制造协作组织形成过程任务与资源的集成优化
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摘要
面向全球化的国际大生产环境，市场的激烈竞争已经从制造产业的各个层次和各个环节展开，因此建立一个符合市场规律、性能优越的制造协作组织在理论上、现实上都具有重大的意义。论文以制造协作组织的形成过程为研究对象，针对协作组织形成过程分析、制造任务结构规划、制造任务性能参数优化与制造资源配置的集成、以及应用系统的开发与应用诸方面进行了全面、深入的研究。
论文深入分析组建制造协作组织过程的市场特征，提出制造协作组织形成过程具有正向与逆向优化的双向优化结构，即制造资源配置与制造任务优化，它们构成协作组织形成过程中的基本活动单元。以制造任务优化为主要线索，结合制造资源配置，研究协作组织形成的演进过程，指出制造任务的优化是协作组织形成过程的关键驱动力量。
面向制造任务结构的优化问题，提出制造任务粒度模型。构建广义制造能力资源模型，探讨制造资源对制造任务粒度优化的关键影响因素构成。针对市场协作制造环境下的协作成本、任务过程周期、以及任务技术方案三个方面的关键影响因素，构建制造任务粒度与它们之间关联的数学模型，拟定量分析制造任务粒度的优化设计问题，获得在相应条件下的任务粒度最佳值。进而总结制造任务结构的优化设计方法，特别强调在市场协作制造环境中企业的历史表现与企业所积累的宝贵经验对制造任务结构规划具有重要的影响。
基于协作组织形成过程的双向优化结构，分析影响制造任务性能参数优化与制造资源配置过程中的各种因素特征，构建集成优化的过程框架。提出制造任务性能参数在确定性环境下的任务性能参数距离与距离方差模型，以及在不确定性环境下区间向量距离模型，进而构建任务性能参数的优化数学模型，并展开针对优化模型性质的讨论。根据制造任务性能参数的优化需求，研究遗传算法的宏观与微观实现形式。随之依托制造任务性能参数的逆向优化过程，构建制造资源正向配置的优化模型，从而实现正向优化与逆向优化过程的集成。最后，进行实例仿真研究，验证集成优化方法、算法的有效性。
以关中高新技术产业带网络化制造系统为背景，设计网络化制造协作组织形成支持系统的主要功能和体系结构，并分析进行系统核心模块开发所涉及的主要环节。最后，进行系统应用案例的分析，结果表明论文所提出的一些理论与方法是可行的。
Bsaed on international market, the drastic competitions in manufacturing are outspread omnidirectionally. So it is significative theoretically and realistically to construct predominant manufacturing cooperation organization. In this dissertation, the constructing process of manufacturing cooperation organization is investigated. The whole work is divided into four parts which are studied individually. These include: analyzing of constructing process; optimizing of tasks configurations; integrating of tasks performance parameters optimization and resources deployment; and designing and applying of an application system.
The constructing process of manufacturing cooperation organization has a two-direction optimization framework after market characteristics of the process are thoroughly analyzed. One of them is deployment of manufacturing resources, which is called normal optimization. The other is optimization of manufacturing tasks, which is called inverse optimization. These two market activities are combined to form the basic unit of the constructing process. The process is researched based on the clue of optimizing manufacturing tasks and deploying manufacturing resources. It is proposed that optimization of manufacturing tasks is a pivotal driving power to the constructing process
The model of manufacturing tasks granularity is put forward to solve the problem of how to optimize manufacturing tasks configuration. By constructing resources model oriented generalized manufacturing capability, the important factors of resources influencing optimization of tasks configuration are obtained, which is composed by the total collaborating cost, the total process period and the tasks technology scheme. On the basis of the market environment of cooperative manufacturing, the qualitative and quantitative analysis educed mathematic models which reflects relationships between three factors and the layout of tasks granularity. So the optimal values of manufacturing tasks granularity are found out under corresponding conditions. Then the instructional meanings to design task configuration are discussed through concluding three pivotal quantitative relationships. It is emphasized that the historical behaviors and precious accumulated experience of enterprises have an important impact on the optimization of tasks configuration under market environment of cooperative manufacturing.
After analyzing characters in the constructing process of optimizing tasks performance parameters and deploying resources, the process configuration of integrated optimization is formed based on the two-direction optimization framework. The model of vector distance and vector distance variance of tasks performance parameters under certain conditions, and interval vector distance under uncertain conditions are brought forward. The mathematic models for optimizing tasks performance parameters are constructed, and mathematic properties of models are discussed. Based on demands of optimizing tasks performance parameters, the macroscopical and microcosmic strategies of genetic algorithm (GA) are analyzed. Based on the process of inverse optimization, the model of deploying manufacturing resources in the normal optimization process is formed too. Accordingly the integration of normal optimization and inverse optimization is carried out. Finally the effectiveness of model and algorithm is validated by emulating examples.
