Solving the problem of optimizing the resource efficiency of an enterprise using lean manufacturing technologies

A. P. Preobrazhenskij, A. Linkina
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Abstract

The article provides a solution to the problem of studying the characteristics of resource efficiency for a given time interval in the form of solving an optimization problem (using dynamic programming methods and the method of recurrent Bellman equations. A multistep search for a solution was carried out for a given period of planning production activities. Boundary requirements were met in different ways due to the multivariate management decisions. The features of the optimization model were considered. The solution of the multistep problem is reduced to the sequential solution of several one-step optimization problems. The function of changes in resource efficiency in lean manufacturing technologies was set for the planning period. Changes in technologies for the capability involved demonstrate how resource efficiency changes with the observation time. It is noted thaqt the experience accumulation of experts and participants in the production process in the implementation of innovative approaches is of great importance for reducing all types of losses. It was revealed that one of the crucial parameters in a multi-criteria system is the preservation of efficient operation in the subsystem associated with intelligent decision support. The optimal amounts of costs have been determined. Their assessment was carried out to allow for the fact that when solving optimization problems, it is necessary to take into account such criteria for which the values take extrema. Assuming a successful solution of the optimization problem posed and analyzing the results obtained when dividing the multistep decision into three one-step ones, we received S-shaped functions with a function value equal to 6.8%
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利用精益制造技术解决企业资源效率优化问题
本文以求解优化问题的形式,利用动态规划方法和递归Bellman方程的方法,研究了给定时间间隔内资源效率特征的问题。在给定的生产活动规划期间,对解决方案进行了多步骤搜索。由于多元管理决策,边界需求以不同的方式得到满足。考虑了优化模型的特点。将多步优化问题的求解简化为若干单步优化问题的顺序求解。设定了精益制造技术中资源效率变化的函数。所涉及能力的技术变化演示了资源效率如何随观察时间变化。委员会指出,生产过程中专家和参与者在实施创新办法方面积累的经验对减少各种损失非常重要。研究表明,多准则系统的关键参数之一是保持与智能决策支持相关的子系统的高效运行。成本的最优数额已经确定。他们的评估是为了考虑这样一个事实,即在解决优化问题时,有必要考虑到这些值取极值的标准。假设所提出的优化问题求解成功,并将多步决策分解为三个单步决策分析结果,得到函数值为6.8%的s形函数
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