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.
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