CONTROL CHART FOR CONTINUOUS QUALITY IMPROVEMENT - ANALYSIS IN THE INDUSTRIES OF BANGLADESH
| dc.contributor.author | Das, Tanmoy | |
| dc.date.accessioned | 2020-06-10T06:34:18Z | |
| dc.date.available | 2020-06-10T06:34:18Z | |
| dc.date.issued | 2017-12 | |
| dc.description | Tanmoy Das[1,2] 1Lecturer, Department of Industrial and Production Engineering, Military Institute of Science and Technology, tanmied@gmail.com 2Certified Six Sigma Green Belt, American Society for Quality | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.issn | 2224-2007 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/519 | |
| dc.language.iso | en | en_US |
| dc.publisher | R&D Wing, MIST | en_US |
| dc.subject | Control Chart, Statistical Process Control, Data Mining | en_US |
| dc.title | CONTROL CHART FOR CONTINUOUS QUALITY IMPROVEMENT - ANALYSIS IN THE INDUSTRIES OF BANGLADESH | en_US |
| dc.type | Article | en_US |
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