QM Quality Management Information System
`
`The following Help Topics are available:
`
`For Help on Help, Press F1
`
`Version
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`SAP-00009779
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`

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`Version
`Prepared for R/3 Release 2.2.
`August 94
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`SAP-00009780
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`

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`Copyrights
`
`@1994 SAP AG. All rights reserved.
`Neither this documentation nor any part of it may be copied or reproduced in any form or by any
`means or translated into another language, without the prior consent of SAP AG.
`SAP AG makes no warranties or representations with respect to the content hereof and specifically
`disclaims any implied warranties of merchantability or fitness for any particular purpose. SAP AG
`assumes no responsibility for any errors that may appear in this document. The information
`contained in this document is subject to change without notice. SAP AG reserves the right to
`make any such changes without obligation to notify any person of such revision or changes. SAP
`AG makes no commitment to keep the information contained herein up to date.
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`SAP-00009781
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`Basic Structure and Concepts
`
`This section discusses the basic structure and the conceptual background of the Quality
`Management Information System (QMIS). The first topic outlines the functions of the Quality
`Management Information System. The other topics present the basic structure of the Quality
`Management Information System and describe the most important elements of the QMIS.
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`W.o.rki[log,.w[th.th.e..QMI.8..lYl.e.[lu.
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`SAP-00009782
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`Functions of the Quality Management Information System
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`The issues, functions, and even the meaning itself of quality management have under gone
`fundamental changes in the last thirty years. These changes show no signs of slowing down or
`stopping. In previous years quality management involved monitoring and controlling in orderto
`identify defects. Today the purpose of quality management is to avoid defects and to maintain a
`certain level of quality.
`Inspections are as imperative today as they have always been. However their target now is to
`provide information for quality monitoring measures in such areas as vendor selection, production,
`and product development. The computerization of the inspection process and the use of
`quality-dependent dynamic modification, which can lead to the elimination of an inspection (skip),
`enables companies to reduce or replace inspections in favor of measures to avoid defects.
`A quality management system should help a company to achieve a high level of quality for its
`products as well as a high level of productivity. Such a system should also help a company to
`reduce quality costs, and thereby the overall costs, or at least keep them to an acceptable limit. In
`addition to reducing a company’s overall costs, retaining or increasing market share is another goal
`a of quality management system.
`The Quality Management Information System provides the information you need so that you can
`continuously monitor these key goals of quality management and can react to events at the
`appropriate time. The Quality Management Information System uses the current data from the
`inspection processes and provides a number of performance measures for evaluating
`qualityrelevant processes.
`
`What is the Quality Management Information System?
`
`The Quality Management Information System (QMIS) is a flexible tool for collecting, consolidating,
`and analyzing data from inspection processes. The goal of the Quality Management Information
`System is to provide you with all relevant views of the data from the applications. You can control
`the level and depth of information to meet your needs.
`
`Two Types of Analyses
`
`The Quality Management Information System offers two types of data analysis: standard
`analysis and flexible analysis.
`
`Which Data is Analyzed?
`
`Standard analyses are based on the statistical data of QMIS (called information structures). This
`means that the important performance measures are updated immediately from the operative
`application.
`With flexible analyses you can analyze the existing SAP data structures and can carry out ad hoc
`evaluations/analyses.
`
`Planning
`
`The comparison between planning data and actual data supports decision making in quality
`management. The QMIS enables you to not only collect and consolidate the actual data, but also
`to enter the planning data.
`The QMIS can be implemented at the various decision levels as a monitoring, controlling, and
`planning instrument.
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`SAP-00009783
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`Planning
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`Monitoring
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`Quality Management
`Information System
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`SAP-00009784
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`Klnformation Structu res
`
`An important component of the information system is the special statistical files, which are called
`information structures. They provide the data on which the standard analyses are based.
`Planning is also based on these information structures.
`From the huge volume of data that results from the operative application (for example, making a
`usage decision), the system updates the most important data to the information structures.
`An information structure defines a collection of data that is used for the reduction and subsequent
`analysis of data from inspection processing activities.
