EMPLOYMENT OF QUALITY CONTROL FOR SOLDER PASTE THICKNESS OF INTEGRATED CIRCUIT USING FUZZY TRIANGULAR $\widetilde{\bar{X}}-\widetilde{R}$ CHARTS
Keywords:
fuzzy charts, charts, cuts, average run length (ARL), solder paste thicknessDOI:
https://doi.org/10.17654/0972087125030Abstract
Quality has become crucial for consumers, prompting the need for strict control measures. Statistical Process Control (SPC) is widely used to monitor and improve performance, traditionally assuming independent, normally distributed data. However, real-world data often contains uncertainties from human, measurement, or environmental factors, challenging traditional control chart use such as $\bar{X}-R$ control charts. To overcome this, fuzzy control limits based on fuzzy set theory are introduced. This study uses $\alpha$-cuts and fuzzy triangular numbers to develop fuzzy $\widetilde{\bar{X}}-\widetilde{R}$ charts for monitoring solder paste thickness in integrated circuits. These fuzzy charts prove more effective than traditional ones, yielding lower average run length (ARL) values.
Received: May 8, 2025
Accepted: June 12, 2025
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