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Development of a Graphic Information System Applied to Quality Statistic Control in Production Processes
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Development of a Graphic Information System Applied to Quality Statistic Control in Production Processes
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Development of a Graphic Information System Applied to Quality Statistic Control in Production Processes
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Journal Article
Development of a Graphic Information System Applied to Quality Statistic Control in Production Processes
2020
Overview
One of the advantages that organizations have when using an Information System is the control of their activities. This article develops an Information System that will allow an organization to graphically obtain the real results of a production process by applying Nelson's eight rules to determine if any measured variable is out of control. The software architecture pattern used is the Model View Controller (MVC) to keep the functionality of the application separate. The front-end, that is, the part that interacts with the users, was developed in ASP.NET as a web platform to provide the required services, JavaScript, HTML 5, Razor and Bootstrap. The back-end, which is the part that processes the entry of the front-end and performs the calculations, operations, communication with the database and reading of files, was developed with the C sharp programming language, the SQL Server database management system and the entity framework. As a result, the system sends an e-mail as an alarm with an explanation of what has happened when it detects that some measured variable is out of control by applying Nelson's rules. This allows the organization to make effective decisions in the processes involved.
Publisher
Science and Information (SAI) Organization Limited
