【作者】 李玲；

【导师】 高亮；

【作者基本信息】 华中科技大学 ， 工业工程， 2007， 硕士

【摘要】 协同制造是适应网络经济和知识经济的先进制造模式,它强调企业间的协作和全社会范围内的资源共享,并以此实现产品设计制造的低成本和高效率的目标。因此,通过网络将分散在各个企业中的制造资源实现共享和优化利用是协同制造模式的重要特征之一,构建能集成多方面资源、具有多种功能的资源集成平台将成为协同制造的一种重要技术使能工具,可以有效地支持企业实施协同制造。本文针对协同制造资源集成与优化配置问题,从集成平台体系结构、制造资源集成框架、制造资源建模方法、制造资源优化配置方法以及系统实现等几个方面进行了研究。参考网格的运行机制,建立了基于网格的协同制造资源集成平台体系结构。该平台包括制造资源管理系统、制造资源优化配置系统和面向网格的协同工具。通过分析国内外制造资源集成的研究现状,建立了基于Web Services的协同制造资源集成框架,采用Web本体语言(OWL)进行制造资源建模。针对协同制造的特点,提出了协同制造资源优化配置的两级优化配置策略:面向生产任务的制造伙伴优选与面向制造加工阶段的物理制造单元优选。对于制造伙伴优选,给出了制造伙伴选择综合评价参考体系,提出了基于神经网络的制造伙伴选择模型,采用基于连接结构优化的粒子群优化算法(SPSO)实现了制造伙伴优选。对于物理制造单元优选,利用逻辑加工路线(LMP)和逻辑制造单元(LMU)描述协同制造任务,以时间、质量、成本为目标建立数学模型,用遗传算法(GA)实现了物理制造单元优选。最后,开发了协同制造资源集成平台的原型系统,主要包括用户注册、制造资源管理和制造资源优化配置三个功能模块。通过典型算例证明,该系统可以有效地集成制造资源,解决协同制造资源优化配置问题效果良好。更多还原

【Abstract】 As a kind of advanced manufacturing paradigm in network economy and knowledge economy environment, collaborative manufacturing (CM) emphasizes inter-enterprise collaboration and resources sharing in the whole society. The goal of CM is to realize the lower cost and higher efficiency of product designing and manufacturing process. Therefore, the share and optimized utilization of manufacturing resources dispersing in enterprises through network is one of important characteristics of CM. The resources integration platform that can integrate all kinds of resources and provide all kinds of functions will become one of important technically enabled tools for CM, and will effectively support implementation of CM in enterprises.In this thesis, the manufacturing resources integration problem in CM environment is discussed, including the architecture of integration platform, manufacturing resources integration framework, manufacturing resources modeling method, manufacturing resources optimized configuration method, and system realization.With reference to operation mechanism of grid, a grid-based CM resources integration architecture is proposed which consist of manufacturing resources management system, and manufacturing resources optimized configuration system.Based on analysis of current situation in manufacturing resources integration, a resources integration framework based on Web Services is presented, and the web ontology language (OWL) is chosen to describe manufacturing resources.According to the characteristic of CM, the two levels optimized strategy of manufacturing resources optimized configuration is proposed, which are the optimization of manufacturing partners and the optimization of Physical Manufacturing Unit (PMU). For optimization of manufacturing partners, a multiple attributes evaluation system of partner selection is presented, the artificial neural network trained by a Structure-improving particle swarm optimization algorithm is proposed to solve the problem. For optimization of PMU, LMP (logical manufacturing process) and LMU (logical manufacturing unit) are used to describe collaborative manufacturing task, an improved algorithm based on GA is proposed to solve the problem.Finally, the prototype system of CM resources integration platform is developed, it contains three modules: user register, manufacturing resources management and manufacturing resources optimized configuration.更多还原