apo . ppds_41_e
TRANSCRIPT
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Production Planning /Detailed Scheduling
News in SAP APO 4.1
BSG Manufacturing IndustriesSAP AG
February 2005
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Agenda
Master Data and Integration- Master Data Strategy- Integration Enhancements- Harmonization of Classification
Systems
New/Improved Planning Processes- Fixed Pegging
- Bucket-oriented CTP- Scheduling Enhancements- Project Manufacturing- Planning with Safety Stock
Usability Improvements
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R/3(Core or DIMP)
Production Process Master Data in APO 4.0
APO 4.0PPM
iPPE
CIF
Bill of Material,Routing, Recipe
PP/DSDP
SNP CTM
iPPE
MMP
Seq
RPM
Recipe
A new master data layer for PP/DS processes ...
The Runtime Object (RTO) as technical step ...
Routing
RTO(Runtime Object)
DIMP1) only:
1) DIMP = Discrete Industries and Mill Products Industry Solution
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Production Process Master Data in APO 4.1
… and further enhanced in 4.1 for all planning applications!
… completed finally by the Production Data Engine (PDE) as unifiedmaster data provider.
R/3(Core or DIMP)
APO 4.1PPM
iPPE
CIF
Bill of Material,Routing, Recipe
PP/DSDP
SNP CTM
iPPE
MMP
Seq
RPM
Recipe
Routing
PDE(Production Data Engine)
DIMP1) only:
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Master data from either R/3 (1) or iPPE (APO) (3) is transferred to the Production Data Engine (PDE)
In combination with a DIMP system it is also possible to transfer master data from iPPE (R/3 DIMP) toiPPE (APO) (2) and then to PDE (3). A direct connection between iPPE (DIMP) and PDE does not existFor APO stand-alone installations, master data can be maintained in APO with iPPE.
The PDE offers basic services like reading, generation & time stamps
The master data is stored in specific Production Data Structures (PDS) (4). The structure and contentis optimized for the planning applications (DP, SNP etc.)
The planning applications read the PDS data to perform the planning (5)
APO
iPPE
CIFR/3(core or DIMP 1))
Production Data Structures + Planning Applications
PDE(Production Data Engine)
Bill of Material,Routing, Recipe,Line
Applications
PP/DS
DPSNP
CTM
...
DIMP only:
iPPE
1
5
3
2
Production Data StructureProduction Data Structure
Production Data Structure
4
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Production Data Structures - Status 4.1
BOM, routing and recipe can be transferred via CIFto create Production Data Structures (PDS)
Available for all planning modules (DP, SNP, CTM, PP/DS)
Many restrictions of 4.0 are lifted (CDP, Block Planning …)
No change of PDS in APO
New PDS display transactionAPO stand-alone: Data Maintenance via iPPE
(Workbench Professional or Workbench Express )
PDS are the Standard Solution as of APO 4.1PDS are the Standard Solution as of APO 4.1PDS are the Standard Solution as of APO 4.1PDS are the Standard Solution as of APO 4.1
How about the PPM?How about the PPM?How about the PPM?How about the PPM?
The PPM is continuously supported!
