Optimal control of production and marketing systems with distributed time lags

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Sung-Bin Choi, H. Hwang
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引用次数: 3

Abstract

This paper deals with the problem of production and advertising policy for a decaying item whose gradual loss of potential or utility is associated with the passage of time, such as grain, photographic film or electronic components. The delay effects of the advertisement on the sales rate are also considered in the problem. This leads to a control problem where the state equations are represented by integro-differential equations. The objective is to use optimal control theory to determine the production and advertising rates of the decay item which maximize the current value of net profit stream. For the model developed we present a computational procedure of finding the optimal policy and then carry out sensitivity analysis through an example problem. The properties of the optimal solution are discussed for the case of constant rate of delay effect.
具有分布时滞的产销系统的最优控制
本文研究的是随着时间的流逝而逐渐失去潜力或效用的物品,如谷物、照相胶片或电子元件的生产和广告政策问题。问题中还考虑了广告的延迟效应对销售率的影响。这导致了一个控制问题,其中状态方程由积分微分方程表示。目标是利用最优控制理论来确定使当前净利润流价值最大化的衰减项目的生产和广告率。对于所建立的模型,给出了寻找最优策略的计算过程,并通过实例进行了灵敏度分析。讨论了恒速率延迟效应下最优解的性质。
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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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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