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首页> 外文会议>Portland International Conference on Management of Engineering and Technology >Performance Drivers in Global Production Networks--Analysis of Cause and Effect Relations between Influencing Factors and Performance of Production Sites
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Performance Drivers in Global Production Networks--Analysis of Cause and Effect Relations between Influencing Factors and Performance of Production Sites

机译：全球生产网络中的性能驱动因素 - 影响因素与生产基地性能之间的原因和效果关系分析

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摘要

Todays manufacturing companies produce goods in globally dispersed production sites in order to profit from differences in factor costs and access new markets. Due to a rising competition on global markets companies need to operate their production sites on a maximum level of performance in terms of efficiency, flexibility, quality and cycle times. The globally dispersed production sites differ in many aspects, which have an influence on their performance. The technological equipment, the size of the site or the complexity of the site's product portfolio can be mentioned exemplarily. Currently companies are not able to assess which factors have an impact on their sites' performance. Beyond that they are missing an approach to identify at which point these factors have a significant impact on the performance. Overall cause and effect relationships between performance drivers and productions site performances are still unexplored. The knowledge of these relations would enable companies to derive design guidelines for the configuration of their production networks. Therefore the aim of this paper is to develop a method to evaluate the impact of performance drivers in global production networks. The approach should enable companies to identify significant corridors of influencing factors of manufacturing sites.
机译：今天的制造公司生产在全球分散的生产网站的商品，以便从因素成本的差异获取，并获得新市场。由于全球市场的竞争上升，公司需要在效率，灵活性，质量和循环时间方面以最大的性能运营其生产网站。全球分散的生产站点在许多方面不同，这对其性能产生了影响。技术设备，现场的大小或网站产品组合的复杂性可以示例性地提到。目前，公司无法评估哪些因素对其网站的表现产生影响。除此之外，他们缺少一种方法来确定这些因素对性能产生重大影响。性能驱动程序和生产网站表演之间的总体原因和效果关系仍未开发。这些关系的知识将使公司能够导出其生产网络配置的设计指南。因此，本文的目的是开发一种评估绩效驱动程序在全球生产网络中的影响的方法。该方法应使公司识别生产现场影响因素的重要走廊。

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