Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the ...

Introduction Statistical process control (SPC) has been widely used as an aid for managing manufacturing processes. Many books have been published which outline the basics of SPC (e.g. Feigenbaum, 1983; Juran, 1975; Oakland and Followell, 1990), and organizations such as the Ford Motor Company (1986) have also published their own guides. The underlying problem which statistical process control ...

Statistical Quality Control (SQC) is a branch of Total Quality Management (TQM) that defines a quality philosophy and set the guiding principles that represent the foundation for a continuously improving organisation. Statistical Process Control (SPC) and Acceptance Sampling are the two major parts of SQC. SPC is an effective tool that aims to get and keep processes under control and ensure tha...

Statistical Process Control (SPC) is a necessary part of modern chemical processing. The software chosen to collect quality data and produce control charts will determine whether SPC is an awkward task or a smoothly operating part of the process. The right software must satisfy all basic chemical production SPC needs, while providing additional capabilities which make it the core of a well run ...

Monitoring the stability of the software process in the lower level companies is a challenging issue to software engineers. In this paper, SPC is applied to software metrics. Defect Density, Review Performance and Rework percentage and results after applying the SPC to various processes of software are discussed and analyzed, using control charts, the most sophisticated tools of SPC. The diffic...

Statistical process control (SPC) is a powerful technique for monitoring, managing, analyzing and improving process performance by statistical methods. Unfortunately, LCD industry cannot control key factors in the application process, and do not invest adequately in resources. Therefore, the performance matrix is adopted to locate those objective items outside the appropriate performance zones ...

Control charting is synonymous with statistical process control (SPC). However, the traditional control chart assumption of data independence is often violated in process industries. This problem has been analyzed and necessary modifications to the widely used SPC tools have been suggested. The performances of the modified estimators and proposed control schemes have also been studied, through ...

The quality consistence and machines’ utilization of a flexible manufacturing system (FMS) strongly depend on the statistical process control (SPC) and the correct fault diagnosis of equipments. An FMS can be modeled by the Colored Timed Petri Net (CTPN). However, the CTPN models of most FMSs lack the activities of the statistical process control (SPC) and fault diagnosis, and they lead to the ...