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Integration to Plant Maintenance (PM)
R/3 PM Maintenance Order integration to APO 4.1Creation, scheduling and capacity planning in R/3Transfer of maintenance order (with activities, material
requirements, relations, maintained resources) from R/3 to APOnew order type ‘Maintenance Order’ in APO
Set production downtime on maintained resources in APOVisualization of maintenance order in PP/DS
Planning and scheduling of maintenance order materialrequirements
Maintenance orders cannot be changed in APO
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Integration of Order BOM and Order Routing
Multi-level configuration inOrder BOM
Edit/Add/Deletecomponents in Order BOM
Copy Order BOM fromexisting Material BOM /Order BOM
Copy Order Routing fromexisting Material Routing /Order Routing
Engineer and insert newassemblies for specificcustomer order
PM-1000
Dynamic BOM
Op. 10
Op. 20
Op. 30
Dynamic Routing
PM-1000
Order BOM
Op. 10
Op. 20
Op. 30
Order Routing
Material PM-1000 Material PM-1000
Material PM-1000Order 8200 Item 10
Material PM-1000Order 8200 Item 10
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Harmonization of Classification Systems
VC Configuration and CDP can be used in one clientDecision for VC Configuration or CDP can be done per product,upon integration of product from R/3
By explicit setting upon activation of integration model in R/3
By defaults from APO customizingSetting for exclusive usage of VC Configuration or CDP in one APOclient is still availableMixed scenario must be activated in customizing
Block Planning independent of setting for configuration systemPDS explosion with block planning also with VC ConfigurationBlock Planning still uses a resource classification of class type 400.If CDP is not active: Classes are manually created in APO(usually with characteristics transferred from R/3)
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Agenda
Master Data and Integration- Master Data Strategy- Integration Enhancements- Harmonization of Classification
Systems
New/Improved Planning Processes- Fixed Pegging
- Bucket-oriented CTP- Scheduling Enhancements- Project Manufacturing- Planning with Safety Stock
Usability Improvements
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Fixed Pegging
Supply Chain – two BOM levels with raw material purchasing
Cust. Orders
1. BOM Level
2. BOM Level
Raw Material
BanfBst BsEin BanfBst BsEin
Bst BsEin Bst Banf
BstPlauf Fauf PlaufPlauf Fauf
Fauf Bst FaufPlauf
Fauf Bst Fauf
Kdauf LiefKdauf Kdauf Kdauf
Kdauf Kdauf
Bst BstBst Bst
Kdauf
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Fixed Pegging: Planning Objectives
Cust. Orders
1. BOM Level
2. BOM Level
Raw Material
BanfBst BsEin BanfBst BsEin
Bst BsEin Bst Banf
BstPlauf Fauf PlaufPlauf Fauf
Fauf Bst Fauf Plauf
Fauf Bst Fauf
Kdauf LiefKdauf Kdauf Kdauf
Kdauf Kdauf
Bst BstBst Bst
Kdauf
Stable confirmations
Fixed material flow (single and multi level)
Stable integration into execution (to preserve fixed peggingon document changes)
Optimized monitoring and maintenance
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Fixed Pegging: New Developments
heuristics tocreate fixed
pegging
• supports single and multi level
3 methods to create fixed pegging relationships• fix dynamic pegging relationships• fix by batches• fix by user defined criteria
back orderprocessing
(BOP)
ATP• Online ATP and BOP (back order processing),
part of PP/DS ATP
2 methods in PP/DS ATP:• check against fixed pegging only• check against fixed pegging; if no confirmation is
available then check by standard ATP logic
Important:ATP means PP/DS ATP and not standard ATP ontime series!
online ATP
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Purchasing functionsShipping notification/vendor confirmation for purchase orderGoods receipt, purchase order / shipping notificationGoods receipt, inspection lots (QM)
Changes of purchase documents
Sales and Distribution functionsDelivery for sales orderGoods issue based on sales order/deliveryBatch splitOrder changesAvailability check, sales order
Inventory Management functionsGoods movementTransfer posting to reservationReservation changeTransfer inspection lot quantities (QM)
Recurring inspection (QM)
Production control functionsConfirmation for production order/process orderBatch splitGoods receiptGoods receipt, inspection lot (QM)Goods issueChanges of production ordersAvailability check of order components
Conversion of planningresults
Conversion of planned order into productionorder/process order
Conversion of purchase requisition intopurchase order
PlanningKey completion of planned orderKey completion of purchase order
Fixed Pegging: CIF Integration
Preserveexisting fixed
peggingrelationships!
