A constrained optimal stochastic production planning model

A. Okoroafor, Gu Achi
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Abstract

This paper considers the state of the system which is represented by a controlled stochastic process. We shall formulate a stochastic optimal control in which the stochastic differential equations of a type known as Ito equations are considered which are perturbed by Markov diffusion process. Our goal is to use the stochastic optimal control principle to completely solve production planning model for the demand rate.
约束最优随机生产计划模型
本文考虑系统的状态用受控随机过程来表示。我们将构造一个随机最优控制,其中考虑一类被马尔可夫扩散过程扰动的伊藤方程的随机微分方程。我们的目标是利用随机最优控制原理完全求解需求率下的生产计划模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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