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A UNIFIED HIERARCHICAL CONTROL ALGORITHM FOR CONSTRAINED NONLINEAR MULTI-DELAY INTERCONNECTED SYSTEMS: APPLICATION TO PRODUCTION PLANNING

机译:约束非线性多延迟互连系统的统一层次控制算法:在生产计划中的应用

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摘要

In this paper, a hierarchical control algorithm is presented which unifies several previous algorithms in an effective way so as to handle the problem of constrained, non-linear, multi-delay interconnected systems in its most general form. A class of application models that fall within this category are integrated production planning models, which involve distributed time delays and constraints on both the state and decision variables. These problems are very difficult to solve by centralized optimal control methods even when their dimensionality is very small. Therefore, various hierarchical control optimization algorithms have been developed in the literature by invoking the costate prediction principle which can only partially deal with the problem. For completeness, the paper provides a brief overview of the previous work on the nonlinear hierarchical control problem, as well as a summary of the related production planning literature that deals with the problem of modifying the current production capacity level through R & D expenditures or automation acquisition and modernization. The paper develops an enhanced integrated model, which includes automation acquisition for improving the productivity of labor with inventory and marketing considerations. The unified algorithm of the paper is applied to this model, and a sensitivity study is carried out that reveals the dynamic interactions of the intrisic components of the model. The managerial implications are also discussed. It thus become clear that the present unified model and optimization technique can be of invaluable help to decision makers for evaluating and testing alternative corporate strategic plans.
机译:在本文中,提出了一种分层控制算法,该算法以有效的方式统一了几种先前的算法,从而以最一般的形式处理受约束的非线性多延迟互连系统的问题。属于此类别的一类应用程序模型是集成的生产计划模型,该模型涉及分布式时间延迟以及对状态和决策变量的约束。这些问题即使尺寸很小,也很难通过集中的最优控制方法解决。因此,通过引用仅能部分解决该问题的代价预测原理,文献中已经开发了各种分层控制优化算法。为了完整起见,本文简要概述了有关非线性分级控制问题的先前工作,并概述了有关通过R&D支出或自动化来改变当前产能水平的问题的相关生产计划文献。收购和现代化。本文开发了一个增强的集成模型,该模型包括自动化采购,以提高库存和营销方面的劳动生产率。本文的统一算法应用于该模型,并进行了敏感性研究,揭示了该模型的固有成分之间的动态相互作用。还讨论了管理意义。因此,很显然,当前的统一模型和优化技术对于决策者评估和测试替代性公司战略计划可能具有无价的帮助。

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