`Two information structures are delivered with the SAP System. These two structures provide the
`meaningful performance measures for all analyses in the quality management area.
`To create and maintain your own information structures, use the Customizing application. The
`Customizing application enables you to adapt the QMIS to meet the needs of your company. For
`additional information about this topic, refer to T‘-h.-e...-.Q-..‘-.M.-.‘[-.-S.-~.as.~a.~nen-t.~f~...t-.-.-h.-e...-L.-.!‘-.S-.-~
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`What is an Information Structure?
`
`An information structure is comprised of three types of data:
`¯ objects
`¯ performance measures
`¯ time units
`The following figure provides an example of an information structure.
`
`Objects
`
`Time unitQ Performance
`
`Measures
`
`Plant
`
`Vendor
`
`Material Wee k
`
`Total
`lots
`
`Rejected
`lots
`
`Average
`quality
`score
`
`Lead
`time
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`Objects
`
`Objects are data that are suitable for reduction, such as plants, vendors, and materials. Each
`object can have one or more object values. For example, the object "vendor" can have the
`following object values:
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`¯ Johnson and Sons
`¯ Pacific Coast Shipping
`In this example, the object value is the name of the vendor.
`
`Performance Measures
`
`Performance measures are values that are of particular relevance for quality management, such as
`total number of inspection lots, average quality score, number of rejected lots, inspection time,
`inspection rate, and skip rate.
`Performance measures contain data that is read from the data base, while the objects represent
`the keys to the data.
`Each performance measure can have one or more values.
`Example:
`The material Bolt-04 has a quality score of 98.5 for the month of May.
`
`Time Units
`
`A time unit can be assigned to each information structure. The values of the performance
`measures in an information structure are cumulated for each object in an information structure.
`The possible time units are a day, a week, and a month.
`
`Standard Information Structures
`
`The two information structures that are provided with the standard R/3 System contain thematically
`grouped performance measures that are suitable for all relevant analyses in the area of inspection
`processing. You can also access performance measures that are calculated at the time of the
`analysis (for example the average or standard deviation for the quality score, the skip rate, or the
`inspection rate). You can access over forty different performance measures.
`Two information structures are delivered with the standard QMIS:
`¯ vendor (S068)
`Provides the basis for the vendor analysis
`¯ material (S069)
`Provides the basis for the material analysis
`Note
`For a complete list of all the objects and performance measures in the standard information
`structures, refer to ~s~tr~u~c~tu~r~e~f~tb~e~n~f~r~m~a~ti~n~s~t~u~u~
`
`Updating Statistical Data
`
`Statistical data can be updated in one of two ways:
`¯ updating is started immediately
`¯ updating is delayed
`For each information structure you can define the type of update (immediate start or delayed start)
`and the time unit in which the statistical data is cumulated (daily, weekly, or monthly). You define
`these values in the Customizing menu for Logistics Controlling.
`To monitor the update process, you can get information about the process from the update log. A
`detailed update log is created on a user basis for the most recent activity/operation that is impacted
`by the update of the statistics. You can access the update log from the Customizing menu for
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`SAP-00009786
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`Logistics Controlling.
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`SAP-00009787
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`Standard Analysis
`
`Standard analyses offer extensive possibilities for analyzing data. Within the standard analyses,
`numerous functions enable you to target specific data.
`The information structures form the data basis for the standard analyses. In the standard R/3
`System you can perform standard analyses for:
`¯ vendors
`¯ materials
`For each standard analysis you can specify the scope of the data to be analyzed by using various
`selection options. You can either predefine or interactively choose the performance measures that
`you want to analyze.
`
`Functions for the Analysis
`
`A drill-down function allows you to vary the depth of the information displayed (see the following
`figure). You can specify the sequence in which the levels of information are displayed or you can
`follow the predefined analysis path, known as a standard drilldown sequence.
`At each level of the analysis you can use a wide range of functions to perform different types of
`analyses, including totals curve, ABC analysis, correlation, classification, dual classification,
`and rankings. All results can be displayed in the form of graphics.
