Plain bearings. Quality characteristics. Statistical process control (SPC)

1994 ◽  
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Quality Characteristics ◽  
Statistical Process

scholarly journals Basic Developments of Quality Characteristics Monitoring

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Shahryar Sorooshian
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Chart ◽  
Quality Characteristics ◽  
Comprehensive Understanding ◽  
Statistical Process ◽  
Production Processes ◽  
Control Theories

Process control tools are a widely used approach in many operations and production processes. Process control chart ranks as one of the most important theories used in these disciplines. This paper reviewed the bias of quality characteristics monitoring. Specifically, this study tries to provide a comprehensive understanding of theories of process control. The text starts with a theoretical review of statistical process control theories and follows by a technical introduction to developed tools for process control.

scholarly journals Aplicación de los gráficos de control en el análisis de la calidad textil

2005 ◽  
pp. 125 ◽  
Author(s):  
Carmen Huerga Castro ◽  
Pilar Blanco Alonso ◽  
Julio Abad González
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Quality Characteristics ◽  
Statistical Process ◽  
Control Techniques ◽  
Spinning Process ◽  
Productive Process ◽  
High Level ◽  
Textile Sector

El actual nivel de competencia existente en el sector textil hace que las empresas locales deban lograr y mantener un alto nivel de calidad en sus productos. Para conseguirlo, es preciso tomar medidas desde los niveles iniciales del proceso productivo, que es donde hemos centrado nuestra atención. En este trabajo se pretende mostrar la utilidad de las técnicas de Control Estadístico de Procesos en la evaluación de la calidad textil. Concretamente, se diseñan gráficos de control univariantes y multivariantes para vigilar de forma individual y conjunta distintas características de calidad relacionadas con un proceso de hilatura.<br /><br />The present competence in textile sector compels local manufacturers to reach and maintain the high level of quality in its products. In order to get it, it is necessary ot take measures from the initial levels of the productive process, and that's where we have focused our attention. This parper tries to show the usefulness of the Statistical Process Control techniques in evaluating textile quality. In particular, univariate and mulitvariate control charts are designed to monitor both individually and jointly the differnet quality characteristics related to the spinning process.

scholarly journals Implementation of Statistical Process Control (SPC) in the Sewing Section of Garment Industry for Quality Improvement

2018 ◽  
Vol 18 (2) ◽  
pp. 160-172 ◽  
Author(s):  
Mulat Alubel Abtew ◽  
Subhalakshmi Kropi ◽  
Yan Hong ◽  
Linzi Pu
Keyword(s):  
Quality Improvement ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Garment Industry ◽  
Quality Characteristics ◽  
Critical Parameters ◽  
Successful Implementation ◽  
Statistical Process ◽  
Before And After

Abstract The main aim of this research was to implement appropriate Statistical Process Control (SPC) techniques for quality characteristics on sewing floor of garment Industry. Among different SPC quality improvements tools, control charts have been selected. After analyzing and selecting different critical parameters based on company and customer requirements, the X-bar and R charts for variable and c-charts for attribute quality characteristics have been identified and implemented in the trouser sewing lines for quality improvement. The check points for selected control chart implementation have also been designed. Remedial action plans for the occurred special cause variations and process stability were developed. The project incorporated theoretical and on-job training schemes for different quality team members, to understand the SPC concept and its implementation procedure. After implementation, significant improvements in the sewing section were achieved. The four months analysis before and after implementation of the SPC tools showed that the rejection percentage was reduced from 9.141% to 6.4%. Successful implementation of the result of this project can significantly improve process performance of other similar manufacturing units with appropriate modification.

Statistical Process Control for Latent Quality Characteristics Using the Up-and-Down Test

Technometrics ◽  
2017 ◽  
Vol 59 (4) ◽  
pp. 496-507 ◽  
Author(s):  
Dongdong Xiang ◽  
Fugee Tsung ◽  
Xiaolong Pu
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Quality Characteristics ◽  
Statistical Process
Sign in / Sign up

Export Citation Format

Share Document