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首页> 外文期刊>IFAC PapersOnLine >One small change can lead to large complexity: a first glimpse at the Master Data change and its impact on the semiconductor supply chain
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One small change can lead to large complexity: a first glimpse at the Master Data change and its impact on the semiconductor supply chain

机译：一个小的更改可能会导致很大的复杂性：初步了解主数据更改及其对半导体供应链的影响

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摘要

Modern supply chain is a complex system characterized by an increasing number of interactive and interdependent components with dynamic behaviors working together as an entirety. The system complexity is not only determined by the internal mechanisms of the problem but is also affected by the changing environment. Much research and practice on complexity management is about the structural analysis, concentrating on the components and their interconnections. However, the measurement of dynamic changes has not gained much attention. Therefore, this paper proposes a framework to assess changes in supply chain. A conceptual model is employed to model the hierarchical supply chain and classify changes into different levels. One change scenario can be described as a group of atomic changes acting on the predefined elements and relationships. The impact rules of change are also provided. We thus propose an approach with four steps to evaluate the change impact. A practical example from supply chain Master data is used to illustrate this approach. It’s a surprise to see a tiny change from the bottom level could have significant impact on the whole system. The research on change analysis will finally benefit the complexity measurement as an influence factor of metrics.
机译：现代供应链是一个复杂的系统，其特征是交互行为和相互依存的组件数量不断增加，动态行为整体上协同工作。系统复杂度不仅由问题的内部机制决定，而且还受环境变化的影响。有关复杂性管理的许多研究和实践都涉及结构分析，重点在于组件及其互连。但是，动态变化的测量并没有引起太多关注。因此，本文提出了一个评估供应链变化的框架。采用概念模型对分层供应链进行建模，并将变更分为不同级别。一个变更方案可以描述为一组作用在预定义元素和关系上的原子变更。还提供了变更的影响规则。因此，我们提出了一种通过四个步骤来评估变更影响的方法。供应链主数据中的一个实际示例用于说明此方法。令人惊讶的是，最低层的微小变化可能会对整个系统产生重大影响。变更分析的研究最终将使复杂性度量成为度量的影响因素。

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