Disassembly-based bill of materials data for consumer electronic products
Data set represents the average bill of materials for 25 common categories of consumer electronics products collected via product disassembly and physical material identification and measurement. These data records are compiled in two excel workbooks containing BOM data collected and organized at di...
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Format: | Dataset |
Sprache: | eng |
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Zusammenfassung: | Data set represents the average bill of materials for 25 common categories of consumer electronics products collected via product disassembly and physical material identification and measurement. These data records are compiled in two excel workbooks containing BOM data collected and organized at different levels of aggregation. First, the “Disassembly Detail” workbook provides resolved material and component data at the level of each major assembly and sub-assembly. Each worksheet represents a single product category, and most categories contain detailed data for multiple product samples.Second, the “Product Bill of Materials” workbook provides total mass and mass percent of each separable material and component for all products studied and a mean, maximum, and minimum mass (g) and mass percent (%) for each product category calculated using the lab data points. The workbooks also includes literature values, and evaluated using three parameters: traceability, level of detail and category consistency. This qualitative analysis of data from published literature is indicated next to each data point. Third, the "Uncertainty Analysis" workbook provides information on mass of the product prior to disassembly, post disassembly, and manufacturer reported mass, when available for the same make, model, and year of the product studied in the lab. Percentage difference between mass of the product prior and post disassembly, and mass of the product post disassembly and reported mass by manufacturer is provided. This workbook also includes side by side comparison of our lab BOM data for iPod and Amazon kindle to the high quality literature data. |
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DOI: | 10.6084/m9.figshare.11306792 |