`You can also display the following detailed information:
`¯ master data for vendor and material
`¯ data for an inspection lot
`¯
`class limits that are used in QMIS for quality score classes
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`SAP-00009788
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`I Vendor
`I Avg. Q-Score I No. of
`I
`\1
`I lots
`Drill- "q
`I
`I 96
`down hv Johnson I
`I 121 Pc
`I
`~-i~"r&iA ~d s°~ J
`
`Additional X
`
`,n,o r.o,,oo \
`
`¯ Material master ’~
`
`¯ Vendor master f Ivendor: Johnsonand Sons
`....
`J
`IMatenal
`IAvg. Q-Score I No. of
`. ,nsp. ,o[s
`Lots
`/
`ir
`
`I
`I ~P°
`I Drill- "~lBolt
`,1 0~
`I 3g Pc
`Idowo b,,. Whee.
`,I ~
`I perl °d~’i~~~ji~
`
`Vendor: Johnson and Sons
`Material: Wheel
`Month
`Avg.
`
`No.
`
`I Q-Score
`02/1994 I z4
`
`ILots
`I lsPo
`
`Functions
`¯ ABO analysis
`I Classification
`¯ Dual classification
`I Totals curve
`¯ Correlation
`¯ Performance
`measures comparison
`¯ Previous year oomp.
`¯ Planned/actual oomp.
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`SAP-00009789
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`Flexible Analysis
`
`With flexible analyses you can tailor the way performance measures are combined and reduced.
`In this way you can provide different levels of information: detailed information for a staff member,
`such as the head of the laboratory; and summarized information for management level employees,
`such as the QA manager.
`Flexible analyses provide an easy access to the Report Writer, a user-friendly tool with which you
`can create reports for various analyses. The Report Writer is integrated with other SAP
`applications, such as Extended General Ledger and Cost Center Accounting.
`Evaluation structures provide the interface to the Report Writer. Objects and performance
`measures comprise the evaluation structures. It is easy to select and collect objects and
`performance measures to build an evaluation structure.
`For each information structure there is also an evaluation structure. If you define your own
`information structure in the Customizing application, the system automatically generates an
`evaluation structure with the same name. In this way you can use flexible analyses for all
`information structures.
`
`Evaluations
`
`You can create an evaluation on the basis of the evaluation structure. To define an evaluation,
`you select the desired objects and performance measures by using a simple pick-up technique.
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`SAP-00009790
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`Objects
`
`Vendor
`Material
`Month
`
`Performance
`Measures
`
`Total quantity
`Rejected quantity
`
`March 1994
`Total
`quantity
`
`Rejected
`quantity
`
`April 1994
`Total
`Rejected
`quantity
`quantity
`
`Total
`
`200 Pc
`
`Johnson and Sons 90 Pc
`Bolt
`40 Pc
`Wheel
`50 Pc
`
`Keller & Co
`Brake Shoe
`Bolt
`
`110 Pc
`60 Pc
`50 Pc
`
`17 Pc
`7 Pc
`0 Pc
`7 Pc
`
`10 Pc
`0 Pc
`10 Pc
`
`240 Pc
`100 Pc
`40 Pc
`60 Pc
`
`140 Pc
`75 Pc
`65 Pc
`
`20 Pc
`5 Pc
`0 Pc
`5 Pc
`
`15 Pc
`5 Pc
`10 Pc
`
`It is also very easy to define the layout of a report to suit your needs. For a report you can define
`additional performance measures whose contents are derived from applying arithmetic formulas to
`existing performance measures. For example, you can multiply several performance measures or
`divide one performance measure by another. You can also display the data as a graphic.
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`SAP-00009791
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`Planning Data
`
`With the Quality Management Information System you can not only analyze the current data, but
`you can also enter planning data. Planning data is then used for the "planned vs. actual
`comparison", which is an additional step within the framework of the standard analyses.
`In the QMIS, planning is based on information structures. This means that planning can take place
`with the standard information structures and with the information structures that you create in the
`Customizing application.
