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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Construction of a two-stage fuzzy management planning model for a computer integrated production management system
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Construction of a two-stage fuzzy management planning model for a computer integrated production management system

机译：计算机集成生产管理系统的两阶段模糊管理计划模型的构建

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A production management system contains many qualitative descriptions and imprecise natures. The conventional crisp and/or stochastic model constructed in the computer integrated production management system (CIPMS) cannot describe these qualitative descriptions and imprecise natures. Therefore, it is difficult to mimic the way managers think, which is conceptual and comprehensive, and to absorb uncertainties such as order cancelled, unstable material supply etc, in a production system. This frequently accounts for why the CIPMS yields a poor performance. This paper presents a fuzzy approach to the CIPMS in order to model qualitative descriptions and imprecise natures. This approach includes two stages. In stage one, a management strategy can be determined in a way that is similar to the way humans think, in which ideas, pictures, images and value systems are formed. In stage two, a fuzzy linear programming model is developed to absorb these imprecise natures in a production system. In doing this, CIPMS can adapt a variety of non-crisp problems in an actual system, thereby improving the performance of CIPMS.
机译：生产管理系统包含许多定性描述和不精确的性质。在计算机集成生产管理系统（CIPMS）中构造的常规明快和/或随机模型无法描述这些定性描述和不精确的性质。因此，在生产系统中很难模仿管理者的思维方式，即概念性和综合性，难以吸收不确定性，例如订单取消，物料供应不稳定等。这经常解释了为什么CIPMS产生不良性能的原因。本文为CIPMS提供了一种模糊的方法，以对定性描述和不精确的性质建模。该方法包括两个阶段。在第一阶段，可以以类似于人类思维的方式来确定管理策略，在这种策略中形成思想，图片，图像和价值系统。在第二阶段，开发了模糊线性规划模型来吸收生产系统中的这些不精确的特性。通过这样做，CIPMS可以适应实际系统中的各种非脆性问题，从而提高CIPMS的性能。

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