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1 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Forecast to Plan
Oracle Advanced Planning
Nadeem SyedVice [email protected]
2 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
TRENDSTRENDS ADAPT YOUR BUSINESS MODELADAPT YOUR BUSINESS MODEL
Today: Tough Economic ConditionsBusiness trends forcing you to adapt new strategies
Higher degree of uncertaintyManage to uncertainty by
postponing inventory
Increased global competition Focus on core competency –
Increase outsourcing
Mass customizationMove point of differentiation
closer to customers
Focus on customer service to ensure brand loyalty
Provide reliable and accuratecommitments to customers
Less money to invest in IT Lower cost of ownership of apps
• Response 1: Maintain Excess Inventory
• Response 2: Reserve Production Capacity
• Response 3: Expedite Everything!
Traditional ApproachMulti-step planning processes, high latency, limited collaboration
Supply Chains Built on INVENTORYSupply Chains Built on INVENTORY
Customers Suppliers
Tier 2
Tier 1
Marketing Forecast
Sales Forecast
MfgForecast
Distribution Plans
Production Plans
ManufacturingPlans
t = weeks
?Demand Planning Process Supply Planning Process
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Build your Supply Chain on INFORMATION not inventory
• Enable closed loop planning processes across your value chain
• Provide total supply chain visibility
• Make better decisions
• React immediately to changes in supply chain
Move To A More Competitive ModelE-Business planning solution: zero latency, real-time collaboration
Internet
Customers Suppliers
Tier 2
Tier 1
Marketing forecast
Sales forecast
Mfgforecast
Single holistic plan
t = hours
Consensus forecast
Automatedexceptions
PortalPortal
Collaborativedemand plan
Collaborativesupply plan
Automatedexceptions
Automatedexceptions
Collaborative Planning Process
Demand Planning Process Supply Planning Process
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
5 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
OracleOracle
Advanced Planning Advanced Planning
SolutionSolution
Oracle Advanced Planning
Supply Chain Intelligence
Demand Planning
Inventory Optimization
Supply Chain and Manufacturing Planning
Manufacturing Scheduling
Transportation Planning*
Collaborative Planning
SCI
DP
IO
Deployment Planning** ASCP
Global Order Promising GOP
MS
TP
CP
ASCP
Sales and Operations Planning
SC EXCEPTION MGTSC Exception Management CP
DevelopMarketSellOrderPlan
Procure
Make
Fulfill
Service
MaintainFinance
HRProjects
All Product,Customer,& SupplierInformation
All Product,Customer,& SupplierInformation
From short-term to long-term
Fro
m d
eta
il t
o s
um
ma
ry
Complete e-business planning solution
* Coming in 11i.10 ** Coming in 11i.10+
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
7 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Key Capabilities
Sales and operations planning
Inventory postponement optimization
Holistic planning and optimization
Multi-tier collaborative planning
Zero downtime global order promising
8 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
SALES AND OPERATIONS PLANNING
Sales and Operations Planning
CRM• Sales opportunities• Trade promotions
EPB• Financial plan• Budget plan
OM• Ship and book history• Current order backlog
SCM• Prod. and inv. history• Production backlog
CP • Customer forecasts
INPUTS PROCESS
Management review to evaluate and adjust plan
Feed the supply plan and constrained forecast into the demand plan
Run ASCP with consensus forecast and inventory targets to determine supply plan
Run IO with consensus forecast to determine inventory targets and postponement strategy
Determine new product plan and generate demand plan to develop a consensus forecast
PLANNING
Demand Plan
Supply Plan
Inventory andservice levels
Management Reports
Exceptionmanagement
Sales PlanProduction PlanBookings Forecast
OUTPUTS
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Sales and Operations Planning
Continuous process– Simulate demand and supply
strategies– Analyze multiple business scenarios– Achieve consensus on plans through
