7.4    Quality Planning

Quality planning helps users maintain master data to plan quality inspections. The quality planning component allows users to do the following:

7.4.1    Master Data

Following are the key master data elements:

7.4.2    Inspection Methods

Inspection methods provide details of how to carry out an inspection for an inspection characteristic. Inspection methods are created at the plant level and are assigned to Master Inspection Characteristics (MIC) or inspection plans to describe the inspection procedure.

Users can following these steps to create an inspection method:

  1. Navigate to LogisticsQuality ManagementQuality PlanningBasic DataInspection MethodCreate (QS31).
  2. On the initial screen (see Figure 7.1), enter the following data:
    • Plant
      Number of the plant.
    • Insp. Method
      Name of inspection method.
    • Valid From
      Date from which the inspection is valid.
    • Reference
      Optional reference data, including Plant, Inspection Method, Key date, and Version.
Inspection Method

Figure 7.1    Inspection Method

The following section of the screen provides details of the inspection method data elements such as inspection method number, description of inspection method, and inspector qualifications (see Figure 7.2). You can also use info fields to save additional details about the inspection method.

Inspection Menu, Continued

Figure 7.2    Inspection Menu, Continued

SAP S/4HANA allows you to attach documents such as diagrams in a Microsoft Word document format by using the Document Management System (DMS).

Save your data by clicking Save.

7.4.3    Master Inspection Characteristics

MIC describes the inspection criteria for materials, parts, and products. You can create MIC at the plant level. The MIC can be qualitative (attributive characteristics such as color, taste, visual inspection, etc.) or quantitative (for which values can be measured such as length, weight, etc.).

MIC contain general and control data. General data involves the name of characteristics and the name of the plant for which that MIC is applicable. In MIC, the following control data can be defined:

Master Inspection Characteristics Models

There are three types of models available in MIC:

7.4.4    Qualitative Master Inspection Characteristics

The example described in the following subsections provides details of the data parameters maintained for quantitative MIC. The General Data Section of Master Inspection Characteristics can be found by navigating to LogisticsQuality ManagementQuality PlanningBasic DataInspection CharacteristicCreate (QS21), or Transaction QS21.

In the General Data screen, you can maintain the following information (see Figure 7.3):

In the General Data screen, you can also enter additional text information in Info Field 1/2/3 and the Specification Determination Rule, as shown in Figure 7.4.

General Data Screen

Figure 7.3    General Data Screen

General Data Screen Info Fields

Figure 7.4    General Data Screen Info Fields

Control Indicator Section

In this section of the screen, you can maintain the following indicators (see Figure 7.5):

Edit Characteristic Control Indicators

Figure 7.5    Edit Characteristic Control Indicators

Following are some additional control indicators you can maintain (see Figure 7.6):

You can maintain tolerance key values relevant for MIC, as displayed in Figure 7.7.

Additional Editable Characteristic Control Indicators

Figure 7.6    Additional Editable Characteristic Control Indicators

Maintaining the Tolerance Key

Figure 7.7    Maintaining the Tolerance Key

You can maintain quantitative data such as upper limit/lower limit values for MIC, unit of measure, and upper/lower plausible limits based on predefined control indicators, as shown in Figure 7.8.

Maintaining Limits

Figure 7.8    Maintaining Limits

7.4.5    Catalog

The catalog contains unique, nonnumerical data that is used to define, manage, and standardize information such as inspection parameters, defects, and decisions for the inspections. This data can help to record and subsequently evaluate qualitative data, as well as describe problems.

Catalog Types

Table 7.1 lists the standard catalog types available in SAP S/4HANA for QM.

Catalog Description Application
1 Characteristic attributes For qualitative characteristics
2 Tasks For notifications
3 Usage decisions For giving usage decisions
5 Causes For notifications
8 Activities(QM) For notifications
9 Defect types For notifications
E Defect locations For notifications

Table 7.1    Standard Catalog Types in QM

7.4.6    Code Group

Code groups are used to combine and structure codes within a catalog type. You can use code groups at the client level to group codes that have the same content or relate to one another within a catalog type. Codes that are assigned to a code group are also known as group codes. You can group together codes for different colors (see Table 7.2), surface characteristics, or usage options.

Code Group Overview of Codes
Color Red
Brown
Blue

Table 7.2    Code Group Example

Codes describe qualitative contents in machine form that can be easily processed. Codes make up the lowest level of a catalog and can describe, for example, a characteristic attribute, a defect type, a defect location, or a usage decision. The code is distinctive in conjunction with the catalog and code group.

Figure 7.9 displays how code group COLOR is assigned to the characteristics attribute catalog with various codes such as Red, Brown, Light red, and so on. To get there, navigate to LogisticsQuality ManagementQuality PlanningBasic DataCatalogCode GroupEdit (QS41), or Transaction QS41.

Catalog Types with Code Group and Codes

Figure 7.9    Catalog Types with Code Group and Codes

7.4.7    Selected Sets

A selected set contains a combination of different catalog codes, for example, coded descriptions of characteristic attributes (e.g., color, shape, and surface characteristics), defect causes, or usage decisions from different code groups. Selected sets are maintained only for catalog types 1 and 3. The following example is displayed for a selected set (usage decision).

As shown in Figure 7.10, you can define selected sets for each plant and assign a code group and codes with valuation decision (Accepted/Rejected), quality scores, and suggested stock posting. Navigate to LogisticsQuality ManagementQuality PlanningBasic DataCatalogSelected SetEdit (QS51), or Transaction QS51.

Selected Sets

Figure 7.10    Selected Sets

7.4.8    Sampling Scheme

A sampling scheme is the group of sampling plans that provides information about the sample sizes and criteria used to valuate the results in the sampling inspection. Navigate to LogisticsQuality ManagementQuality PlanningBasic DataSampleSampling Scheme Create (QDP1), or Transaction QDP1. As shown in Figure 7.11, you can define a sampling scheme based on the following valuation parameters:

Sampling Scheme

Figure 7.11    Sampling Scheme

In sampling schemes, users can define sampling tables to calculate the sample size either based on inspection severity (Insp. severities) or based on the Severity/AQL (acceptance quality level) combination.

Figure 7.12 shows the lot size details and reduced inspection details with acceptance and rejection numbers.

Sampling Scheme Lot Size and Inspection Details

Figure 7.12    Sampling Scheme Lot Size and Inspection Details

7.4.9    Sampling Procedure

A sampling procedure defines the rules that specify how the system calculates the sample size, and it contains information about the valuation of an inspection characteristic during results recording (e.g., attributive, variable, manual, etc.). Navigate to LogisticsQuality ManagementQuality PlanningBasic Data and then SampleSampling ProcedureCreate (QDV1), or Transaction QDV1.

In the sampling procedure, you can define the following key parameters (see Figure 7.13):

Sampling Procedure

Figure 7.13    Sampling Procedure

Lot size (Determination Rule) can be maintained in the screen shown in Figure 7.14.

Sampling Procedure Special Conditions

Figure 7.14    Sampling Procedure Special Conditions