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Fixed Pegging: Processes Overview
2. online ATP/CTP
4. detailedscheduling
3. productionplanning
5. backorderprocessing
1. sales orderinbound
PP/DS planningtime fence ATPcheck horizon PP/DSplanning horizonToday
Before: All relationshipsshould be fixed
Before: Relationshipsbetween ATP and PP/DS
horizon should be defixedAfter: Fix pegging of MRP
should be used
Before: All sales orders should be fix pegged
Before: ATP confirmed demands shouldbe fix pegged only
After: New sales orders should be fixed
SD horizon
… Optional: Adjustment of material flow via fix pegging heuristics
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Process 1 – Fixed Material Flow by ATP
heuristics tocreate fixed
pegging
finite planningrun
infinite planningrun
back orderprocessing
(BOP)
sales orderinbound
heuristics tocreate fixed
pegging
new sales order in SAP R/3 with online ATP• set confirmation if possible• continuous process
heuristics to peg lastly confirmed sched. lines• single level for finish products to keep allocations stable• periodic process (e.g. hourly)
optimization run (PP/DS)• to create a feasible production plan
infinite MRP run• multi level to create missing receipts for uncovered sales orders• periodic process (e.g. at night)
heuristics to peg multi level• propagate priorities of pegged requirements to dependent requirements• multi level
confirmation of unconfirmed sales orders• confirm new sales orders• ATP update of confirmed sales orders• possibility to confirm against check horizon considering scope of check
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Process 2 – Fixed Material Flow by MRP
heuristics tocreate fixed
pegging
finite planningrun
infinite planningrun
back orderprocessing
(BOP)
sales orderinbound
new sales order in SAP R/3 without online ATP• no confirmations• continuous process
heuristics to peg by fixed pegging relationships• multi level to peg results of infinite MRP• periodic process (e.g. at night)
optimization run (PP/DS)• to create a feasible production plan
infinite MRP run• multi level to create missing receipts for new sales orders
• periodic process (e.g. at night)
confirmation of unconfirmed sales orders• confirm new sales orders• ATP update of confirmed sales orders
• possibility to confirm against check horizon considering scope of check
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Process 2 - Example
Finished Goods
Sub-Assembly
Procurement
Finished Goods
Sub-Assembly
Procurement
fixed pegging dynamic peggingmaterial supply (existing/new)
customer order (existing/new)
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Process 2 – Example
Finished Goods
Sub-Assembly
Procurement
Finished Goods
Sub-Assembly
Procurement
fixed pegging dynamic peggingmaterial supply (existing/new)
customer order (existing/new)
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Process 4 – Assistance to CTP
heuristics tocreate fixed
pegging
finite planningrun
infinite planningrun
back orderprocessing
(BOP)
sales orderinbound
heuristics tocreate fixed
pegging
new sales order in SAP R/3 with CTP• set confirmation or create planned order• continuous process
heuristics to peg lastly confirmed sched. lines• single level for finish products to keep allocations stable• periodic process (e.g. hourly)
optimization run (PP/DS)• to create a feasible production plan
infinite MRP run• multi level to create missing receipts for uncovered sales orders• periodic process (e.g. at night)
heuristics to peg lower levels• propagate priorities of pegged requirements to dependent requirements• multi level
confirmation of unconfirmed sales orders• confirm new sales orders• ATP update of confirmed sales orders• possibility to confirm against check horizon considering scope of check
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The Problem
The main shortcoming of the existing CTP solution is theunsatisfactory capacity utilization due to fragmented load
assignment.
Sequence-dependent setup activities lead to poor capacityutilization as no setup-time optimization is done during the CTPrun.
Applying finite CTP on different BOM levels lengthens the lead-time, aggravates the above mentioned problems and impairs thesystem performance.
Bucket-Oriented Capacity Checks (CTP)
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The Solution: PP/DS bucket-based capacity checks
Bucket Capacity
Desired DatePlanning Direction
Time-Continuous Capacity
today
Bucket-Oriented Capacity Checks (CTP)
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Benefits Speedy generation of roughly feasible production plans bymaximum capacity utilization.High degree of responsiveness and improved information qualityregarding customer’s orders.The sales representative is able to offer delivery commitments onbucket level without relying on the production planner.The production planner can perform scheduling/optimization withinthe buckets.CTP can apply bucket-oriented capacity checks on more than oneresource and at different BOM levels without risking performance orcapacity utilization.No more deterioration of the capacity utilization due to sequence-dependent setups.Performance enhancements through simplified capacity checksduring the CTP run.
