Industrial Engineering


Research Project 1: Statistical Process Control (SPC) to Minimize Defect in the Process

In most industries in Bangladesh, defects in the system incur an exorbitant price in final revenue. Admittedly, engineers do not design inferior quality. But, in certain stage of the system, defect occur that cause worse quality. Statistical process control (SPC) is a great tool to explore those variations.

 

 

Abstract of a paper derived from this research work:

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 the system 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 occur 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 implements 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.

 

Last updated on Wednesday, September 20, 2017