In this paper, an attempt has been made to implement the some statistical process control (SPC) techniques in the industry that is offering its customers the widest and latest range of sealing solutions for various applications in the automotive industry. The power of SPC lies in the ability to examine a process and the sources of variation in that process, using tools that give weightage to ob...

controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. one of the common approaches for process control is applying shewhart's quality control charts. neuro-fuzzy networks, as one of the branches of artificial intelligence (ai), can play an effective role in the enforcement of process control's common...

S PC is SPC is discussed with a view to indicating its implications not only to manufacturing and quality but to research and product development as well. In the manufacturing/quality area, the efforts and methods attending full-scale implementation of SPC are briefly reviewed with special reference to the differences inherent in powder making versus manufacturing of parts. SPC charting techniq...

AN INTEGRATED APPROACH TO PROCESS CONTROL A discussion of Statistical Process Control, Total Productive Maintenance, and Automated Process Control in production processes. The control of production processes is the subject of several disciplines, such as Statistical Process Control (SPC), Total Productive Maintenance (TPM), and Automated Process Control (APC). Although these disciplines are tra...

Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper we propose a control mechanism based on the cumulative quant...

Recently, statistical process control (SPC) methodologies have been developed to accommodate autocorrelated data. To construct control charts for stationary process data, the process variance needs to be estimated. For an independently identically distributed sequence of a random variable, the variance is usually estimated by the sample variance. For a weakly stationary process, different estim...

AN INTEGRATED APPROACH TO PROCESS CONTROL A discussion of Statistical Process Control, Total Productive Maintenance, and Automated Process Control in production processes. The control of production processes is the subject of several disciplines, such as Statistical Process Control (SPC), Total Productive Maintenance (TPM), and Automated Process Control (APC). Although these disciplines are tra...

Statistical process control (SPC) for injection molding typically consists of setting alarm limits on a few important molding variables for real-time part containment. A new multivariate statistical process control (MSPC) method is presented that utilizes the measurement of process variable relationships to achieve a more robust quality control system. This approach not only detects process out...