internal collaboration– Generate and analyze exceptions– Use workflow to automate process
Adaptable – Custom demand and supply streams– Multi-dimensional OLAP– Extensible hierarchies and dimensions– User-defined reports and exceptions
Out-of-the-box integration– Integrated with CRM and SCM
Key capabilities
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
S&OP - Demand Planning
Compare and consolidate disparate forecasts– Sales, Marketing, Manufacturing, Customers,
Point of Sale (in units or $$)– Multi-dimensional OLAP to allocate and rollup
Improve forecast accuracy– Better statistical forecasts– Forecast planning percentages for models and
options– Get visibility to customer demand changes
Improve demand planning cycle time– Continuous demand planning process– Automated internal collaboration
Improve sales promotion planning– Forecasting integrated with promotion planning– Measure effectiveness
Drive to accurate consensus forecast
Internet
Customers
Marketing forecast
Sales forecast
Mfgforecast
Consensus forecast
Portal
Collaborativedemand plan Automated
exceptions
Demand Planning Process
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
S&OP - Demand Planning
Improve delivery performance– Include customers in forecasting process– Publish sales forecast to suppliers at
any tier
Manage product life cycles more effectively, with your trading partners– Introduction of new products– Phase-out of obsolete products
Reduce non-value added costs and exception overload– User-defined exceptions– Proactive notifications– Automated exception handling via
workflow
Drive to accurate consensus forecast
Customer
OEM
Supplier
Sales forecast
Synchronize
Publish
Multi-tier forecast collaboration process
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
S&OP – Alcoa
• Reduced planning cycle time - Eliminates waste on spreadsheets Process integration with other modules results in technology “pull” for new systems Integrated sales and operations planning process resulting in one consensus forecast number
Benefits
COMPANYCOMPANY
$20.3 billion in revenues 350 operating locations in 40 countries 127,000 Alcoans worldwide 4 Major Rolling Mills - Davenport, Iowa;
Lancaster, Pennsylvania; Texarkana, Texas; San Antonio,Texas
Heat Treating and Blanking Center - Danville, Illinois
Customer service and distribution centers -Irvine, California;Hutchinson, Kansas
Extruded Tube for Heat Exchangers - St. Louis. Missouri; Monterey, Mexico
PREVIOUS PROCESSPREVIOUS PROCESS
Spreadsheets, not integrated with legacy system, nor with execution systems
Manual forecast smoothing No system supported sales and operations planning Monthly planning cycle, insufficient accuracy in order
promise dates
WITH ORACLEWITH ORACLE
Determines allocation to produce most profitable product mix within existing constraints
Performs all planning at the family level Powerful Integration of supply/demand picture
– Demand Planning & ASCP Supply/Inventory data– Drill Down and roll-up capability– Reporting tools and data analysis– Export to excel or HTML pages
Supports the S&OP Process– Demand Planning analysis and Pre-work– Operations Planning analysis and pre-work– S&OP composite picture in Real Time during
review sessionsSource: Alcoa Presentation at Appsworld 2004
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
15 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
INVENTORY POSTPONEMENT OPTIMIZATION
Inventory Postponement Optimization
Inventory levels and policies are synchronized across the entire supply chain
Manage to uncertainty– Demand, supply, lead-times
Pull model, driven by point of postponement
Higher customer service at lower inventory cost
Time-phased safety stock buffers at all levels
Multiple target service levels
Manage to uncertainty, reduce inventory, improve customer service
Suppliers
ContractManufacturers
FinalAssembly
Central Distribution Centers
Regional Distribution Centers
Customers
Without Postponement With Postponement
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17 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Inventory Postponement Optimization
Reduced inventory cost
