机械制造企业资源配置的特征状态空间理论与方法

项目名称： 机械制造企业资源配置的特征状态空间理论与方法

项目编号： No.61074136

项目类型： 面上项目

立项/批准年度： 2011

项目学科： 轻工业、手工业

项目作者： 高媛

作者单位： 大连理工大学

项目金额： 10万元

中文摘要： 本项目基于特征状态空间理论及方法，以机械制造企业的多阶段混流生产过程为研究对象，提出新的生产过程特征状态建模方法，资源瓶颈分析方法以及混合梯度搜索算法，建立了机械制造企业资源配置的新理论与新方法。首先以基本生产活动为分析单元，提取生产资源流动过程中的特征信息，形成特征状态矢量，通过资源流的状态变换形成能够直观、定量的表达整体生产过程状态的特征状态方程模型，并验证模型精度；其次分析特征状态空间的性质，将生产过程映射到特征状态空间中研究，转化资源配置问题为特征状态空间中的路径规划问题；通过上述研究，获得各局部生产阶段资源配置量与生产性能评价指标之间的定量函数关系，通过函数求导快速实现制造系统瓶颈的定量分析，首次利用梯度搜索策略指导资源配置方案的优化搜索过程，获得速度和质量高于传统方法的混合算法，为解决机械制造企业大规模资源配置问题提供一种有效的理论方法。

中文关键词： 机械制造；混流生产；状态空间；资源配置；瓶颈分析

英文摘要： A new approach for resource allocation (characteristic state modeling,bottlenecks analyzing and hybrid algorithm )of the multi-stage and multi-product production processes in mechanical manufafacturing enterprises is planed to be developed using the characteristic state space method. First,basic production activities are regarded as basic analysis units.Characteristic state vectors will be set up by extracting the variables from the flowing information of production resources,Then, Characteristic state equations are set up to intuitively and quantificationally repressenting the state in global production process, according to characteristic transformation of the resources flows.And the precision of the production process model is tested by computing a actual case.Secondly, the properties of the characteristic state space are discussed. The model introduces the production process into a characteristic state space for further analysis and therefore the resource allocation can be considered as a path-planning problem in the characteristic state space. Based on these, a quantitative function of the entire performance with respect to the quantities of the allocated resources can be obtained, The bottlenecks of the mechanical manufacturing system can be measured quantificationally and quickly by deriving the function. The gradients will be used to guide the optimization procedure for resource allocation in the first time. The speed and quality of hybrid algorithm is expected to be notable higher than the existing approaches. Consequently, large-scale resource allocation problems in machanical manufacturing enterprises can be solved effectively by the new theoretics.

英文关键词： Manufacturing System; Multi-product Production;State Space;Resource Allocation;Bottleneck Analysis