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About Economic Design of Control Chart Using Particle Swarm Optimization
This thesis investigates the economic design of an X control chart using particle swarm optimization. Gajanand Gupta developed a computer program in C language to optimize the sample size, sampling interval, and width of control limits to minimize the expected total cost per hour. The particle swarm optimization technique was used to determine the optimal control chart parameters. The results obtained using this approach were found to provide better economic design compared to values reported in previous literature. The thesis aimed to contribute to improving quality control through reducing costs.
Detailed Information
Author: | ['Virender Singh'] |
---|---|
Publication Year: | 2012 |
Pages: | 46 |
Language: | English |
Format: | |
Price: | FREE |
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