Increased flexibility to handle supply and demand uncertainty
Rapidly handle product mix changes
Reduced average fulfillment lead-times
Reduced material liability
Ability to absorb yield exposure
Business benefits
Inventory Postponement Optimization
Reduce inventory without sacrificing customer service
– Postponement– Risk pooling
Manage supply chain variability
Choose the best service level strategy based on cost and revenue
– Inventory budget constraints
Invest in profitable channels, products, and customers
Manage seasonality and product life cycle characteristics
– Recommend time-phased safety stock to supply planning
Out-of-the-box optimization – For planners, not programmers
Inv
en
tory
In
ve
stm
en
t
Service Level
10 30 50 75 80 85 90 95 100
Higher Service Level
LowerInventoryCost
WithoutOracle
WithOracle
Key capabilities
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
19 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Reduce inventory without impacting customer service
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20 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Simulate multiple scenarios to find the
optimal trade-off between cost and
service level
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21 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Inventory Postponement Optimization
Focusing on ‘class A’ parts for service business
Determining safety stock levels across finished goods and raw materials
Realizing significant benefits – Example: reduced inventory for one part by 10%
Customer example - GE Aircraft Engines, US
22 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
HOLISTIC PLANNING AND OPTIMIZATION
23 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Holistic Planning and Optimization
Unified solution for supply chain and manufacturing planning
Segment the problem as needed
Optimization for planners not programmers
Scalable and reliable
Faster and better supply chain plans
Short-term planning
Long-term planning
Semicon
Process
Discrete
Flow
ProjectPlants
Warehouses
Customers
Suppliers
DCs
Internet
Holistic Planning and Optimization
Supply Chain Planning– Product family and item level
planning– Alternate components,
resources, processes, suppliers, and facilities
– End-item substitution– Critical items and resources– Aggregate resources– Bills of distribution and transfer
rules– Customer and supplier facilities
Manufacturing Planning and Scheduling
– Simultaneous resources– Batch resources– Alternate resources– Minimum transfer quantities– Sequence dependent setups– Contiguous activities– Complex, network routings– By-products and co-products
One solution for comprehensive supply chain and mfg planning
ONE SUPPLY CHAIN MODEL, ONE PLANNING ENGINE, ONE SETUP
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Holistic Planning and Optimization
Adapts to your current business model
– Single plan or multiple plans
Evolve planning model at your own pace
– Re-configure easily by modifying plan options instead of re-implementing or re-modeling
Multiple models can co-exist
Highly adaptable - Segment problem as needed
One holistic plan
One DRP, multiple MRP
Multiple MPS, multiple MRP
DRP for all Orgs
MRP Org 1 MRP Org 2 MRP Org 3
SCP for all Organizations
MPS for BU 1
MPS for BU 2
MRP Org 1 - 2 - 3 MRP Org 4 - 5 - 6
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Holistic Planning and Optimization
Interceramic– 91 Distribution centers, stores,
and franchises– 4 Plant warehouses – 7 Manufacturing plants– 3000 BOMs, 100,000 SKUs– Run DRP, constrained MPS, and
raw material MRP
Knowles Electronics– Global planning instance
2 Locations in the US 1 Location in Europe 5 Locations in Asia
– Mixed mode manufacturing Make to stock Make to order Configure to order
– Global order promising against 1 central plan
Highly adaptable - Customer examples
Suppliers CustomersDistribution
chainManufacturing
plants
ConstrainedSC plan
ConstrainedMFG plan for all facilities
DRP plan
Inventory postponement
plan
CollaborativeDemand plan Knowles Electronics has
reduced inventory by $1M per month after implementing Advanced Planning.