Bucket-Oriented Capacity Checks (CTP)
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•
Horizon fordetailed
scheduling Horizon for bucket-oriented capacity planning
Planning Horizon
Hierarchical Planning with “detailed” and “bucketed” Horizon
Bucket-Oriented Capacity Checks (CTP)
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Multi-Level Scheduling: Long-Term and Short-Term
Short-termadjustments
Resolve BacklogResolve Emergencies
Correct Relations
Few manualactions
In backgroundFor whole plantFull scheduling
horizon
Semi-automaticInteractive(rapid response)Local focus
Near-term horizon
Long-term
planningMaterial PlanningCapacity Optimization
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Multi-Level Scheduling
Before SAP APO 4.1
Only one BOM level with one finite resource can be planed withinteractive scheduling and scheduling heuristics (except for theoptimizer)
Coordination of different BOM levels has to be done by serviceheuristics (Bottom-Up und Top-Down)
As of SAP APO 4.1: Multi-Level Scheduling with Heuristics Forward planning, resolve backlog
Late operations will be planned to the future in the same sequenceUsing the same resourceExisting operations on the resources will be moved to the futureRelations and material constraints will be consideredCustomer demands can be violated
Multi Level Scheduling: Forward planning resolve
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Multi-Level Scheduling: Forward planning, resolvebacklog
4.1Res. 4
Res. 3
Res. 2
Res. 1
2.1
4.2 4.3 4.4
2.4
3.2
2.2
1.21.1
3.3
2.3
1.3
3.4
1.4
Problem 2: Backlog operations
Problem 3: violated
relationships orbackward pegging
Problem 1: capacityoverloads
3.1
today
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Forward planning, resolve backlog
Res. 4
Res. 3
Res. 2
Res. 1
4.3 4.4
3.3
2.3
1.3
3.4
1.4
4.1
3.1
2.1
4.2
3.2
2.2
1.21.1
2.4
No morecapacityoverloads
No violatedrelationships and
no backwardpegging
No backlog
Top level demandcan be violated
today
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Error-tolerant Scheduling: Old Behavior (4.0)
21 3
41 5 22
1
4
5
“All or nothing” – principleViolation of constraints can lead to termination of scheduling
Example
Sched. Mode:Insert Operation
l h d l h ( )
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Error-tolerant Scheduling: New Behavior (4.1)
21 3
4
41 52
1
Sched. Mode:Insert Operation
5
2
3
Error-tolerant scheduling loads as many activities as possiblewith the normal strategy and the activities that can’t be scheduledwith the normal strategy with an error-tolerant strategy
Error-tolerant Mode:Schedule Deallocated
Example
7 error-tolerantmodes available in strategy profile
Optimization: Capacity Adjustment - Production
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Optimization: Capacity Adjustment ProductionPlans without Lateness
The Problem: Capacity problems If production capacity is not sufficient, orders get scheduled late.
The Goal: Decision support Provide an indicator for the production scheduler where toincrease capacity (e.g. via extra shifts) to produce all orders intime.
The Solution
PP/DS Optimizer deallocates late operations. The deallocatedoperations indicate to the production scheduler where capacitybottlenecks are.
Now, the scheduler can take actions to resolve the bottlenecks.
Optimization: Capacity Adjustment - Production
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p p y jPlans without Lateness
B
A
C
week 5 week 6week 4
C
B
A
week 5 week 6week 4
Late order...
... deallocation indicatescapacity bottleneck inweek 4 ...
A
week 5 week 6week 4
... capacity increase inweek 4 solves theproblem!
