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Manufacturing Parts Dimensions and Operator Data
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About
The physical dimensions of parts created within a specific industrial setting. It details 500 parts produced by each of 20 distinct operators over one operational period. The context highlights that these operators possess varying training backgrounds, making the data highly relevant for assessing how individual training impacts production variances. It is important to note that the target or ‘perfect’ measures for these parts are not supplied alongside the data.
Columns
- Item_No: The identifying number assigned to the specific manufactured item.
- Length: The measured length of the part.
- Width: The measured width of the part.
- Height: The measured height of the part.
- Operator: The unique ID assigned to the operator who produced the part.
Distribution
The data is typically delivered in a structured file format, such as CSV (the sample file is named
Piece_Dimension.csv and is 14.23 kB). The dataset details the characteristics of 10,000 records in total, derived from 500 parts measured for each of the 20 participating operators. The expected update frequency for this specific historical dataset is never.Usage
This dataset is ideally suited for tasks involving quality assurance analysis, statistical process control modelling, and studying the relationship between human factors (like operator training) and manufacturing output precision. It can be utilised to establish baseline metrics for dimensional variance.
Coverage
The data covers production statistics generated by 20 specific operators within a single, unnamed industry. The scope is limited to one distinct period of time. It focuses on demographic variance solely through the lens of operator training background.
License
CC0: Public Domain
Who Can Use It
- Quality Control Engineers: To establish tolerance limits and identify production outliers.
- Data Scientists: For developing machine learning models to predict part usability or classify dimensions.
- Manufacturing Managers: To benchmark operator efficiency and inform training programme improvements.
Dataset Name Suggestions
- Manufacturing Parts Dimensions and Operator Data
- Industrial Part Quality Metrics
- Operator Performance Manufacturing Study
- Piece Dimension Metrics
Attributes
Original Data Source: Manufacturing Parts Dimensions and Operator Data
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