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Holistic Planning and Optimization
Make better decisions faster– Level load– Choose alternatives– Make/buy decisions
Out-of-the-box optimization– Use costs or decision rules
Start quickly– Planners define the problem to solve– Flexible defaulting
Reduce planner workload
Optimization “For Planners, Not Programmers”
GE AE has moved from running separate plans in 36 facilities to running a single holistic plan across their DCs, end-assembly, contract manufacturing, and component shops, and as a result has reduced their planningorganization significantly
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Holistic Planning and Optimization
Patented memory-based architecture– Multi-threaded snapshot– Optimized end-to-end run time
Database centric– All plan information resides in the database– Leverages high performance database capabilities
Flexible plan scope– Telescoping granularity– Apply constraints selectively– Subset planning
Scalable
High VolumeCustomers
Agilent Technologies, Sony SNC, GE AE, NCR, Panasonic, Alcoa, …
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
29 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
MULTI-TIER COLLABORATIVE PLANNING
30 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Multi-tier Collaborative Planning
Plan your extended supply chain – Share forecasts and supply commits with
customers and suppliers– Get visibility to supplier capacity– Reallocate key components – Make alternate sourcing decisions
Reduce inventory cost and improve fulfillment
– Suppliers manage your inventory– Manage your customers’ inventory
React quickly to supply chain exceptions
– Waterfall analysis– User-configurable exceptions– Automated exception handling via workflow
Full visibility and synchronization across the extended supply chain
ContractManufacturer
You SupplierCustomer
Run plan
Optional
Forecast
‘memory’
Supply commit
‘boards’
Supply commit
‘memory’
Demand
‘boards’
Run plan
Demand‘systems’
Supplyforecast
Consensusforecast
31 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
VMI and Consigned InventoryAutomate inventory replenishment with suppliers and customers
Customer consigned coming in 11i.10
YouSupplierCustomer
Receive items
Pay on receipt/use
Check inventory status
Ship items
VMI Agreement(with supplier)
VMI AgreementVMI Agreement -
Receive items
Pay on receipt/use
Ship items
VMI Agreement(with customer)
Send consumption advice
32 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Customer Example: Alcatel eND
Enabled 100% virtual enterprise
Plan virtual supply chain– Planning cycle time reduced by 75%
Reduced inventory by more than 65%
Reduced material liability by 80%
Established global closed-loop process controls
Improved supply chain visibility
Projected annual savings of $15M
33 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
ZERO DOWNTIME GLOBAL ORDER PROMISING
Zero Downtime Global Order Promising
Promise orders based on:– Material availability– Manufacturing capacity– Transportation capacity– Supplier capacity
Global statement of availability– All facilities, material, resources, and
suppliers
Allocate available supply and capacity– By channel, customer, or product– Priority and stealing rules
Manage commitments to key customers– Re-schedule and re-sequence your
backlog
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
35 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Zero Downtime Global Order Promising
Zero downtime– No order promising downtime
when underlying supply chain plan is refreshed
– No sales order is lost, automatically re-promise sales orders against new plan
Open, reliable, and scalable– Engine runs inside the database– No memory models to load!– Multi-threaded– Integrated with OM, iStore, and
Call Center– Easily integrate with legacy
systems
Guaranteed uptime and consistency via patent-pending architecture
Current plan
Promise Orders Promise Orders
Run new plan
Copy Run Copy
? ? ? ? ? ? ?
New planDowntime or
Inaccurate orders
TYPICAL APPROACH
ORACLE APPROACH
Current plan
Promise Orders Promise Orders
Run new plan
Copy RunSync &
Re-promise
New plan
Swap
36 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Zero Downtime Global Order Promising
Agilent Technologies– Performing multi-level capable-
to-promise– Greatly reduced expedite orders
with accurate order promising dates
– Moved from batch to online order promising
