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All Journal Jambura Science of Management JOBS (Jurnal Of Business Studies) TECHNO-SOCIO EKONOMIKA Best Journal of Administration and Management
Yuni Pambreni
Jakarta Global University
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : JOBS (Jurnal Of Business Studies)

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ANALYSIS OF QUALITY IMPROVEMENT USING STATISTICAL PRPOCESS CONTROL TOOLS TO REDUCE THE DEFECT LEVEL OF GREY FABRIC PRODUCT (A CASE STUDY AT PT SARI WARNA ASLI II BOYOLALI) Yuni Pambreni; Karnowahadi Karnowahadi; Budi Prasetya
JOBS (Jurnal Of Business Studies) Vol 2, No 2 (2016): Desember 2016
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jobs.v2i2.667

Abstract

This study aims to find out the implementation of quality control of products at PT Sari WarnaAsli II Boyolali by using statistical methods, to identify the type of dominant product defects and to identify the factors that resulted in product defect including Light Filling Bar, Miss Pick, and Filling Bar. The method of collecting data are interview, observation, and literature review. Analysis of quality control is done by using Statistical Process Control tools such as check sheet, histogram, c chart, pareto chart, and fishbone chart. Check sheet and histogram are used to present data become easier to be understood for further analysis. C chart analysis result indicate that there are 27 days in March 2016 in which the data is out of control limits, it means that quality control in the company needs further improvement. According to pareto analysis, the dominant of defects are Light Filling Bar (45,3%), Miss Pick (28,8%), and Filling Bar (25,9%). From fishbone chart, it can be known that the main causes that trigger the defects are derived from method factor, personnel (man) factor, and machine factor. The company could take preventive and corrective measures to reduce the defect level and improve quality among others, by enhancing supervision, improving work assessment, and regenerating machines.
Co-Authors Budi Prasetya Dwi Rachmawati Karnowahadi Karnowahadi Rayeskana Istighfarkhan Jaysan Suci Ayu Sudari Udriyah Udriyah Zakia Maulida Antono