`
`Entering Planning Data
`
`There are two ways you can enter planning data:
`¯ Manually enter planning data (numbers, values, scores) that is based on your own estimates
`and experience.
`¯ Use the functionality of forecast models to generate planning data from actual data that was
`previously collected.
`
`Entering Data Manually
`
`You enter the planning data manually in an easy-to-use planning table. You can use distribution
`functions to simplify the data entry. For example, you can distribute the value 100 evenly to all
`periods; you can add or subtract the value 150 from all periods.
`
`Getting Data From Forecasts
`
`To automatically derive planning data you can use various forecast models, such as trend models
`or constant models. You can select a specific model or you can let the system decide which
`model is the most appropriate one, based on the pattern of the underlying historical data.
`
`Planning Views
`
`Within planning you can change the view of the objects being planned. You can enter the planning
`data over several periods for several performance measures related to a single material. Or you
`can enter the planning data over several periods for only one performance measure but for several
`materials.
`
`Planning Versions
`
`To take into account the various planning approaches, you can create several different versions of
`the planning data such as:
`¯
`specifications for the planning data from management
`¯ estimates from colleagues
`¯ different forecast versions
`¯ planning at different aggregation levels
`
`Interactive Graphics
`
`In addition to the purely numeric presentation of planning data, you can also present the data as a
`graphic. You can interactively generate and manipulate this graphical presentation. For example,
`you can use the mouse to change the planning data in the graphic and then copy the data into the
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`SAP-00009792
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`planning table.
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`SAP-00009793
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`The QMIS as a Component of the LIS
`
`The Quality Management Information System is a component of the Logistics Information System
`(LIS), as are other information systems such as the Sales/Distribution Information System, the
`Production Information System, and the Inventory Management Information System. In addition to
`these information systems, the LIS contains the logistics information library (LIB) and a statistical
`data base.
`
`Logistics Information Library
`
`The Logistics Information Library (LIB) uses a simple search strategies to provide access to the
`performance measures in the LIS and across the entire Logistics area. The LIB enables you to
`enter and catalog performance measures.
`For detailed information about this topic, refer to PP - Logistics Information Library.
`
`Statistical Data Base
`
`To modify the QMIS to meet your needs, you can use the statistical data base. The statistical data
`base enables you to combine information structures according to your requirements and to define
`the rules for updating the data. You can use the complete range of functions in the QMIS for these
`userdefined information structures. You can use the standard analyses and the flexible analyses
`to evaluate the information structures that you have defined and then you can perform the planning.
`The statistical data base is defined in the Customizing application for Logistics Controlling. To
`access the complete functionality of the statistical data base, select the menu option Data
`collections. For additional information about this topic, refer to the implementation guide in the
`Customizing application.
`To access the implementation guide for the statistical data base:
`
`1. From the R/3 System menu select Tools --> Customizing --> Implementation guide --> Complete
`version
`The system displays a list of all available implementation guides.
`Select Logistics Controlling
`The system displays a list of all modules for the Logistics Controlling guide.
`3. Select the module Data collection
`
`.
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`SAP-00009794
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`Working with the QMIS Menu
`
`Accessing the QMIS Menu
`
`There are two ways to access the menu for the Quality Management Information System from the
`SAP R/3 main menu:
`¯
`from Logistics Controlling
`
`Select Logistics -~ Logist. controlling --~ QM info system
`from the Quality Management system
`
`¯
`
`Select Logistics -~ Quality management -~ Information system
`The menu of the Quality Management Information System is divided into the following menus.
`
`Standard Analyses
`
`To perform and display standard analyses and access user-specific settings, select the menu
`option Standard analyses.
`
`Flexible Analyses
`
`To create and edit evaluation structures and to define and perform evaluations, select the menu
`option Flexible analyses.
`
`Planning
`
`To maintain planning data, select the menu option Planning.
`
`Info Library
`
`The Logistics Information Library is used to enter, classify, and retrieve performance measures for
`the Logistics area. For detailed information about this topic, refer to PP - Logistics Information
`Library.