– Increased customer satisfaction of key strategic customers by using allocated ATP
– 24x7 worldwide order operation with ‘zero downtime’ CTP
– Meet customer requirement by utilizing substitute components
Cisco– Every order for every router sold
worldwide goes through GOP– Complex order promising problem
Product and channel allocation rules Extensive use of ship sets in an
assembly to order environment High volumes
Intersil– Using material and resource
constraints (CTP) across virtual supply chain
– Sales people promise orders online in seconds
Customer examples
37 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
INTEGRATED PERFORMANCE MANAGEMENTand PROCESS AUTOMATION
Integrated Performance Management
DP• Forecast accuracy• Margin analysis• Promotion effectiveness
ASCP• Planned utilization• On-time delivery• Planned margin
IO• Service level analysis• Plan versus profit• Postponement savings
TP• Carrier contract utilization• Cost per unit weight• Cost per unit volume
CP • Supply commit variability• Order forecast variability
PLAN TO PERFORMANCE PROCESS
Perform trend analysis and adjust business plan and targets
Analyze exceptions based on facts; take immediate corrective action
Calculate KPIs and compare to plan; notify decision makers of exceptions
Identify key performance measures and set targets
BUSINESS INTELLIGENCE
Define targets
OUTPUTS
Management reports
Execute transactions
Measure performanceNotify on‘out of tolerance’
Role-based portals
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Process Automation
Automated end to end planning process
– DP IO ASCP GOP CP
Automated plan execution– Auto-release orders and reschedule
recommendations
Configurable exception management– Workflow enabled exceptions– User-defined exceptions– Configurable thresholds
Kyocera has workflow-enabled their planning process to the extent where their planners manage all the plan exceptions by responding to email notifications
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
40 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
SCALABLE AND OPEN ARCHITECTURE
Scalable and Open Architecture
High performance– In-memory only when needed– Multi-threaded snapshot– Leverages key database features like
materialized views, partitions, and analytical workspaces
Reliable – All plan information resides in the database– Hot backup and recovery– Leverages grid computing infrastructure
Open and standards based– Runs against all versions of Oracle EBS -
10.7, 11.0, 11i– Deploy against legacy systems– XML, flat file, EDI support
Advanced Planning
APIS
Trading partners Internal Users
Internet
Oracle 10.7, 11.0, 11i
Legacy Systems
XMLEDIFlat file
Order Promising Engine
Portals
Express OLAP
KPIs Workflows Plans
LegacyDeployments
Cochlear, Embraer, FXAP, NCR, Interceramic, GE Aircraft Engines, Perkin Elmer, Xilinx, …
Database-centric architecture
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42 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
MomentumMomentum
43 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Ongoing Momentum
600+ Advanced Planning customers – Both new installs and upgrades, several legacy system
deployments– 50% same instance, 50% distributed architecture– Broad use of modules– Worldwide deployments
US, Brazil, Mexico, UK, France, Italy, Spain, Switzerland, Belgium, Turkey, Israel, South Africa, Singapore, Japan, India, Taiwan, Indonesia, Australia, New Zealand, Korea, China, Malaysia…
– Large-scale, complex deployments
A Few Live Customers … Intersil - ASCP, DP, GOP Fuji Xerox Asia Pacific - ASCP, DP Perkin Elmer - ASCP, GOP NCR - ASCP, DP Namitech - ASCP, GOP AT&T Wireless - ASCP, DP, CP Xilinx - ASCP UPS Logistics - ASCP, GOP Agilent - ASCP, GOP, DP Mykrolis - ASCP Knowles Electric - ASCP, GOP Panasonic - ASCP Honeywell S&C - ASCP, DP Embraer - CP, DP Tube Investments - ASCP Eaton Trucks - ASCP Kyocera - ASCP
Cisco - ASCP, GOP Alcoa - ASCP, DP, GOP Canon Virginia - ASCP GE Power Systems - ASCP, GOP GE Aircraft Engines - ASCP Silgan Plastics - ASCP Qualcomm - ASCP, DP, CP McGraw-Hill - ASCP, DP Alcatel eND - ASCP, DP, CP Cabot Microelectronics - DP Mango - CP Rockford - ASCP, DP Quantum - ASCP, DP Boeing - ASCP Anugra Argon Medica - ASCP, DP Cochlear - ASCP, DP Inventec - ASCP, GOP, CP
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Adding Value and Assuring ROI
