CONTROL CHART FOR CONTINUOUS QUALITY IMPROVEMENT - ANALYSIS IN THE INDUSTRIES OF BANGLADESH
DOI:
https://doi.org/10.47981/j.mijst.05(01)2017.123(%25p)Keywords:
Control Chart, Statistical Process Control, Data MiningAbstract
This research aimed for collecting data relevant to statistical process control from prominent manufacturing
industries in Bangladesh and analyze the current situation of quality control in production line and apply
statistical process control tools, particularly, Control chart, to identify defects. Engineers do not design inferior
quality. Usually, in a certain stage of the system, in all scenarios of manufacturing or service industries, defects
occurs that cause worse quality. Statistical process control (SPC) is a great tool to explore those variations. The
author performs time series analysis using line graph and control chart to evaluate the system quantitatively.
This article provides an overview of control chart regarding manufacturing industries in Bangladesh and
implement control chart to remove out of control scenarios from the manufacturing processes. After analyzing
the data obtained from the manufacturing system, out of control or defective data point has been discovered
and removed, and thereafter the system is in control.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2019 MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Users are permitted to read, download, copy, distribute, print, search, or link to the full texts of the articles, provided that appropriate credit is given to the original authors.
