Abstract
Abstract This paper is devoted to the use of statistical methods to ensure the highest quality processes. Specifically, it deals with creating an application in MS Excel which evaluates standard statistical parameters and if the required process capability indices are complied with, then it is possible to proceed to SPC (statistical process control). The application was created in MS Excel using the Visual Basic for Application programming language. In addition to the required calculations, the application also generates forms with all important data. This application was designed to reduce reject rate and improve the production process in a contracting company.
Highlights
Introduction methodology of the studyNowadays we meet with the term quality in all fields
This paper is devoted to the use of statistical methods to ensure the highest quality processes
It deals with creating an application in MS Excel which evaluates standard statistical parameters and if the required process capability indices are complied with, it is possible to proceed to SPC
Summary
Nowadays we meet with the term quality in all fields. For this reason, the question of quality is inherent in our lives. The number of nonconforming products has increased in the production and the company has had long-term problems with evaluating process capability indices as they are called The values of these indices are a significant feature of the process quality [1]. The introduction of SPC minimizes the occurrence of rejects and makes the whole process less expensive and more efficient Another advantage will be that the course of monitored features of quality can be graphically recorded [3, 4]. The quality of the process is based on several basic areas such as people, machines and tools, materials, procedures, environment, and measurement [6] It is the appropriate setting of these areas which enables the company to achieve the desired or highest quality of the entire process. This plotting of values takes place precisely within a specified time interval so as to cover the entire process [9, 10]
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