Intersil reduced inventory by 50%, reduced response time for critical products from 336 to 24 hours, 246% ROI
Canon moved from weekly to daily planning, real-time order release
Tube Investments reduced inventories by 20%, ramped up production by 20%, increased market share from 50% to 80%
Agilent moved from monthly to weekly planning cycles
Knowles Electronics reduced inventory costs by $1M each month
Alcatel eND moved to virtual supply chain model and reduced inventory by more than 65%
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
AT&T Wireless
• Inventory is down year over year while product line is much broader• Service level remains strong• Inventory volatility is dramatically reduced• Increased collaboration
Benefits
COMPANYCOMPANY
Largest independent wireless communications company. Second largest based on revenue
$16.6B revenue, 22M subscribers, ~30k employees
Wireless Voice and Data Services. TDMA/GSM Network. Fastest National data
network
PLANNING BENCHMARKPLANNING BENCHMARK
• 1 National distribution center• 7 Channels• 1100+ Company owned stores, Web, Direct Mail• 18 Major national retail partners; 17,000+ doors• $ 2.0B+ Annual spend• Manage 500+ SKUs• 12+ Major device suppliers• 40+ Accessory suppliers
PREVIOUS PROCESSPREVIOUS PROCESS
• PC based toolsets• Difficult to aggregate and publish• Change & version control lacking• Shared data mart• Scrubbed data is dispersed• Off the shelf stat package
WITH ORACLEWITH ORACLE
Runs worldwide sales operations using ASCP, DP, and CP 5 month implementation CPFR collaboration with suppliers Central repository for consensus forecast Supports consistent process flow with approval steps Improved visibility for balancing supply and demand Less time verifying data, more time analyzing data Integrated custom data streams and aggregates
Source: AT&T presentation – Oracle Appsworld, 2004
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Inventec Multimedia & Telecom, Taiwan
• Reduced order promising lead-time from 3 days to minutes• Achieved real-time visibility to supply and demand• Reduced planning cycle time through an integrated forecast-to-plan model• Highly automated planning processes versus previous use of spreadsheets
COMPANYCOMPANY
Large contract manufacturer of voice and digital imaging, and voice and data transmission products
$360M revenue
PLANNING BENCHMARKPLANNING BENCHMARK
• End-to-end planning run = 2 hrs• Collaboration with 150 suppliers• Full CPFR implementation
PREVIOUS PROCESSPREVIOUS PROCESS
• Uni-directional planning process (Cisco > Inventec > Suppliers)• No supply-demand allocation process• Excess inventory, extensive expediting• Supplier bottlenecks – late delivery of critical components• No support for CPFR• No constrained based order promising – inaccurate order dates• Spreadsheet based tools, disconnected systems
WITH ORACLEWITH ORACLE
4 month implementation Operates complete collaborative planning process using
ASCP, GOP, and CP Collaborative supply-demand planning with key customers Collaborative supply planning with 150 suppliers Constrained multi-org plan, weekly; used to publish order
forecast to suppliers, who provide supply commits as input Daily plans as a basis for material constrained ATP VMI with suppliers – full visibility to stock levels and in-transit
Benefits
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
NCR Corporation, US
• Synchronization of entire worldwide supply chain with complete global visibility• Strongly reduced planning cycle time• Strongly increased forecast accuracy• System supported sales and operations planning process
COMPANYCOMPANY
Retail Services Division (RSD) and Financial Services Division (FSD)
Manufacturer of point of sale and high-end scanning equipment, and service provider of complete store automation, ATMs, and self-service kiosk solutions
$5.6B revenue FY02
PLANNING BENCHMARKPLANNING BENCHMARK
Demand Planning• 500,000 demand planning composites• 12+ month forecasting horizon• 20Gb memory model
Supply Chain Planning• 20 orgs• 1,000,000 items• 2,5 hours end-to-end planning run
PREVIOUS PROCESSPREVIOUS PROCESS
• Each organization ran individual MRP, 54 ERP instances
• Integration between orgs was based on buy-sell relationship
• Forecast accuracy < 50%• Sales and operations planning cycle time: 21 days• No system supported sales and operations planning
process
WITH ORACLEWITH ORACLE
Runs worldwide manufacturing and sales operations using ASCP, DP, and GOP
