@article{muhammad_reduction_2022,
	title = {Reduction of non-conforming through statistical process control charts in textile industry},
	volume = {73},
	issn = {12225347},
	url = {http://revistaindustriatextila.ro/images/2022/5/008%20SAAD%20MUHAMMAD%20INDUSTRIA%20TEXTILA%20no.5_2022.pdf},
	doi = {10.35530/IT.073.05.202166},
	abstract = {The textile industry of Pakistan is a growing sector that contributes to the economy. Pakistan exports depend heavily
upon textile goods. A minor defect in the finished good can cause a major loss of the export goods. Due to the involving
the number of workers checking the product repeatedly can be very expensive therefore the quality engineering
techniques of Statistical Control Charts are used in the textile industry. This research study aims at developing process
control charts for the textile industry in Pakistan. For this purpose, the textile industry was taken into consideration.
P-chart was developed to monitor the variation in the process with a Six Sigma standard deviation. The collection of
data was for six months from various departments of the textile industry. The attribute data were collected for the
analysis from 4 different units of the industry. The construction of the P-Chart includes the Control Limits (CL), Upper
Control Limits (UCL), 3 sigma deviations from the mean Control Limit (CL), Lower Control Limits (LCL), –3 sigma
deviation from the mean Control Limit (CL). The result showed that the processes of the production units were under
control, however, the mean was not centred which was due to some common cause of the process which is acceptable.
The P-chart can serve as a standard for the new process to be developed.},
	number = {05},
	urldate = {2022-10-30},
	journal = {Industria Textila},
	author = {Muhammad, Saad and Dawood, Idrees Muhammad and Arsalan, Ansari and Abdul, Sami and Muhammad, Rauf and Atif, Jamil},
	month = oct,
	year = {2022},
	pages = {537--543},
}