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Effective algorithm for solving complex problems of production control and of material flows control of industrial enterprise

机译:解决工业企业生产控制和物料流控制复杂问题的有效算法

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A universal economical and mathematical model designed for determination of optimal strategies for managing subsystems (components of subsystems) of production and logistics of enterprises is considered. Declared universality allows taking into account on the system level both production components, including limitations on the ways of converting raw materials and components into sold goods, as well as resource and logical restrictions on input and output material flows. The presented model and generated control problems are developed within the framework of the unified approach that allows one to implement logical conditions of any complexity and to define corresponding formal optimization tasks. Conceptual meaning of used criteria and limitations are explained. The belonging of the generated tasks of the mixed programming with the class of NP is shown. An approximate polynomial algorithm for solving the posed optimization tasks for mixed programming of real dimension with high computational complexity is proposed. Results of testing the algorithm on the tasks in a wide range of dimensions are presented.
机译:考虑了一种通用的经济和数学模型,该模型旨在确定用于管理企业生产和物流子系统(子系统的组件)的最佳策略。声明的通用性允许在系统级别上同时考虑两个生产组件,包括对将原材料和组件转换为已售商品的方式的限制,以及对输入和输出物料流的资源和逻辑限制。所提出的模型和所产生的控制问题是在统一方法的框架内开发的,该方法允许人们实施任何复杂性的逻辑条件并定义相应的形式优化任务。解释了使用的标准和限制的概念含义。显示了混合编程所产生的任务与NP类的关系。提出了一种近似的多项式算法,可以解决计算复杂度高的实数混合编程所提出的优化任务。给出了在大范围的任务上测试算法的结果。

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