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PSLine2000Documentation/Queries/Query13.md

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Query13

Analysis generated on: 4/2/2025 10:08:58 AM

SQL Statement

SELECT Max(Process.PartNumber) AS MaxOfPartNumber, Process.CutType, Process.GrainDir, Process.FirstDim, Process.SecDim, Process.PartsPerBlank, Process.PartsPerSheet, Process.BlocksPerSheet, Process.MetalType
FROM Process
GROUP BY Process.CutType, Process.GrainDir, Process.FirstDim, Process.SecDim, Process.PartsPerBlank, Process.PartsPerSheet, Process.BlocksPerSheet, Process.MetalType;

Dependencies

Parameters

  • None

What it does

SQL Query Description

Overview

This SQL query retrieves a set of aggregated values from the Process table, grouping data by various columns and calculating the maximum value for one column.

Details

SELECT Clause

The query selects specific columns from the Process table:

  • MaxOfPartNumber: The maximum part number.
  • CutType, GrainDir, FirstDim, SecDim, PartsPerBlank, PartsPerSheet, BlocksPerSheet, and MetalType: Various process-related values.

GROUP BY Clause

The query groups the data by the following columns:

  • CutType
  • GrainDir
  • FirstDim
  • SecDim
  • PartsPerBlank
  • PartsPerSheet
  • BlocksPerSheet
  • MetalType

This means that the selected values will be aggregated separately for each unique combination of these columns.

Description of Result

The query returns a result set with the following structure:

Column Name Data Type Description
MaxOfPartNumber integer The maximum part number corresponding to each group.
CutType string The cut type for each group.
GrainDir string The grain direction for each group.
FirstDim decimal The first dimension value for each group.
SecDim decimal The second dimension value for each group.
PartsPerBlank integer The number of parts per blank for each group.
PartsPerSheet integer The number of parts per sheet for each group.
BlocksPerSheet integer The number of blocks per sheet for each group.
MetalType string The metal type for each group.

This result set shows the maximum part number and other relevant process values for each unique combination of the specified columns.

Example Use Case

This query can be used to analyze production data, identify trends, and optimize manufacturing processes by grouping similar operations together and calculating key performance indicators (KPIs) such as the maximum part number per cut type or grain direction.