Upload
arisarkar
View
216
Download
0
Embed Size (px)
Citation preview
8/3/2019 PLM Quality Analytics
1/29
Solution Management PLMSAP AG
mySAP PLMQuality Analytics
Overview
8/3/2019 PLM Quality Analytics
2/29
Definition and Scope
Key Figures for Quality Management
QM Business Content for SAP BW
Easy ReportingConclusion
8/3/2019 PLM Quality Analytics
3/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 3
Which products are
blocked mostfrequently and for what
reasons ?
Which products are
blocked mostfrequently and for what
reasons ?
Which Stakeholders Need Quality Information ?
How can I get an
overview on my
quality-related
costs ?
How can I get an
overview on my
quality-related
costs ?
What are our top 10
suppliers with regard to
product quality ?
What are our top 10
suppliers with regard to
product quality ?
How many
complaints did we
receive from
customer XY ?
How many
complaints did we
receive from
customer XY ?
Chief
Executive
Purchasing
Officer
Head of
Quality Assurance
Production
Operator
Sales
Manager
How did the critical
tolerance values
for our products
evolve over the last
year ?
8/3/2019 PLM Quality Analytics
4/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 4
What does Quality Analytics Really Mean ?
Statistical
Process
Control (SPC)
Evaluation of
quality key figures(list and graphical
display)
Results history
and
trend analysis
Certificates
for analysis &
inspectionreports
Time-related
reports
Supplier
evaluations
Work lists
Pareto Analysis
8/3/2019 PLM Quality Analytics
5/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 5
Quality Analysis on Different Levels
Ad-hoc reports
Work lists
Test report
Results history / trend analysis
Certificate
Process Control
Control charts
Supplier evaluation
Quality scores
Audit results
Key figures (KPIs) in Quality
Information System (QMIS) orSAP Business Warehouse (BW)
Analyze data from notifications
and inspection lots
Predefined queries
Early warning system
8/3/2019 PLM Quality Analytics
6/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 6
Quality Analytics with mySAP Business Intelligence
SAP Solution
mySAP PLM offers predefined business content for quality
management within the mySAP Business Intelligence. Ease of use,
flexibility and company wide availability in an open and modern
infrastructure help you to access your quality related information
when needed - anywhere and anytime.
Value Proposition
Continuous improvement and controlled product quality are essential
key factors for your business success throughout the wholecompany. This includes online evaluation of important KPIs and
performing trend analysis on critical processes enabling you to make
the right decisions at the right time.
8/3/2019 PLM Quality Analytics
7/29
Definition and Scope
Key Figures for Quality Management
QM Business Content for SAP BW
Easy ReportingConclusion
8/3/2019 PLM Quality Analytics
8/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 8
Key Figures and Characteristics
A key figure is a quantitative piece of information with or
without a unit of measurement, such as lead time or the
number of complaints. In addition to directly measurable
key figures, there are calculated ones, such as sales per
employee.
SAP Glossary
Characteristics specify the business environment, such as
customer, material, area of responsibility. They fix the key
figures on the time axis and enable their aggregation.
8/3/2019 PLM Quality Analytics
9/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 9
Elementary Key Figures
Key Figures for Productivity, Economic Viability, and Quality
No. of customers
No. of notifications No. of vendors
No. of inspections
Productivity Processing time fornotifications
Lead time for
inspection lots
Economic Viability No. of complaints Skip quota
Quality No. of notifications in time Reject quota
Classification ofKey Figures
8/3/2019 PLM Quality Analytics
10/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 10
No. of notifications
No. of problems
No. of activities
No. of causes
No. of tasks
Lead time for notification
Sample sizeQuality score
No. of completed samples
Skipped quantity
Accepted quantity
Rejected quantity
Returned quantity
Complaint quantity
Sum of defect valuations
No. of nonconformities
No. of nonconforming unitsFraction of nonconforming units
No. of lots
No. of rejections
No. of skips
No. of samples
Lead time for inspection lot
Inspected quantityVariance
Mean value
Key Figures in QM
Inspection Lots Notifications
8/3/2019 PLM Quality Analytics
11/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 11
Master Data / Attributes
Assembly
Notification
TypeOrigin
Priority
Customer
Material
Batch
Equipment
Functional Location
Code Group
Code
Customer
CountryIndustry
Region
Business Partner
Postal Code
Geo LocationPlant
CountryRegion
Postal Code
Geo Location
MaterialMaterial Group
Material TypeManufacturer
VendorCountry
Industry
Region
Business Partner
Postal Code
Geo Location
Catalog Type
Inspection LotType
Plant
Material/Batch
Storage Location
Production OrderVendor
Customer
Purch./Sales Org.Storage Condition
Functional LocationType
Asset
Equipment
TypeInventory Number
Company Code
Controlling Area
Cost Center
Acquisition Value
Material
PlantPlant Section
Maintenance Plant
Maintenance Location
Maintenance Room
Functional Location
Material
Planner Group
Master Char.
