Aggregated Quality Report
The Aggregated Quality Report provides quality data aggregated at the order level, offering insights into the overall quality performance of each order. Users have the ability to filter the data by date range and sections to focus on specific subsets of orders.
The table in this report displays the following information for each order:
- Order Number: The unique identifier for the order.
- Order Status: The current status of the order, indicating whether it is in progress, completed, or canceled.
- Style: The specific style associated with the order.
- Sections: The sections or departments involved in the production and inspection process for the order within the specified date range.
- Produced Quantity: The total quantity of items produced for the order within the specified date range.
- Inline Quality Level: The overall quality level achieved during inline inspections for the order, calculated as a percentage.
- Number of Inspected Pieces: The total number of pieces that were inspected for quality during the specified date range.
- Inspected Pieces with No Defects: The count of pieces that passed inspection without any defects.
- Repairs Rate: The percentage of pieces that required repair at least once during the inspection process.\Repairs Rework: The number of pieces that required multiple repairs, indicating a higher level of rework necessary for those pieces.
The key difference between the "Repairs Rate" and "Repairs Rework" metrics is as follows:
- Repairs Rate: This metric represents the percentage of pieces that required repair at least once. It provides an overview of the overall repair frequency for the order.
- Repairs Rework: This metric specifically refers to the number of pieces that required multiple repairs, indicating that these pieces needed additional repair work beyond the initial repair attempt.
By analyzing the aggregated quality data at the order level, users can gain valuable insights into the performance and quality outcomes associated with each order. This information can aid in identifying areas for improvement, optimizing production processes, and ensuring customer satisfaction
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