基于过程挖掘的某重型制造业采购过程分析

Hind R’bigui, Chiwoon Cho
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引用次数: 10

摘要

信息和通信技术的快速发展使公司承受着不断改进业务流程的压力,以便能够在竞争激烈的环境中保持自己的地位。为此,最近出现了过程挖掘,通过从今天的信息系统(如供应链管理系统、工作流管理系统、企业资源计划、客户关系管理系统等)中记录的事件数据中提取与过程相关的知识来分析组织的行为。本文介绍了过程挖掘在某重工业采购过程中的工业应用。该过程的事件数据从公司的造船加工计划管理系统中提取,并使用过程挖掘技术进行过滤和分析。分析的结果可以被公司用来优化和改进他们的流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Purchasing Process Analysis with Process Mining of a Heavy Manufacturing Industry
The rapid growth of information and communication technologies has put companies under the pressure of continuously improving their business processes to be able to maintain their position in a highly competitive environment. For this purpose, process mining has recently emerged to analyze the behavior of organizations through the extraction of process related knowledge from the event data recorded in today’s information systems such as Supply Chain Management System, Workflow Management System, Enterprise Resource Planning, Customer Relationship Management System, etc. This paper presents an industrial application of process mining in a real purchasing process of a heavy manufacturing industry. The event data of this process are extracted from the Shipbuilding Processing Plan Management System of the company, filtered and analyzed using process mining techniques. The findings of the analysis can be used by the company to optimize and improve their processes.
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