Journal article Open Access
Mohammad Ali Afshar Kazemi; Mohammad Mehdizadeh; Ali Reza Agha Gholizadeh Sayar; Azam Ali Khademi
This study investigated the application of data analysis algorithm in quality control, case study research: the body making hall of Peugeot 206. In recent decades, human ability for production and collection of data has been increasing rapidly. Some factors play important role in this process; for instance, widespread usage of computer abilities in diverse sciences, development in instruments for collection data, scan and coherent information systems, coherent banking systems, and electronic trading. The explosion development in saved data caused to produce new technologies and automatic instruments in order to convert the numerous content of data to science and information. Therefore, data analysis is a solution for the problems. Data analysis is predicated to use of data analysis instruments in order to detect the patterns and valid relations which has unknown so far. The present study is applied to report data analysis in a production hall of Iran Automotive company; which the main aim is to indicate the valid assessment and amount of reliability and accuracy of inspectors in the body making hall. In the present study, the researcher attempts to present this accuracy by percent and using CLEMENTINE program, and attempts to illustrate it when an inspector confirms a body, to what extent could have the probability to require again inspection by the editors immediate reaction system. In the present study, it has utilized the primitive data from information systems about the quality which were access in order to accomplish computation by CLEMENTINE program. The findings of the research revealed that the prediction is trustable in 85% of occasions; by using data analysis in the process of quality control and anticipation the accuracy of people operation in the body making hall and preventing of exploration of the problem and again defect in reactivity section.