] 相似文献
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基于模型集的面向绿色制造工艺规划策略研究 总被引:7,自引:1,他引:7
分析了制造过程的输入,输出,揭示了面向绿色制造工艺规划的内涵,建立了面向绿色制造的工艺规划多目标优化决策总体模型,通过对该模型的分解,构造出面向绿色制造的工艺规划模型集,基于研究建立了一种基于模型集的面向绿色制造工艺规划策略,并开发了相应的面向绿色制造工艺规划的应用支持原型系统。 相似文献
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提出一种面向可重构制造系统的工艺规划方法,首先,分析影响工序组合的相关属性,并通过编码的方法使其数值化,建立可将整个零件族内具有一定相似性的工序进行组合的数学模型及算法;然后,建立工序组合评价指标体系,采用多级模糊综合评价方法对其进行综合评价。通过实例表明,该方法可以得到零件族内最佳的工序组合方案,并显著地减少系统重构次数,缩小重构范围。 相似文献
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M. Lun F. F. Chen 《The International Journal of Advanced Manufacturing Technology》2000,16(7):483-490
A flexible manufacturing system (FMS) is designed to achieve good productivity and low cost. The success of an FMS depends
largely on effective production scheduling and control. However, it has been found that current manufacturing scheduling and
control algorithms lack the flexibility to handle interruptions or resource breakdowns; hence, system performance drops dramatically
and abruptly when interruptions occur. This research develops a computer-simulation-based framework of FMS scheduling and
control system using the holonic concept. This framework can maintain stability and flexibility while accommodating system
disturbance, increase throughput, reduce part flow-time and work-in-process inventory, and balance workload among identical
workstations. The significance of this research is the investigation of an innovative approach to revolutionary advances of
control technologies for advanced manufacturing systems, and to the revitalisation of control and scheduling algorithms used
by existing FMSs. A case study has been provided to substantiate the effectiveness of this proposed framework. 相似文献
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基于增量制造的再生骨支架制备方法在生物制造领域表现出巨大应用潜力,也越来越受到重视,其中制造路径规划方法直接影响到制备的支架的结构特点,在很大程度上决定了后期支架的细胞培养以及组织修复效果。目前典型的面向工业以及民用领域的增量制造工艺的路径规划方法不能完全适用于骨支架的制备,无法获得能够有效模拟细胞外基质结构特征的三维贯通结构。针对这一问题,提出一种面向生物增量挤出成形技术的再生骨支架制备路径规划方法,将材料成形过程中出现的尺寸变形的补偿融入到路径规划方法的设计中,能有效满足骨支架制备时对复杂外轮廓和梯度孔隙结构的需求。在此基础上,给出再生骨支架增量挤出成形系统的软件系统架构,实现方法及结果,并通过支架成形试验验证支架的性能,研究成果对自主开发生物增量制造装备具有重要价值和意义。 相似文献
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M. Sadaiah D. R. Yadav P. V. Mohanram P. Radhakrishnan 《The International Journal of Advanced Manufacturing Technology》2002,20(10):709-719
This paper deals with design and development of a generative computer-aided process planning (CAPP) system for prismatic components
and named PSG-CAPP. The proposed CAPP system has been divided into three modules. The first module is concerned with feature
extraction. The second and third modules deal with planning the set-up, machine selection, cutting tool selection, cutting
parameter selection, and generation of process plan sheet. The whole CAPP system is developed using Visual Basic 6.0 as front
end and Oracle 7.3 as back end. The SolidWorks98 plus has been used for modelling, and feature extraction has been implemented
using a program written in Visual Basic 6.0. The speciality of the developed CAPP system is that it is linked with the CAD
module and it extracts the majority of features automatically prior to process planning. The developed CAPP system has been
tested with aerospace components. The main feature of the proposed CAPP system is its ability to handle a variety of prismatic
components and generate process plans for them. A case study has been included to highlight the potential of the CAPP system.
ID="A1"Correspondance and offprint requests to: Professor P. V. Mohanram, Department of Mechanical Engineering, PSG College of Technology, Peelamedu, Coimbatore 641004,
India. E-mail: msadaiah@yahoo.com 相似文献