摘要
由于运用大系统方法研究供应链系统存在着方法上的局限性,提出了将大系统和智能控制相结合的广义算子模型方法,并试图运用于供应链系统的研究中;分析了典型的供应链大系统信息传递流程,按照分解综合的方法,先建立外部模型(粗粒度广义算子模型),再逐层深入分解,针对每个决策点或控制环节再建立更细粒度的广义算子模型,如此层层深入,组成了多粒度的供应链大系统广义算子模型。
There exist methodological limitations in using large-scale system methods to research on supply chain systems. Generalized operator modeling is introduced to meet the solution of supply chain system, which comes from large-scale system method combined with intelligent control. Information flow in the large-scale system of supply chain is analyzed and the disassemble-synthesis is adopted to establish external model（ coarse granularity generalized operator model） and then to go deep into decomposition gradually. Fine granularity generalized operator model is established on all edcision-making point or control unit. In this way, multi-granularity generalized operators＇ model is constructed.
出处
《工业工程》
2007年第3期34-37,共4页
Industrial Engineering Journal
基金
上海市科委基础研究重点项目(04JC14009)
关键词
大系统方法
供应链
广义算子模型
large-scale system methods
supply chain
generalized operator modeling（GOM）
