Statistical process control systems in apparel production

Autor: Erzi Hidayat, Retno Kusumaningrum, Nurul Aini, Mustafid
Rok vydání: 2017
Předmět:
Zdroj: 2017 International Conference on Information Technology Systems and Innovation (ICITSI).
DOI: 10.1109/icitsi.2017.8267931
Popis: The apparel production is the one of important sector which supporting an economy countries, especially in developing country such as Indonesia. In the era of globalization, Small and Medium Enterprises should process the competence to produce an acceptable product to stimulate enhance of business. Therefore, defective rates product should reducing, more over in the process of apparel production. The process design of apparel consist of various phase with the base fabric component, cutting, tailoring until finishing and inspecting. The research aims to develop a quality control system on Small and Medium Enterprises in apparel production as the case study in Kudus, Indonesia. In the mechanism control proposed with mobile application to send the data defect into main storage and Statistical Process Control technique as the primary analysis, p-chart is used to monitor characteristics product that requires only single decision, such as good or bad and counting number of defect. In addition to control the production process, the final result of the research will be measuring process capability to see how the process capability in apparel production. At the end the defective chart was displayed into online web systems. The result of the research shows the quality control systems are capable of performing data analysis product.
Databáze: OpenAIRE