Insp. Char.
8/3/2019 PLM Quality Analytics
12/29
Definition and Scope
Key Figures for Quality Management
QM Business Content for SAP BW
Easy Reporting
Conclusion
8/3/2019 PLM Quality Analytics
13/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 13
SAP BW at a Glance
Business Explorer
Browser
Online Analytical
Processing System
(OLAP)
Online Transaction
Processing System
(OLTP)
Infocubes
Source
SystemsNotifications
& ItemsInspection
lots
R/3
Extraction
Processing
Presentation
Workbooks /
Queries
BW
8/3/2019 PLM Quality Analytics
14/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 14
BW Info Provider for Quality Management
8/3/2019 PLM Quality Analytics
15/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 15
R/3 Data Model
Notification
Partner
Item/Location
Activity
Task
Cause
Activity
TaskTask
Partner
Item,Location
Activity
Task
Cause
Activity
Cause
Activity
Task
Data Extraction
CS-Notification
Q-Notification
PM-Notification
Info Cube
NotificationsNo. of notifications
Notifications in timeNotifications outstanding
No. of tasks
T
asks outstandingTasks successfulProcessing time
DowntimeDowntime counter
Defective qty. externalDefective qty. internal
Return qty.Notification
Plant/Material
Customer
FnctnlLctn/Eq
pmnt
Assembly
Sales/Dstrbtn/Dvsn
Purchasing Org.Vendor
MasterData / AttributesCatalog types, codes and code groups, material, plant, vendor, customer,
other notification data
Notifications
Notification Items
CausesTasks
Actions Info Cubes
BW QM Business Content - Notifications
8/3/2019 PLM Quality Analytics
16/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 16
BW QM Business Content Inspection Lots
Info Cubes for Inspection Lots
MasterData / AttributesMaterial, plant, vendor, customer,
inspection lot data, stability study data
R/3 DataModel
Insp. Lot
Partner
Cause
Activity
Operation
Cause
Activity
Insp. Char.
Indv. ResultInd. Result
UD
DataExtraction
InspectionLot/Usage
Decision
Info Cube
Inspection Lots
No. of inspection lots
No. of accepted lotsNo. of rejections
No. of skips
Lot sizeActual lot sizeAccepted quantity
Rejected quantity
Skipped quantity
Quality scoreFraction nonconforming
Material/Batc
h
Plant
CustomerVendor
8/3/2019 PLM Quality Analytics
17/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 17
R/3 Data Model Data Extraction
InspectionResult
Insp. Lot
Partner
Cause
Activity
Operation
Cause
Activity
Insp. Char.
Indv. ResultIndv. Result
CauseCauseSample
InfoCube
Insptp./
Workcenter
Master Insp. Char.
Material/Batc
h
Plant
Insp. Char.
CustomerVendor
Inspection Results
No. of samplesSamples accepted
Samples rejectedSample size
Nonconforming unitsNonconformitiesFraction nonconforming
Info Cubes for Inspection Results
MasterData / AttributesMaterial, plant, vendor, customer,
inspection characteristics, inspection lot data, stability study data
BW QM Business Content Inspection Results
8/3/2019 PLM Quality Analytics
18/29
Definition and Scope
Key Figures for Quality Management
QM Business Content for SAP BW
Easy Reporting
Conclusion
8/3/2019 PLM Quality Analytics
19/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 19
Business Explorer Browser
8/3/2019 PLM Quality Analytics
20/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 20
Flexible Reporting with the Query Designer
BEx Query Designer or Web Application Designer:
Define your own reports using the stored data from BW
8/3/2019 PLM Quality Analytics
21/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 21
Flexible Reporting BEx AnalyzerorWeb Reports
Use BEx Analyzer for presentation (MS Excel) or publish
your report directly into the Inter/Intranet.
