Data collected during product lifecycle phases ranging from the beginning of Life (BOL), to the middle of life (MOL) and the end of Life (EOL) assist designers to make informed decisions in various operational and strategic levels. The specific focus of this paper is to show that the data collected during the usage phase of Hard Disk Drives (HDDs) can be used to identify the failure rates of HDDs. Two sources of data were applied: quantitative data extracted from Self-Monitoring Analysis and Reporting Technology (SMART) software, and qualitative data collected from consumer reviews. The data were analyzed to predict the most reliable HDDS available in the market. Some of the important factors to be considered during manufacturing of an HDD are suggested based on the results obtained.
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