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CPFR Mechanism Grounded on Grid in AVE Environment

机译:CPFR机制在AVE环境中接地网格

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This paper presents AVE (Agile Virtual Enterprise) and CPFR (Collaborative Planning. Forecasting and Replenishment) concepts and their characteristics, establishes and analyzes the AVE-based CPFR working flow, explains the content of the grid resource management and the mission, in relation to the corresponding grid resource management system. It analyzes working flow of the AVE-based CPFR. On this basis, it puts forth the AVE-related CPFR mechanism grounded on grid, and further analyzes its working principles, grid methods matching the AVE-related CPFR working flow, the strengths of this mechanism, as well as the n-tier prediction working flow. In addition, it constructs the selection approach for grid points where TQCS (Time, Quality, Cost and Service) is the objective principle. Under this mechanism, resource allocation in the AVE enterprises can be optimized; the alternative grid resource can be enhanced; and the AVE chain can be matched with the working mechanism of CPFR in terms of capacities of real-time resource sharing, n-tier resource allocation, mission assignment, control and supervision. Ultimately, distance management and risk blockage could be achieved in supply chains in all the AVE enterprises by forming a self-organized and self-control mechanism chain.
机译:本文介绍了AVE(敏捷虚拟企业)和CPFR(协作规划。预测和补充)概念及其特征,建立和分析基于AVE的CPFR工作流程,解释了网格资源管理和使命的内容相应的网格资源管理系统。它分析了基于AVE的CPFR的工作流程。在此基础上,将Ave相关的CPFR机制推出在网格上进行接地,并进一步分析其工作原理,网格方法与Ave相关的CPFR工作流程相匹配,这种机制的优势以及N层预测工作流动。此外,它构建了网格点的选择方法,其中TQCS(时间,质量,成本和服务)是客观原则。在这种机制下,可以优化AVE企业的资源分配;可以增强替代网格资源;并且Ave链可以在实时资源共享,N层资源分配,任务分配,控制和监督的能力方面与CPFR的工作机制相匹配。最终,通过形成自组织和自动控制机制链,所有AVE企业的供应链可以实现远程管理和风险阻塞。

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