`
`Environment
`
`To access information for quality management, select the menu option Environment. From this
`menu option you can display master data for a material, a vendor, a quality information record, the
`quality level, and the inspection plan. Furthermore you can access the document information for
`an inspection lot, inspection results, and the usage decision. You can also display analyses for
`inspection lots (time line for the quality score) and inspection results.
`From the QMIS menu you can branch to the most important functions of the Quality Management
`(QM) system. For detailed information about the data and functions in the QM system, refer to the
`QM - Inspection Planning Guide and the QM - Inspection Process Guide.
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`SAP-00009795
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`Updating Statistical Data
`
`The analysis of data in the Quality Management Information System (QMIS) is based on statistical
`data that has been written to and updated in the information structures for inspection processing.
`The following topic describes when and how the data is updated.
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`SAP-00009796
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`When and How Are Statistics Updated?
`
`When is Data Updated?
`
`Statistical data from inspection processes is updated in the QMIS when you make a usage
`decision. Each time you change the usage decision record, for example when you post stock, the
`data is updated automatically.
`Starting with Release 2.2, data from the inspection lot and from the usage decision are reduced to
`performance measures. A link from additional transaction data, such as results for inspection
`characteristics, is planned for a later release.
`..S..t.r.u.c..tu.r.e...o..f..the..].o.[o.r..m...a..tj.o...n...S![~.Qt~.[e.~. contains a detailed description of which data is reduced for
`which performance measures in the information structures.
`
`Types of Updating
`
`There are several different ways that statistical data can be updated in the Quality Management
`Information System:
`¯ updating is started immediately (synchronous)
`¯ updating is delayed (asynchronous)
`¯ no updating
`To define the type of updating for the information structures, use the Logistics Controlling menu in
`the Customizing application.
`
`Time Interval
`
`You can define the interval (unit of time) for which the statistical data is cumulated. For the vendor
`and material information structures (S068 and S069), the standard time unit is a month.
`The assignment of inspection lots to the time period of the information structure is based on the
`creation date of the lot.
`
`How are Quantities Posted?
`
`Quantities are posted in the base unit of measure. The base unit of measure is the unit of
`measure in which the system manages the stocks of material. It is defined in the material master
`record.
`
`What Factors Influence the Updating of Information Structures?
`
`In addition to the type of updating (immediate or delayed) and the time interval in which the values
`are cumulated, there are other options for filtering and varying how the data from the inspection
`processes is updated.
`¯ using classes for quality scores
`¯ assigning quality score classes to an information structure
`¯ assigning an inspection lot origin to an update group
`
`Using Classes for Quality Scores
`
`Inspection lots are valuated according to the quality score and the usage decision. Generally an
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`SAP-00009797
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`

`
`analysis of quality scores over a specific time period is based on classed values. For this reason
`you can reduce classed quality scores.
`To define quality score classes that meet your specific requirements, access the Customizing
`application of the Quality Management system. You can define up to five quality score classes.
`
`Assigning Quality Score Classes to an Information Structure
`
`You can assign quality score classes that you have defined (see previous topic) to the information
`structures used in the QMIS. To do so, access the Customizing application of the Quality
`Management system.
`
`Assigning an Inspection Lot Origin to an Update Group
`
`For inspection processing, inspection lots are differentiated by inspection lot origin. Depending
`on the inspection lot origin, you can determine whether an inspection lot was created during
`production or at goods receipt. Primarily because the inspection lot origin works in conjunction
`with various performance measures, the inspection lot origin must be integrated with the control of
`the update process.
`This integration is carried out by the assignment of the inspection lot origin to an update group. If no
`assignment is made, no data is updated in the QMIS for the inspection lot origin.
`To assign an inspection lot origin to an update group, access the Customizing application of the
`Quality Management system. In the standard SAP System the appropriate update groups are
`already defined for all the inspection lot origins that will be used in the QM system.
`The update group determines which information structures will be updated. The following
`standard update groups are available:
`reduction for vendor analysis
`¯ 00020:
`¯ 00021:
`reduction for material analysis
`¯ 00022:
`reduction for vendor and material analysis
`Example:
`If you have assigned an inspection lot origin to the update group 20, the data from the inspection lot
`and the usage decision will be reduced in the information structure for the vendor analysis.
