Paper Info
Title
Measurement Center Processes Support in the Automotive Industry.
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-67223-6_28
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, PT III
Keywords
Field
DocType
Business processes,Process modeling,Process optimization,Automotive industry,Measurement center
Information system,Business process management,Performance indicator,Software deployment,Business process,Computer science,Engineering management,Process modeling,Knowledge management,User requirements document,Process management,Automotive industry
Conference
Volume
ISSN
Citations 
657
2194-5357
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Martin Sarnovsky193.26
Petra Cibulova200.34