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Managing Complexity in Supply Chains: A Discussion of Current Approaches on the Example of the Semiconductor Industry

机译：管理供应链中的复杂性：以半导体行业为例的当前方法的讨论

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摘要

The aim of this paper is to analyze the state of the art of complexity management in the area of supply chain management. In this regard, the suitability of Complex Adaptive System (CAS) modeling for making complexity-optimizing supply chain decisions is discussed on the example of the semiconductor supply chain.New global markets, lower manufacturing costs, and sourcing activities have led to a global dispersion of supply chains. However, manufacturers have discovered an unpleasant side effect of global manufacturing: Rising complexity. In practice, supply chain managers react intuitively to the complexity of processes, products and IT. This is partly due to the fact that so far, only little effort has been made to develop tools for quantifying supply chain complexity. But supply chain managers are in need of these methods enabling them to make complexity-optimized supply chain decisions. The quantitative impact of complexity –its value and its costs– has to be effectively calculated to enable supply chain managers to make complexity-optimized supply chain decisions. A promising approach for managing supply chain complexity is the interpretation of a supply chain as a complex adaptive system (CAS). CAS are systems far from equilibrium, characterized by a large number of interacting and evolving agents, who adapt and learn and thus could be able to solve the complexity dilemma.
机译：本文的目的是分析供应链管理领域中复杂性管理的最新技术。在这方面，以半导体供应链为例讨论了复杂自适应系统（CAS）建模对做出优化复杂性的供应链决策的适用性。新的全球市场，较低的制造成本和采购活动已导致全球分散供应链。但是，制造商发现了全球制造业的令人不快的副作用：复杂性不断提高。实际上，供应链经理可以直观地对流程，产品和IT的复杂性做出反应。部分原因是由于到目前为止，仅进行了很少的努力来开发用于量化供应链复杂性的工具。但是供应链经理需要这些方法，以使他们能够做出复杂度优化的供应链决策。必须有效地计算复杂性的量化影响（其价值和成本），以使供应链管理者能够做出优化复杂性的供应链决策。管理供应链复杂性的一种有前途的方法是将供应链解释为复杂的自适应系统（CAS）。 CAS是远离平衡的系统，其特征是大量的相互作用和进化的主体，它们相互适应和学习，因此能够解决复杂性难题。

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