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Structure dynamics control approach to supply chain planning and adaptation

机译:供应链计划和适应的结构动力学控制方法

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Many of the existing methods and models of supply chain planning and control consider only one supply chain structure and assume it's more or less static in nature. In practice, supply chains have a multi-structural semantics and those multiple interrelated structures (organisational, functional, informational, financial, topological, technological, product, and energy structures) are dynamic and subject to many planned and disturbance-based changes. These changes are tackled by control activities which make planning an adaptive process. Although the supply chain optimal planning domain for static structures has been extensively investigated, the domain of planning and control of supply chains with structure dynamics merits more systematic and critical attention. In this study, an original form of supply chain representation as a dynamic system with changing multi-structural characteristics is developed. The structure dynamics control is a dynamic interpretation of the supply chain (re)synthesis process and aims at both advancing the supply chain (re)planning domain and enlarging the scope of the supply chain analysis domain that is currently rather limited. The developed approach is based on an optimal program control theory, active modelling objects, and structural-mathematical concept blended with mathematical programming. In this paper, we describe its basic features and exemplify possible applications and extensions regarding real planning and control problems faced by international supply chains in recent years.
机译:供应链计划和控制的许多现有方法和模型仅考虑一种供应链结构,并假设其本质上或多或少是静态的。实际上,供应链具有多重结构的语义,并且那些相互关联的结构(组织,功能,信息,财务,拓扑,技术,产品和能源结构)是动态的,并且会受到许多计划的和基于干扰的更改的影响。这些变化通过控制活动来解决,这些活动使计划成为一个自适应过程。尽管已经对静态结构的供应链最优计划领域进行了广泛研究,但是具有结构动力学的供应链的计划和控制领域值得更加系统地关注。在这项研究中,供应链表示的原始形式是动态系统,具有不断变化的多结构特征。结构动力学控制是对供应链(重新)合成过程的动态解释,旨在既推进供应链(重新)计划领域又扩大当前相当有限的供应链分析领域的范围。所开发的方法基于最佳程序控制理论,主动建模对象以及结构数学概念与数学编程相结合的方法。在本文中,我们描述了其基本特征,并举例说明了有关国际供应链近年来面临的实际计划和控制问题的可能应用和扩展。

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