INTRODUCTION Asian countries are the largest exporters of textile products. In Pakistan textile sector is defined as a backbone for economic price growth and it con- tributes the most to other sectors [1]. The total contri- bution to the GDP of Pakistan’s textile sector shares more than 60% of the economy [2]. Textile compa- nies are striving hard to maintain their growth but the increase in the manufacturing overheads is causing difficulties and making it very hard for the sector to survive and provide the best product at a minimal cost. With the increase in the commodity and the service price, industries have shifted their focus from being a production-oriented manufacturing organiza- tions to quality-oriented manufacturing to eliminate the non-value-added activities and provide the best quality product to the consumers at the best possible cost [3, 4]. Due to the involving the number of work- ers checking the product repeatedly can be very expensive therefore the quality engineering tech- niques of Statistical Control Charts are used [5]. The implementation of statistical process control has been in many industries, for example, Health care industries including hospitals, clinics etc., automobile Reduction of non-conforming through statistical process control charts in textile industry DOI: 10.35530/IT.073.05.202166 SAAD MUHAMMAD SAMI ABDUL IDREES MUHAMMAD DAWOOD RAUF MUHAMMAD ANSARI ARSALAN JAMIL ATIF ABSTRACT – REZUMAT Reduction of non-conforming through statistical process control charts in textile industry 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. Keywords: statistical process control, attribute charts, process monitoring, Control Limits, Six Sigma Reducerea neconformităților prin diagrame de control statistic al proceselor în industria textilă Industria textilă din Pakistan este un sector în continuă dezvoltare, care contribuie cu o cotă importantă în economie. Exporturile din Pakistan depind în mare măsură de produsele textile. Un defect minor al bunului finit poate cauza pierderi majore ale mărfurilor de export. Pentru că numărul de muncitori care se ocupă de verificarea produsului în mod repetat, poate fi foarte costisitor, prin urmare, tehnicile de inginerie a calității Diagramelor de control statistic sunt utilizate în industria textilă. Acest studiu de cercetare își propune să dezvolte diagrame de control al procesului pentru industria textilă din Pakistan. În acest scop, a fost luată în considerare industria textilă. Diagrama P a fost dezvoltată pentru a monitoriza variația procesului cu deviația standard Six Sigma. Colectarea datelor a durat șase luni de la diferite departamente ale industriei textile. Datele atributelor au fost colectate pentru analiza din 4 unități diferite ale industriei. Construcția diagramei P include limitele de control (CL), limitele superioare de control (UCL), abateri de 3 sigma de la limita medie de control (CL), limitele inferioare de control (LCL), abaterea de –3 sigma de la limita medie de control (CL). Rezultatul a arătat că procesele unităților de producție erau sub control, totuși, media nu a fost centrată, ceea ce s-a datorat unei cauze comune a procesului care este acceptabilă. Diagrama P poate servi ca standard pentru noul proces care urmează să fie dezvoltat. Cuvinte-cheie: controlul statistic al procesului, diagrame de atribute, monitorizarea procesului, Limite de control, Six Sigma 537 industria textila 2022, vol. 73, no. 5 ˘