随机加工条件下分批连续生产系统的利润优化仿真

É. Orbán-Mihálykó, C. Mihálykó, B. Lakatos, T. Szabó, Á. Papp
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引用次数: 1

摘要

研究了随机加工条件下生产系统的性质。生产系统由输入子系统的批处理单元和连续运行的确定性输出子系统组成,它们通过中间存储系统耦合在一起。操作的随机性是由批量大小和到达仓库的时间间隔的不确定性引起的。考虑到生产所产生的费用和收入,对利润的期望进行了界定和研究。给出了期望利润的积分方程,并用蒙特卡罗方法求解。通过仿真确定了物料的最佳初始处理量、储存量和抽料速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profit optimization of batch-continuous production systems under stochastic processingconditions by simulation
The properties of a production system working under stochastic processing conditions are investigated. The production system consists of batch units of an input subsystem and a continuously operated deterministic output one which are coupled by an intermediate storage system. The randomness of operation is caused by the uncertainties of batch sizes and the time intervals of arrival to the storage. Taking into account the expenses and the income arising from the production the expectation of the profit is defined and investigated. An integral equation is presented for the expected profit, and is solved using Monte Carlo method. The optimal initial amount of material to be processed, storage volume and withdrawing rate are determined by simulation.
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