Under the background of networked manufacturing of high technology industry region in the middle Shannxi Province, main functions and framework of a supporting system to construct process of networked manufacturing cooperation organization are designed. These key technologies implemented the support system are analyzed. A few theories and methods in this dissertation are validated to be feasible through researching a system applied casus.
论文深入分析组建制造协作组织过程的市场特征，提出制造协作组织形成过程具有正向与逆向优化的双向优化结构，即制造资源配置与制造任务优化，它们构成协作组织形成过程中的基本活动单元。以制造任务优化为主要线索，结合制造资源配置，研究协作组织形成的演进过程，指出制造任务的优化是协作组织形成过程的关键驱动力量。
面向制造任务结构的优化问题，提出制造任务粒度模型。构建广义制造能力资源模型，探讨制造资源对制造任务粒度优化的关键影响因素构成。针对市场协作制造环境下的协作成本、任务过程周期、以及任务技术方案三个方面的关键影响因素，构建制造任务粒度与它们之间关联的数学模型，拟定量分析制造任务粒度的优化设计问题，获得在相应条件下的任务粒度最佳值。进而总结制造任务结构的优化设计方法，特别强调在市场协作制造环境中企业的历史表现与企业所积累的宝贵经验对制造任务结构规划具有重要的影响。
基于协作组织形成过程的双向优化结构，分析影响制造任务性能参数优化与制造资源配置过程中的各种因素特征，构建集成优化的过程框架。提出制造任务性能参数在确定性环境下的任务性能参数距离与距离方差模型，以及在不确定性环境下区间向量距离模型，进而构建任务性能参数的优化数学模型，并展开针对优化模型性质的讨论。根据制造任务性能参数的优化需求，研究遗传算法的宏观与微观实现形式。随之依托制造任务性能参数的逆向优化过程，构建制造资源正向配置的优化模型，从而实现正向优化与逆向优化过程的集成。最后，进行实例仿真研究，验证集成优化方法、算法的有效性。
以关中高新技术产业带网络化制造系统为背景，设计网络化制造协作组织形成支持系统的主要功能和体系结构，并分析进行系统核心模块开发所涉及的主要环节。最后，进行系统应用案例的分析，结果表明论文所提出的一些理论与方法是可行的。
Bsaed on international market, the drastic competitions in manufacturing are outspread omnidirectionally. So it is significative theoretically and realistically to construct predominant manufacturing cooperation organization. In this dissertation, the constructing process of manufacturing cooperation organization is investigated. The whole work is divided into four parts which are studied individually. These include: analyzing of constructing process; optimizing of tasks configurations; integrating of tasks performance parameters optimization and resources deployment; and designing and applying of an application system.
The constructing process of manufacturing cooperation organization has a two-direction optimization framework after market characteristics of the process are thoroughly analyzed. One of them is deployment of manufacturing resources, which is called normal optimization. The other is optimization of manufacturing tasks, which is called inverse optimization. These two market activities are combined to form the basic unit of the constructing process. The process is researched based on the clue of optimizing manufacturing tasks and deploying manufacturing resources. It is proposed that optimization of manufacturing tasks is a pivotal driving power to the constructing process
The model of manufacturing tasks granularity is put forward to solve the problem of how to optimize manufacturing tasks configuration. By constructing resources model oriented generalized manufacturing capability, the important factors of resources influencing optimization of tasks configuration are obtained, which is composed by the total collaborating cost, the total process period and the tasks technology scheme. On the basis of the market environment of cooperative manufacturing, the qualitative and quantitative analysis educed mathematic models which reflects relationships between three factors and the layout of tasks granularity. So the optimal values of manufacturing tasks granularity are found out under corresponding conditions. Then the instructional meanings to design task configuration are discussed through concluding three pivotal quantitative relationships. It is emphasized that the historical behaviors and precious accumulated experience of enterprises have an important impact on the optimization of tasks configuration under market environment of cooperative manufacturing.
After analyzing characters in the constructing process of optimizing tasks performance parameters and deploying resources, the process configuration of integrated optimization is formed based on the two-direction optimization framework. The model of vector distance and vector distance variance of tasks performance parameters under certain conditions, and interval vector distance under uncertain conditions are brought forward. The mathematic models for optimizing tasks performance parameters are constructed, and mathematic properties of models are discussed. Based on demands of optimizing tasks performance parameters, the macroscopical and microcosmic strategies of genetic algorithm (GA) are analyzed. Based on the process of inverse optimization, the model of deploying manufacturing resources in the normal optimization process is formed too. Accordingly the integration of normal optimization and inverse optimization is carried out. Finally the effectiveness of model and algorithm is validated by emulating examples.
Under the background of networked manufacturing of high technology industry region in the middle Shannxi Province, main functions and framework of a supporting system to construct process of networked manufacturing cooperation organization are designed. These key technologies implemented the support system are analyzed. A few theories and methods in this dissertation are validated to be feasible through researching a system applied casus.
引文
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