`
`Update Log
`
`To monitor the update process, you can record the update activities in an update log. This log,
`which can be created for each user, shows how the data from inspection processes is updated in
`the information structures.
`Note
`The update log contains only the most recent activity in the inspection process. The old entries in
`the update log are overwritten as soon as a new activity is recorded.
`To indicate that an update log should be generated for a user, enter an X for the parameter
`identification MCL in the user master record.
`Warning
`The generation of an update log increases the system load. Therefore you should deactivate the
`parameter identification MCL in the user master (by deleting the X) after you have checked the
`results in the update log.
`To access the update log, select the menu option Data collection from the Logistics Controlling
`menu in the Customizing application.
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`SAP-00009798
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`Standard Analyses
`
`This section describes the standard analyses in the Quality Management Information System
`(QMIS). Like the flexible analyses, standard analyses are a form of data evaluation. Standard
`analyses offer a variety of functions and selection criteria that allow you to define the scope of the
`data analysis.
`In this section you will learn how to:
`¯ perform a standard analysis
`¯ process results lists by using standard system functions
`¯ modify results lists by changing user-specific settings
`
`....................... i ....................................
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`P..r.e.yJ.o.u.s...Y..ear].C u rr.e n.t ...Y..ear...C ~ mpa d~on
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`SAP-00009799
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`General Information
`
`Standard analyses are based on inspection processing data that is updated in the information
`structures (see S:c~u.ctu.r.e..of.~be..!.of~rrn~t].o.o..Str.u~t.u~e.s )
`The data for the standard analyses in the QMIS comes from the inspection processing data that is
`updated in the information structures and from the planning data that was entered in an information
`structure.
`
`Inspection lots
`¯
`¯ Usage decision
`
`l
`
`Updating l
`
`~ annlng dal~ 1
`
`Information Structures
`
`I
`
`You can carry out standard analyses on the following criteria:
`material
`You use this analysis if you want to access statistical data that is directly related to a material.
`Use this criterion to run an analysis that could answer the question: "Which materials have a
`low quality score?"
`vendor
`A vendor analysis makes sense when you want to access data that is directly related to a
`vendor. Use this criterion to run an analysis that could answer the question: "Which vendors
`have a large number of rejected inspection lots?"
`An array of functions and settings allow you to vary both the scope of the analysis and the level of
`detail of the information.
`You can view the following types of lists in a standard analysis:
`
`SAP-00009800
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`
`basic list
`Depending on the previously chosen selection criteria, the basic list provides an overview of the
`object values for the performance measures. The object value for the vendor analysis is the
`vendor; for the material analysis the object value is the material.
`drill-down list
`The drill-down list provides detailed data for a particular object value (for example, the vendor
`"Johnson and Sons") in relation to another object (for example, material or period).
`
`~[Basio list
`
`¯ Master data /
`
`.,~rill-down list
`
`~Drill-down list
`
`Functions
`¯ ABC analysis
`¯ Classification
`¯ Dual Classification
`¯ Totals curve
`¯Correlation
`¯ Performance
`measures comparison
`¯ Previous year comp.
`¯ Planned/actual cornp.
`
`From all drill-down levels you can access an array of additional functions.
`¯ ABC analysis
`¯
`classification
`¯ dual classification
`¯ totals curve
`¯
`correlation
`¯
`ranking list
`¯
`comparisons: planned/actual, previous year/current year, two performance measures
`All these results can be presented graphically.
`You can also access the following detailed information:
`¯ master data for vendor and material
`¯
`inspection lot
`
`SAP-00009801
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`

`
`Performing Standard Analyses
`
`This section explains how to create a standard analyses and how to define the scope of the data
`shown in the list display. You follow the same procedure for both standard analyses (vendor or
`material).
`To
`perform a standard analysis:
`1.
`From the Quality Management Information System (QMIS) menu select
`
`Standard analyses --> Vendor OR Material --> New selection
`The selection screen for the desired analysis is displayed.
