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 Process-Optimized Results Recording

Purpose

Process-optimized results recording is a flexible method of processing characteristics in tabular form that is suitable for simple, self-contained recording processes. In this way, you can process inspection results according to the requirements of the recording procedure and work center. There are several possibilities for processing characteristic results in tabular form on one screen. In comparison with the usual inspection results processing , process-optimized results recording allows you to:

  • Overcome limits set by operations, inspection points and inspection lots

  • Group characteristics in a flexible way for processing

In the standard system the following recording transactions are offered:

Prerequisites

Process-optimized results recording is possible for summarized characteristics.

Note Note

When processing quantitative characteristics ( Variable inspection ), the mean value is ready for input in process-optimized results recording. You enter the standard deviation in the usual results recording screen.

End of the note.

Features

You can process original values, calculated characteristics, classed results recording and manual valuation by branching to the usual results recording.

Due to a separation of user interface and internal data processing, process-optimized results recording allows you to implement new recording variants and techniques of data output on the frontend relatively easily.

Limitation

The following objects are not suitable for process-optimized results recording:

  • Partial lots in SD

  • Dependent and independent multiple samples

  • Entries which require a digital signature

Note Note

Operations that include conditional characteristics are not suitable for process-optimized results recording.

End of the note.

Process Flow

  1. You choose the appropriate transaction for processing inspection characteristics.

  2. A work list with inspection lots is generated.

  3. You select one or more inspection lots, according to your requirements.

  4. You record or edit characteristic results.

  5. When you save your data, the recorded results are saved on the data base.