ABSTRACT

The increasing digitalization in the automotive industry is influencing the structure of the traditional value chain and calls for the handling of large amounts of data to remain competitive in a constantly changing environment. This results in new challenges for purchasing management, which has to cope with agile integration of service providers as well as interorganizational process automation using electronic data exchange platforms. This work analyzes the electronic document stream on supplier management platforms by proposing an automated text mining framework. Both textual components, e. g., requests for information and offers, and narrative material, e. g., financial and calculation data, are being analyzed by topic modeling and descriptive statistics. The methodological approach is introduced and illustrated by the use case of service provider documents in purchasing processes. The results reveal financial potential for purchasing and generally contribute to supply chain cost management.

摘要

汽车行业日益数字化正在影响传统价值链的结构，并要求处理大量数据以在不断变化的环境中保持竞争力。这给采购管理带来了新的挑战，采购管理必须应对服务提供商的敏捷集成以及使用电子数据交换平台的组织间流程自动化。这项工作通过提出一个自动文本挖掘框架来分析供应商管理平台上的电子文档流。文本组件（例如信息和报价请求）和叙述材料（例如财务和计算数据）都通过主题建模和描述性统计进行分析。方法论方法通过采购流程中服务提供商文档的用例进行介绍和说明。结果揭示了采购的财务潜力，通常有助于供应链成本管理。