Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"Statistical process control (SPC)"”.
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Statistical process control (SPC) in a high volume machining center : gage repeatability and reproducibility study
The purpose of this project is to set up a statistical process control (SPC) system in a high volume machining center to reduce the scrap rate and improve the manufacturing quality. The system is demonstrated on a machining center at Waters Corporation as part of a team internship project. This …
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Statistical process control (SPC) in a high volume machining center : value of standard operating procedures
Statistical process control is implemented in a high volume machining center to reduce scrap and improve the quality of production. New hires are working in a complex production environment with excellent metrology resources that can be used for real time inspection but there is a lack of standard …
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Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network
Variation in manufacturing process is known to be a major source of poor quality products and variation control is essential in quality improvement. In bivariate cases, which involve two correlated quality variables, the traditional statistical process control (SPC) charts are known to be effective …
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Statistical process control with special reference to multivariable processes and short runs
The quest for control and the subsequent pursuit of continuous quality improvement in the manufacturing sector, due to increasingly keen competition, has stimulated interest in statistical process control (SPC). Whilst traditional SPC techniques are well suited to the mass production industries, …
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Quantitative selection of inspection plans for variation risk management
… manufacturing variation through robust design, statistical process control (SPC), and inspection. This thesis focuses on the last: how to choose an inspection plan to remove the most variation at the lowest cost. The optimal inspection plan balances the cost of inspection and rework against the …
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A nonparametric change point model for multivariate phase-II statistical process control.
Phase-II statistical process control (SPC) procedures are designed to detect a change in distribution when a possibly never-ending stream of observations is collected. Extensive study has been conducted with the purpose of detecting a shift in location (e.g. mean or median) when univariate …
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SIMULTANEOUS APPLICATION OF MULTIPLE PROCESS CONTROL RULES
<p>Statistical Process Control (SPC) charts are tools used in quality control to monitor and analyze the stability of a process over time. This study evaluates the effectiveness of eight individual Western Electric rules, also known as WECO rules, and the various combinations of these rules with …
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Statistical process control approach to reduce the bullwhip effect
… a quantitative solution in the form of a Statistical Process Control (SPC) based inventory management system is proposed that reduces the bullwhip effect while reducing inventory without compromising service level requirements for a variety of products. The strength of this methodology is …
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Control of a semiconductor dry etch process using variation and correlation analyses
Statistical process control (SPC) is one of the traditional quality control methods that, if correctly applied, can be effective to improve and maintain quality and yield in any manufacturing facility. The purpose of this project is to demonstrate how to effectively apply SPC to a dry etch process …
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Study of artificial neural network scheme application in manufacturing industry for monitoring-diagnosis bivariate process variation
In manufacturing industries, process variation is known to be a major source of poor quality. As such, process monitoring and diagnosis is critical towards continuous quality improvement. This becomes more challenging when involving two or more correlated variables (multivariate). Process …
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Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
Control chart is one of the seven problem solving tools in Statistical Process Control (SPC) and become a very popular technique in improving productivity, preventing defects and avoid purposeless process adjustment. Real data or problems nowadays are too complicated to handle and the difficulty …
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Leveraging Statistical Process Control for continuous improvement of the manufacturing process
Statistical Process Control (SPC) has been applied to manufacturing processes for several decades as a means of ensuring product quality and has become a primary tool for the application of continuous improvement efforts. Continued Process Verification (CPV) is a Food and Drug Administration …
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A case model for predictive maintenance
… and uptime is highly important to customers. Statistical analysis is performed on historical data to extract metadata that can reflect the machine health, and statistical process control (SPC) is applied to detect deviations from normal or in-control behavior. Methods for failure prevention …
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Mahalanobis kernel-based support vector data description for detection of large shifts in mean vector
Statistical process control (SPC) applies the science of statistics to various process control in order to provide higher-quality products and better services. The K chart is one among the many important tools that SPC offers. Creation of the K chart is based on Support Vector Data Description …
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Improvement of Statistical Process Control at St. Jude Medical's Cardiac Manufacturing Facility
… In order for companies to reach six sigma, statistical process control (SPC) needs to be introduced. SPC has many different tools associated with it, control charts being one of them. Control charts play a vital role in managing how a process is behaving. Control charts allow users to …
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Time series data analytics : clustering-based anomaly detection techniques for quality control in semiconductor manufacturing
Optimizing their manufacturing systems and processes whilst ensuring a low production cost is important for Analog Devices, Inc. (ADI). Therefore, detecting anomalies on production lines and alerting on out-of-control processes is crucial. Although Statistical Process Control (SPC) methods have …
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Improvement of cleaning effectiveness through Statistical Process Control in active pharmaceutical ingredient (API) manufacturing
… done to improve the effectiveness of cleaning processes at an active pharmaceutical ingredient (API) manufacturing site that was in the phase of engineering trials and cleaning cycle development. Cleaning cycles executed on the site prior to the project were found to be inconsistent in cleaning …
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The Use of Image and Point Cloud Data in Statistical Process Control
… important diagnostic information needed for process recovery. Modern measurement technologies should spur the transformation of statistical process control (SPC) to provide practitioners with additional diagnostic information. This dissertation focuses on how MVSs and 3D laser scanners can be …
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Statistical process control in stamping process using pattern recognition approach
Unnatural process variation (UPV) is a vital quality problem in the metal-stamping process that contributes to the causes of poor product quality. In the production site, sources of UPV are usually found based on special causes. Recently, there are still debates amongst researchers to find an …
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