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Best practice sharing for complexity management in supply chains of the semiconductor industry

机译:半导体行业供应链中复杂管理的最佳实践共享

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Global supply chain becomes complex because of a fast increasing number of dynamic interactions which need to be handled. The semiconductor industry is characterized by long product life cycles, highly differentiated products, and non-linearity in the manufacturing process; furthermore the semiconductor companies also face a volatile market due to the upstream position in the supply chain of consumer electronics which makes the demand from end-customers hard to forecast. The purpose of this paper is to analyze the key drivers of supply chain complexity in the semiconductor industry from practical view and to find the common ground between them. Several prevalent problems address different aspects of supply chain complexity occurred in daily operations were collected from an international semiconductor company, and discussed at an internal workshop with around forty participants from supply chain, IT or other business units. For each case the main drivers of complexity were mapped from reality to a conceptual model. Possible solutions to manage complexity were brainstormed and structured finally. By gathering all discussion results, these findings can be summarized: 1) Different complexity problems might have the same solution 2) Human roles, common understanding and communication become very important in complexity management 3) Trends for complexity management strategies: for current complexity, manage the value-added complexity which is necessary and reduce non-value added complexity; avoid future non-value added complexity These empirical results also provide evidence for our hypothesis, that complexity can be viewed from these aspects: process, role, object (state) and analyzed by their individual attributes which have influences on the system. This PROS approach defines a conceptual model to describe a complex system from the theoretical perspective. People get further indications that PROS model is a useful tool to analyze complexity and it can help to separate value added from non-value added complexity.
机译:由于需要处理的快速越来越多的动态交互,全球供应链变得复杂。该半导体工业的特点是产品寿命周期长,高度分化的产品和制造过程中的非线性;此外,由于消费电子产品供应链的上游位置,该半导体公司也面临着挥发性市场,这使得最终客户难以预报的需求。本文的目的是从实际视图中分析半导体行业供应链复杂性的关键驱动因素,并找到它们之间的共同点。几个普遍存在的问题解决了从国际半导体公司收集了日常运营中的供应链复杂性的不同方面,并在国际半导体公司中收集了来自供应链,IT或其他业务单位的内部研讨会的内部研讨会。对于每种情况,复杂性的主要驱动程序从现实映射到概念模型。最终管理复杂性的可能解决方案并终于构建。通过收集所有讨论结果,这些发现可以概括:1)不同的复杂性问题可能具有相同的解决方案2)人类角色,普通理解和通信在复杂性管理方面变得非常重要,复杂性管理策略的趋势:对于当前的复杂性,管理增值复杂性是必要的,并且减少非增值复杂性;避免未来的非增值复杂性这些经验结果也为我们的假设提供了证据,可以从这些方面查看复杂性:过程,角色,对象(状态)并由其各个属性分析,这些属性对系统影响了影响。该专业方法定义了一种概念模型来描述从理论透视中描述复杂系统。人们获得进一步的迹象表明,PROS模型是分析复杂性的有用工具,它可以帮助分离从非值添加复杂性添加的值。

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