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Integrated Adaptive Design and Planning of Supply Networks

机译:供应网络的综合自适应设计与规划

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In recent years, the works on supply chain management (SCM) have been broadened from isolated static models of supply chain design (SCD) and planning (SCP) to integrated SCD and SCP models. This paper develops a framework for integrated SCD and SCP on the basis of adaptation principles and regarding SC execution dynamics. To achieve this integration, static models of SCD are brought in correspondence to the dynamic models of SCP and control. The adaptive feedback loops between the planning and execution models are established. It becomes possible if traditional operations research (OR) techniques are extended by optimal control theory. We illustrate the general framework with the help of a modelling complex. We show explicitly how to distribute static and dynamics variables and constraints of SCD and SCP by interconnecting static elements in SCD optimization linear programming model with corresponding SCP dynamic elements in optimal control model. This makes it possible to consider conventionally isolated SCD and SCP problems taking into account non-stationarity of supply chain execution along with the adaptive control within a conceptually and mathematically integrated framework. In doing so, the developed framework contributes to the advancing decision-making support for SCM on the basis of interrelating planning and execution levels instead of generating optimal solutions that fail in a real perturbed execution environment.
机译:近年来,供应链管理(SCM)的工作已从孤立的静态供应链设计(SCD)和计划(SCP)静态模型扩展到集成SCD和SCP模型。本文基于适应原理并考虑了SC执行动态,为集成SCD和SCP开发了一个框架。为了实现这种集成,将SCD的静态模型与SCP和控件的动态模型相对应。建立了计划和执行模型之间的自适应反馈循环。如果通过最佳控制理论扩展传统运筹学(OR)技术,这将成为可能。我们借助建模复合体来说明通用框架。我们明确显示了如何通过将SCD优化线性规划模型中的静态元素与最优控制模型中的相应SCP动态元素互连来分配SCD和SCP的静态和动态变量以及约束。这使得有可能考虑到传统上孤立的SCD和SCP问题,同时考虑到供应链执行的非平稳性以及在概念和数学上集成的框架内的自适应控制。这样,在相互关联的计划和执行级别的基础上,开发的框架有助于为SCM提供高级的决策支持,而不是生成在真正的执行环境中失败的最佳解决方案。

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