Information Exchange in Global Production Networks: Increasing Transparency by Simulation, Statistical Experiments and Selection of Digitalization Activities
Information Exchange in Global Production Networks: Increasing Transparency by Simulation, Statistical Experiments and Selection of Digitalization Activities
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DOI：
10.1016/j.procir.2019.04.214
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
S. Treber;R. Breig;M. Kentner;B. Häfner;G. Lanza
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文献类型：
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作者：
S. Treber;R. Breig;M. Kentner;B. Häfner;G. Lanza
今天，所有行业的公司都是全球生产网络的一部分。他们与供应商和客户有着各种各样的绩效关系。数字化为全球生产网络的合作伙伴之间交换更多信息提供了可能性。这可以改善操作性能。特别是在订单管理、质量问题解决和工程变更管理这三个业务流程中，有针对性地提高透明度有望更好地处理中断并提高稳健性。本文提出了一种基于仿真的方法，用于建模生产和业务流程以及全球生产网络中的信息交换。根据实验设计（DoE）的原则，筛选测试计划首先划分出中断和信息交换对生产网络性能的影响。其次是使用田口实验的破坏鲁棒信息交换的确定。从信息交换的实际状况出发，最终确定了提高透明度的数字化活动。这些活动包括实施数字化技术和加强信息系统的联系。最后，本文将该方法应用于汽车供应商行业塑料-金属部件的全球生产网络。
Today, companies of all industries are part of global production networks. They have a variety of performance relationships with suppliers and customers. Digitalization offers the potential to exchange more information between the partners of global production networks. This may improve operational performance. Especially within the three business processes order management, quality problem solving and engineering change management, a targeted increase in transparency promises a better handling of disruptions and an increase in robustness. This paper presents a simulation-based methodology for modeling production and business processes as well as information exchange in global production networks. Following the principles of Design of Experiment (DoE), screening test plans first carve out the impact of disruptions and information exchange on the performance of the production network. This is followed by the determination of the disruption-robust information exchange using Taguchi-experiments. Starting from the actual state of information exchange, digitalization activities to increase transparency are finally determined. The activities consist of the implementation of digitalization technologies and the stronger linkage of information systems. The paper ends with an application of the methodology to a global production network for plastic-metal components in the automotive supplier industry.