Search for dissertations about: "spc"
Showing result 1 - 5 of 29 swedish dissertations containing the word spc.
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1. Detecting, Identifying and Managing Sources of Variation in Production and Product Development
Abstract : It is well known that customers have varying needs and wants and thus expect to have a broad spectrum of products to choose from. However, they hardly tolerate variation in products produced to the same specifications. READ MORE
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2. Adapting Experimental and Monitoring Methods for Continuous Processes under Feedback Control : Challenges, Examples, and Tools
Abstract : Continuous production covers a significant part of today’s industrial manufacturing. Consumer goods purchased on a frequent basis, such as food, drugs, and cosmetics, and capital goods such as iron, chemicals, oil, and ore come through continuous processes. READ MORE
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3. Contributions to the Use of Statistical Methods for Improving Continuous Production
Abstract : Complexity of production processes, high computing capabilities, and massive datasets characterize today’s manufacturing environments, such as those of continuous andbatch production industries. Continuous production has spread gradually acrossdifferent industries, covering a significant part of today’s production. READ MORE
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4. The Sampling Pattern Cube : A Framework for Representation and Evaluation of Plenoptic Capturing Systems
Abstract : Digital cameras have already entered our everyday life. Rapid technological advances have made it easier and cheaper to develop new cameras with unconventional structures. The plenoptic camera is one of the new devices which can capture the light information which is then able to be processed for applications such as focus adjustments. READ MORE
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5. Application of Statistical Methods : Challenges Related to Continuous Industrial Processes
Abstract : For decades, many efficient statistical improvement methods have been available to improve the quality of processes and products. Statistical process control (SPC), process capability analysis (CA), and design of experiments (DoE) are among the most powerful process monitoring and problem-solving methods in the quality engineering toolbox. READ MORE