A Smartphone Quality Evaluation Model Based on Quality Loss Function and Gamma Distribution  
Author Kuen-Suan Chen

 

Co-Author(s) Tsun-Hung Huang; Yen-Chun Huang

 

Abstract The smartphone penetration rate in advanced countries has reached nearly 80%, with some nations approaching 90%, making smartphones the most widely used information product ever invented. The smartphone industry has thus become a key driver of global economic development. People use smartphones for communication, information acquisition, work, learning, social interaction, health monitoring, and even investment activities. Losing access to a smartphone can cause severe disruptions to daily life, making smartphone quality a critical factor in user experience and, consequently, in market competitiveness for manufacturers. To assess smartphone quality, manufacturers can rely on historical repair and complaint records to evaluate product performance over its lifecycle. However, accumulating such long-term data takes considerable time, making this approach too slow to provide timely feedback for improvement during the limited product lifecycle. To enable rapid smartphone quality evaluation, this study applies the concept of the quality loss function alongside probabilistic models based on the gamma distributions. We propose an indicator derived from the time intervals between repair events to quickly assess smartphone quality, determine whether the quality falls below expectations, and provide timely recommendations for improvement to prevent quality degradation.

 

Keywords Smartphone, information product, quality loss function, gamma distribution
   
    Article #:  RQD2025-140
 

Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design
August 6-8, 2025