8/3/2019 PLM Quality Analytics
22/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 22
New: Stability Study Reporting
Business Content forstability studies:
Inspection results (general)
Inspection results (quantitative)
Comparison of characteristics
Trend analysis
Web reporting
Impurities C vs. F&G at 20C
0,00
5,00
10,00
15,00
20,00
25,00
30,00
3.00 6.00 9.00 12.00 18.00 24.00
Time (months)
Percent
Impurity F+G (nach Ph. Eur)
Impurity C (nach Ph. Eur)
(Available with SAP BW 3.3 andR/3 Enterprise PlugIn 2004.1)
8/3/2019 PLM Quality Analytics
23/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 23
Material Analysis Inspection lots 0QM_C11_Q001
Inspection Results Rejection Quota 0QM_C04_Q0001
Inspection Results Within Tolerance 0QM_C05_Q0001
Process capability 0QM_C05_Q0002
Vendor evaluation: Quality score 0QM_C11_Q0007
Notification analysis 0QM_C10_Q004
Tasks - Notification 0QM_C08_Q002
Activities - Notification 0QM_C07_Q002
Causes - Notification 0QM_C06_Q002
Problem Analysis Top N 0QM_C09_Q001
Ready-to-use QM Queries (Selection)
8/3/2019 PLM Quality Analytics
24/29
Definition and Scope
Key Figures for Quality Management
QM Business Content for SAP BW
Easy Reporting
Conclusion
8/3/2019 PLM Quality Analytics
25/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 25
SAP Business Warehouse - Summary
SAP BW provides a complete data warehouse solution.
The predefined Business Content for QM includes
Extractors, Info Cubes, Queries, and Workbooks for
Quality, maintenance, and service notifications
Notification items, causes, tasks, activities
Inspection lots and usage decisions
Inspection characteristics and results including cpk-
values
Stability Studies
The predefined business content can easily be adapted
and enlarged.
8/3/2019 PLM Quality Analytics
26/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 26
SAP Business Warehouse - Benefits
Excellent usability Easy-to-use
High performance Common reporting standards
Access to reports anytime, anywhere
More functions Flexible enhancement of existing
QM reports Improved availability and transparency
of information across all applications
Latest technology Web-enabled
Portal integration Reporting across several systems
and databases
8/3/2019 PLM Quality Analytics
27/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 27
SAP Success Story
mySAP PLM
We are using mySAP PLM Quality Management in the areas of
Procurement, Auditing and Capital Projects to ensure that Saudi
Aramco and International Standards are maintained. This is a
powerful tool for continuous improvement and enables us to makethe right decisions at the right time.
Carl Drechsel, QM Design Team Leader, Saudi Aramco
POWERFUL EVALUATION
OF mySAP PLM USINGQM FUNCTIONALITY
Saudi Aramco is the state-owned oil company of the Kingdom of
Saudi Arabia with over 54,000 employees.
Saudi Aramco today leads the world in crude oil production and
exports with a sustainable crude oil production capacity of 10 millionbarrels per day. In addition it is the top exporter of natural gas liquids
and it is a major natural gas producer.
Saudi Aramco is a fully integrated petroleum enterprise, with
operations in exploration, production, refining, marketing and
international shipping.
Saudi Aramco, Saudi Arabia
http://www.saudiaramco.com
8/3/2019 PLM Quality Analytics
28/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 28
Thank you for your attention !
For more information please review
http://service.sap.com/qm-> Quality Improvement -> Media Center
8/3/2019 PLM Quality Analytics
29/29
SAP AG 2004 QM Analytics Overview 2004 mySAP PLM 29
No part of this publication may be reproduced or transmitted in any form or for any purpose without the expresspermission of SAP AG. The information contained herein may be changed without prior notice.
Some software products marketed by SAP AG and its distributors contain proprietary software components of othersoftware vendors.
Microsoft, WINDOWS, NT, EXCEL, Word, PowerPoint and SQL Server are registered trademarks ofMicrosoft Corporation.
IBM, DB2, DB2 Universal Database, OS/2, Parallel Sysplex, MVS/ESA, AIX, S/390, AS/400, OS/390,OS/400, iSeries, pSeries, xSeries, zSeries, z/OS, AFP, Intelligent Miner, WebSphere, Netfinity, Tivoli, Informix andInformix Dynamic ServerTM are trademarks of IBM Corporation in USA and/or other countries.
ORACLE is a registered trademark of ORACLE Corporation.
UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group.
Citrix, the Citrix logo, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, MultiWin and otherCitrix product names referenced herein are trademarks of Citrix Systems, Inc.
HTML, DHTML, XML, XHTML are trademarks or registered trademarks of W3C, World Wide Web Consortium,Massachusetts Institute ofTechnology.
JAVA is a registered trademark of Sun Microsystems, Inc.
JAVASCRIPT is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and
implemented by Netscape.
MarketSet and Enterprise Buyer are jointly owned trademarks of SAP AG and Commerce One.
SAP, R/3, mySAP, mySAP.com, xApps, xApp, SAP NetWeaver and other SAP products and services mentioned hereinas well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and in several othercountries all over the world. All other product and service names mentioned are the trademarks of their respectivecompanies. Data contained in this document serves information purposes only. National product specifications may vary.
Copyright 2004 SAP AG. All Rights Reserved