Example
Project Manufacturing Business Pain Points
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Sales Cycle
Management
Project Manufacturing – Business Pain Points
Too low transparency in the supply chain
Weak coordination and integration ofproject planning, engineering andproduction
Missing parts and capacity overload
not considered in scheduling causingproduction disturbances resulting in highstock levels and low capacity utilization
Expensive short-term corrective action
Long lead times
Frequent delays in deliverycausing penalty costs
Manufacturing:
Engineer-To-Order
Concept & Product
Development
Production &ProcurementCoordination
Shipping, Assembly
& Project Billing
Project DrivenProduction &Procurement
Project Planning &
Engineering
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Advanced Planning for Project Manufacturing
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with SAP APO - Benefits Advanced Planning and Optimization
Constraint Based PlanningFlexible Scheduling HeuristicsOptimization to reach global planning goals
Coordination across the completesupply chain
Integrated project and production planningMulti-level scheduling(bottom-up, top-down)Backlog-free planning – feasible plans
Transparency and VisualizationPegging – automatic matching ofdemand and supplyVisualization of complete flow(project, production, procurement)Alerts - Early warning system for lateorders, bottlenecks, missing parts
Adaptiveness and SimulationWhat-if simulationSolve bottlenecks using alternative workcenters or production versions, overtime,external procurement, stock transfer, …
Project Planning
Production
Procurement /Warehouse
Business BenefitsReduce lead timesReduce inventoryIncrease throughputDeliver on time
Enhancements in Planning with Safety Stock
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Enhancements in Planning with Safety Stock
Two different types of safety stock planning proceduresVirtual safety stock demands within heuristic calculationReal safety stock demands with order priority
New Alert TypesSafety Stock ShortfallTarget Stock ShortfallTarget Stock Level Exceeded
Availability of Safety StockSafety stock should be available to smooth production, small demandsshould not trigger productionTarget stock level methods used to model availability
BenefitsAlert based monitoring of stock levelSmooth production
Agenda
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Agenda
Master Data and Integration- Master Data Strategy- Integration Enhancements- Harmonization of Classification
Systems
New/Improved Planning Processes- Fixed Pegging- Bucket-oriented CTP- Scheduling Enhancements- Project Manufacturing- Planning with Safety Stock
Usability Improvements
Usability Enhancements: Product View
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Usability Enhancements: Product View
Selection Rules
Pegging Overview & Maintenance
Usability Enhancements: DS Planning Board
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Usability Enhancements: DS Planning Board
Simulation Version: Save as ... / Copy Graphical Enhancements
PP/DS HorizonPlanning Time FenceOrder from PP-PI: Setup and Produce in one line
Enhanced Search FunctionOrder Number
Product IDProduct DescriptionSetup GroupSetup Key
Order-Copy / Create with Template
Order-Split (available on request)
Copyright 2005 SAP AG. All Rights Reserved
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Die von SAP AG oder deren Vertriebsfirmen angebotenen Softwareprodukte können Softwarekomponenten auchanderer Softwarehersteller enthalten.
Microsoft®, WINDOWS®, NT®, EXCEL®, Word®, PowerPoint® und SQL Server® sind eingetragene Marken derMicrosoft 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®, Informixund Informix® Dynamic ServerTM sind Marken der IBM Corporation in den USA und/oder anderen Ländern.
ORACLE® ist eine eingetragene Marke der ORACLE Corporation.
UNIX®, X/Open®, OSF/1® und Motif® sind eingetragene Marken der Open Group.
Citrix®, das Citrix-Logo, ICA®, Program Neighborhood®, MetaFrame®, WinFrame®, VideoFrame®, MultiWin® undandere hier erwähnte Namen von Citrix-Produkten sind Marken von Citrix Systems, Inc.
HTML, DHTML, XML, XHTML sind Marken oder eingetragene Marken des W3C®, World Wide Web Consortium,Massachusetts Institute of Technology.
JAVA® ist eine eingetragene Marke der Sun Microsystems, Inc.
JAVASCRIPT® ist eine eingetragene Marke der Sun Microsystems, Inc., verwendet unter der Lizenz der von
Netscape entwickelten und implementierten Technologie.MarketSet und Enterprise Buyer sind gemeinsame Marken von SAP AG und Commerce One.
SAP, SAP Logo, R/2, R/3, mySAP, mySAP.com und weitere im Text erwähnte SAP-Produkte und -Dienst-leistungensowie die entsprechenden Logos sind Marken oder eingetragene Marken der SAP AG in Deutschland und anderenLändern weltweit. Alle anderen Namen von Produkten und Dienstleistungen sind Marken der jeweiligen Firmen.
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