Open AccessImportance of Quality Control Implementation in the Production Process of a Company
Author(s) -
Francisco Javier Blanco-Encomienda,
Elena Rosillo-Díaz,
Juan Francisco Muñoz-Rosas
Publication year - 2018
Publication title -
european journal of economics and business studies
Language(s) - English
Resource type - Journals
eISSN - 2411-9571
pISSN - 2411-4073
DOI - 10.26417/ejes.v10i1.p248-252
Subject(s) - quality (philosophy) , statistical process control , production (economics) , control (management) , process (computing) , product (mathematics) , inference , statistical inference , computer science , statistical hypothesis testing , business , marketing , process management , economics , mathematics , statistics , artificial intelligence , microeconomics , philosophy , epistemology , operating system , geometry
The concept of quality has gained increasing importance over the last decades. Regarding the production process of a company, the quality control implementation allows companies to offer a higher quality product, which has positive influence on customer satisfaction. This paper aims to reflect the importance of statistical methods for quality control. Based on the two broad areas of statistical inference, parameter estimation and hypothesis testing, we demonstrate the usefulness of such methods in problem solving when the proportion of defective items is considered.