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Measurement Center Processes Support in the Automotive Industry

机译:测量中心在汽车行业中的支持

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Nowadays, business process management and process modeling is an important part of business management and business process improvement. Resulting from the increasingly fast growing customer requirements for the final product, organizations need to introduce process management. The work presented in this paper was situated in the area of the automotive industry, which is the most important sector of the world economy. Technical development is progressing with rapid fashion, and even in the automotive industry, there is a need to monitor, manage and improve production processes. This is related to the deployment and use of information systems that support and automate these processes. The main goal of the work described in the paper is to provide a brief overview of the field of business process management, process modeling, related technologies, and the situation of the automotive industry in general. This work also analyzes the current situation in one of the measurement centers, selected processes, and user requirements for the application supporting those processes. Based on the analysis, we proposed an improvement of the selected processes and also designed a web application that supports these processes. The application was built using current technologies such as ASP.NET Core Framework, MVC architecture and the available libraries. Results of testing proved that the solution meets all requirements and in terms of key performance indicators surpassed the expected results. It is suitable for real use in practice and in the future, it is recommended its deployment to all measurement centers.
机译:如今,业务流程管理和流程建模是业务管理和业务流程改进的重要组成部分。由于最终产品日益快速增长的客户要求,组织需要引入流程管理。本文提出的工作位于汽车工业领域,这是世界经济最重要的部门。技术开发正在以快速的方式进步,即使在汽车行业,也需要监控,管理和改进生产过程。这与支持和自动化这些进程的信息系统的部署和使用有关。本文描述的工作的主要目标是简要概述业务流程管理,流程建模,相关技术以及汽车行业的情况。这项工作还分析了一个测量中心,所选进程和支持这些过程的应用程序的用户要求中的当前情况。基于分析,我们提出了改进所选进程,并且还设计了支持这些进程的Web应用程序。该应用程序是使用当前技术构建的,例如ASP.NET核心框架,MVC架构和可用库。测试结果证明,该解决方案符合所有要求,并就关键绩效指标超过了预期的结果。它适用于实际使用,并在将来,建议将其部署到所有测量中心。

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