Single, global plan for 20 orgs, including worldwide distribution centers and manufacturing plants
Runs daily constrained enterprise plan (EDD) Complex procured configurations Using real-time material constrained, multi-org, multi-level
ATO order promising process
Benefits
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Toshiba TEC, Worldwide
$3.1B manufacturer of document processing equipment
Previous process– Multiple regional ERP instances – Decentralized planning process
Current process– Global centralized planning model– ASCP is cornerstone of Global SCM
project– Uses ASCP to make global production
allocation decisions– Uses material and resource
constrained planning
Benefits– Moved from a monthly planning cycle
to a weekly cycle– Reduced manufacturing cycle times– Optimized worldwide inventory levels
Global planning system deployment – multi-instance
Read their online testimonial
Orcl 11i
Orcl 11iUS
Europe
Advanced Planning 11i
Orcl 11.0China
Japan
Malaysia Orcl 11.0
Orcl 11.0
Resource and materialconstrainedProduction Plan (MPS)
Manufacturing SitesDistribution Sites
Toner Mfg Plant
Japan Orcl 10.7
Japan - Distribution Sites
Forecast
Forecast
Forecast
MRP
MRP
MRP
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Agilent, Worldwide
Semiconductor Products GroupSemiconductor Products Group
$1.586B net revenue (FY03)
Test & Measurement and Automated Test GroupTest & Measurement and Automated Test Group
$2.53B and $0.76B net revenue (FY03)
Previous ProcessPrevious Process
Legacy order promising using ATP Disparate planning tools across supply chain Reactive, manual, and time consuming plan analysis 1 week planning cycle Manual forecast generation No system supported S&OP process
Legacy order promising using ATP Manual order promising with fixed lead-time Weekly, cascaded MRPs (4 wk propagation) No system supported S&OP process Multiple, divergent systems/process statistical
forecasting, new product introductions, or promotions
Previous ProcessPrevious Process
Runs worldwide manufacturing and sales operations using ASCP, DP, and GOP
Runs optimized enterprise plan, twice/week Plan includes tier-3 supplier organizations Low cost, high volume and high mix demand Using real-time CTP to promise orders 24x7, with use of
complex allocation rules Using complex network routings
Runs worldwide manufacturing and sales operations using ASCP, DP, and GOP
Runs weekly unconstrained enterprise plan High value, low/moderate volume demand; using 32 sub-
plans, new product introductions, and promotions Using real-time ATP to promise orders Using multi-level ATO and PTO models
With OracleWith Oracle With OracleWith Oracle
Scheduling 2 million operations 6-8 BOM levels, ~25 components per BOM >50,000 items, 6 month planning horizon < 50 ASCP and 10 DP users >20 orgs 25Gb memory model, end-to-end 15 hrs run
Planning ~1,500,000 forecast entries 6-12 BOM levels, ~1000 components per BOM ~400,000 items, 12 month planning horizon 200 ASCP and 15 DP users 12 factory orgs, 5 SMI orgs, 1 CM org 15Gb memory model, end-to-end 12 hrs run
Planning BenchmarkPlanning Benchmark Planning BenchmarkPlanning Benchmark
Highly complex, large scale model
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Sony SSNC, Japan
• Integrated sales and operations planning process resulting in one consensus forecast number• Strongly reduced planning cycle time – from monthly to daily• Integrated planning and execution model, providing global supply and demand visibility
COMPANYCOMPANY
6 Divisions: MOS, MS, LCD, IS, MDD, SIC Manufactures ultra high speed Static
Random Access memory (SRAM), products for the audio, video, and communication markets
$3B revenue
PLANNING BENCHMARKPLANNING BENCHMARK
• 1,000,000 demands• 800,000 supplies• Planning 18 facilities• 12 BOM levels• Scheduling 2.8M operations; 40,000 lots• 10Gb memory model
PREVIOUS PROCESSPREVIOUS PROCESS
• Spreadsheets, not integrated with legacy system, nor with
execution systems
• Manual forecast smoothing• No system supported sales and operations planning process• Monthly planning cycle, insufficient accuracy in order
promise dates• Fabrication and assembly lined in batch mode, causing wafer
shortages and excess inventory
WITH ORACLEWITH ORACLE
Runs worldwide manufacturing and sales operations using ASCP, DP, and CP
Holistic plan for 18 facilities, demands from 1000+ customers Daily optimized enterprise plan; 100 supply planners, 65