`2. To influence the scope of the data to be analyzed, specify selection criteria. These are:
`¯ objects
`The objects that are listed as selection criteria come from the information structure on which the
`selected analysis is based. (For more information about this topic, refer to Appendix A.)
`¯ period to analyze
`The period to analyze (day, week, month) refers the time period for which the data is updated in
`the appropriate information structure. The standard period to analyze for QMIS is a month.
`3. To start the analysis, select Execute.
`The basic list is displayed.
`The first column of the basic list contains all the object values that correspond to the specified
`selection criteria. The next six columns contain the values of the performance measures for
`these object values. In the standard QMIS, six performance measures and the corresponding
`units of measure are shown in the basic list.
`Note
`To define the standard settings of the performance measures for each user, access the Logistics
`Controlling Configuration menu in the Customizing application.
`
`Saving a Selection Version
`
`You can save the data selected for a standard analysis under a version name so that you can use it
`for subsequent analyses. This is called a selection version. For information about displaying a
`selection version, refer to D.i.s~..Stan.~l.a.r.qJ..,~.na!ys.e~
`To save a selection version:
`1. From either a basic list or a drill-down list for an analysis (vendor or material), select either
`
`Vendor analyses --> Save OR Material analyses -~ Save
`A window is displayed.
`2. In the Version field, enter a name by which you want to store the standard analysis data.
`In the Version description field, enter a short explanatory description of the selection version.
`3. To save the selection version, select pushbutton Save.
`The selected data is stored under the version name that you entered in step 2.
`
`Deleting a Selection Version
`
`You can delete the standard analysis data that is stored under a selection version on the basis of a
`
`SAP-00009802
`
`

`
`user or on the basis of the corresponding analysis form.
`To delete a selection version:
`1. From either a basic list or a drill-down list, select either
`Vendor analyses --> Delete OR Material analyses -~ Delete
`A window is displayed.
`2. In the Version field enter the name of the selection version that you want to delete and select
`the pushbutton Delete.
`
`Selecting Data in the Background
`
`You can run a standard analysis for the QMIS as a background process. This is useful if the
`analysis involves a large amount of data. The data selected for the background processing of a
`standard analysis is saved as a selection version and can then be displayed as such.
`
`What To Do
`
`Vendor
`
`To perform the data selection as a background process:
`1. From the menu of the QMIS, select Standard analyses --> Material analyses OR
`analyses --~ New selection
`The selection screen of the specified analysis is displayed.
`2. Enter the desired selection criteria and then select Material analyses OR Vendor
`analyses --~ Exec. in background
`The background process starts immediately and the selected data is stored under the selection
`version name BATCH.
`3. To display the data from the background process, follow the procedure described in
`..s..t.a.n..d..a.r.d...A....n.a.!.y..s..e.s..
`Note
`To check the status of the background process:
`1. From the R/3 System menu select
`System -~ Services --> Background jobs -~ Job overview
`The selection screen is displayed.
`2. Select Execute
`The system displays a list containing the background jobs you
`started and the status of each job, such as planned, released, or finished).
`
`SAP-00009803
`
`

`
`Downloading Data
`
`You can copy the data for a standard analysis to a local file. If you start this function on a PC, you
`can specify a directory of the PC (diskette or hard drive). If you start this function from a work
`station, the file is written to the current Unix directory.
`
`What To Do
`
`To copy the selected data of a standard analysis to a local file:
`1.
`From either the basic list or the drill-down list select Vendor analyses
`analyses --> Export --~ Download
`A window is displayed.
`In the File name field enter the name of the file (and the directory path, if required) in which you
`want the data to be stored.
`In the Data format field, enter the format in which the data should be saved. Enter one of the
`following formats:
`
`OR Material
`
`.
`
`- ASC (ASCII)
`
`- BIN (binary)
`
`- DAT (ASCII data table with column tabs)
`
`- DBF (DBASE format)
`
`- WK1 (spreadsheet format)
`Select the pushbutton Send.
`The selected data of the standard analysis is saved in the local file under t