scholarly journals Multivariate statistical process control charts: an overview

2007 ◽  
Vol 23 (5) ◽  
pp. 517-543 ◽  
Author(s):  
S. Bersimis ◽  
S. Psarakis ◽  
J. Panaretos
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Multivariate Statistical Process Control ◽  
Multivariate Statistical ◽  
Statistical Process ◽  
Process Control Charts ◽  
Statistical Process Control Charts

Statistical process control charts for monitoring military injuries

2017 ◽  
Vol 23 (6) ◽  
pp. 416-422 ◽  
Author(s):  
Anna Schuh ◽  
Michelle Canham-Chervak ◽  
Bruce H Jones
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Statistical Process ◽  
Process Control Charts ◽  
Statistical Process Control Charts

TOTAL QUALITY MANAGEMENT USING PARETO DIAGRAMS AND STATISTICAL PROCESS CONTROL CHARTS (SPC) APPLIED TO PRECAST BEAMS

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Mifta Priyanto
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Control Charts ◽  
Range Limit ◽  
Total Quality ◽  
Statistical Process ◽  
Process Control Charts ◽  
Statistical Process Control Charts

This paper presents the application of Total Quality Management Method using Pareto diagrams and Statistical Process Control charts (SPC). These tools can be applied to both the manufacturing and construction sectors. A Pareto diagram can figure out some of the dominant problems of the projects, and SPC can determine whether the data variation is within control limits. SPC can measure the quality of performance in learning curve using the upper-range limit and lower-range limit of the control analysis. A case study was conducted on a precast beams installation at a rental multi-story residential project in Jakarta, Indonesia. Based on the measurement, some data are outside of the control limit due to the problems identified in the Pareto diagram. Further analysis by measuring the Process Capability Ratio (Cp) produces a value <1, indicating that project management needs to be careful about process variation.

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