demand planners Uses substitute components, simultaneous and alternate
resources, co-product planning, alternate bills, routings, and sources, complex network routings, and process yields
Uses custom demand streams and custom dimensions for demand planning process
Uses complex allocation rules for global order promising
Benefits
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
52 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Future DirectionsFuture Directions
Future Vision and Product Directions
<< 11i8Holistic planning and optimizationOut-of-the-box optimization Distribution planningMaterial and resource constraintsDemand planning (OLAP based)Collaborative supply planningCollaborative demand planningVendor managed inventoryInventory optimizationSupply chain intelligenceDatabase centric planningMixed mode manufacturing Capable to promiseAllocation rules Process automation via workflow
Industry enhancements focused on- Aerospace and Defense- High Tech- Industrial Manufacturing- Process Manufacturing- Automotive
11i.9Sales and operations planningContinuous real-time DPIntegrated sales forecastingCollaborative exception managementPersonal events Automated demand and supply planning collaborationZero downtime order promisingIntegrated asset and material planningManufacturing scheduling for process manufacturingPlanning constraint root cause analysis
Industry enhancements focused on- High Tech- Semiconductor- Process Manufacturing- Automotive
11i.10Sales and operations planningDeployment planning enh.*Transportation planning* Configure to order enh.Inventory budget constraintsLiability analysis*Detailed scheduling enh.*Service supply chain planning*-- spare parts forecasting-- returns supply forecasting-- integration w/ service exec.User productivity enh. Analytical workspaces for DP
Industry enhancements focused on- Process Manufacturing- Logistics and Distribution- Service- High Tech- Automotive
Future >>Continuous planningSupply-demand matchingComplex outsourced model supportTransportation planning-- Fleet routing and scheduling-- Ocean, air, rail int’l transportationPush planningCausal forecasting enhancementsRetail supply chain-- Merchandise optimization-- Replenishment optimizationNext generation architecture
Industry enhancements focused on- Process Manufacturing- Logistics and Distribution- Retail- High Tech - Automotive
2002 2003 2004 2005 2006
BUILDING ADAPTIVE SOLUTIONS THE EVOLUTIONARY WAY
* Coming in 11i.10+
The following is intended to outline our general product direction and is intended for information purposes only. The development, release and timing of any features or functionality remains at the sole discretion of Oracle. This presentation is not a commitment to deliver any material, code or functionality.
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SummarySummary
Oracle Advanced PlanningE-Business planning solution: zero latency, real-time collaboration
Internet
Customers Suppliers
Tier 2
Tier 1
Marketing Forecast
Sales Forecast
ManufacturingForecast
Single Holistic Plan
t = hours
Demand Planning Process Supply Planning Process
Consensus Forecast
Automatedexceptions
PortalPortal
Collaborativedemand plan
Collaborativesupply plan Automated
exceptionsAutomatedexceptions
Collaborative Planning Process
Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
56 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Why Oracle!
Integrated planning, execution, and collaboration
Holistic planning and optimization
For planners, not programmers
Integrated performance management
Lowest total cost of ownership
57 Copyright © Oracle Corporation, 2004. Private and confidential. All rights reserved.
Key Points
Proven and complete planning solution– Many live customers on multiple products, across a wide variety of industries– Large-scale, complex, worldwide deployments
Provides significant value – Large reduction in planning cycle time– Significant reductions of inventory and increase in customer service levels– Enables customers to implement best practices
Easy to deploy– Seamlessly deploy against Oracle 10.7, 11.0, 11i– Easily interface with legacy systems– For Planners, Not Programmers - Out-of-the-box optimization– Superior architecture - scalable, database-driven planning; common data model
across all engines, shared with execution
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