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11I10PLANNING.pptx

The document provides an overview of new and enhanced functionality in Oracle's Advanced Planning product family, including: - Demand Planning now allows for global forecasting without specifying a shipping organization, and forecasting of service parts usage. - The Planner Workbench in Advanced Supply Chain Planning has been enhanced with improved navigation, ability to save queries, and access to collaboration information. - Inventory Optimization includes a new Analysis Workbench for analyzing inventory budgets, levels, costs, and revenue. - Global Order Promising enhancements allow "freeing up" of supplies and resources when unscheduling configured product sales orders.

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Applications for your Industry Information for your Business Oracle 11i10 Planning Family Alden Huff, IBU Application Specialist
Agenda  Key Takeaways  Product Family Footprint  New Products  Highlighted New Functionality  Cross-Sell Up-Sell  Analyst Remarks & Competition  Customer Stories  Summary-Takeaways
Key Takeaways
Key Takeaways  Advanced Planning is a Proven and Complete planning solution with over 600 customers on multiple products, across a wide variety of industries -Large-scale, complex, worldwide deployments  Global Forecasting will add value to our Retail and Distribution focused customers and prospects, helping them in improving their forecast accuracy  Up taking of Demand Planning will require 9iR2 or higher of database  Spare Parts Forecasting in now available to our customers using Services. Allowing customers to include spares in the overall forecasting function.  Customer facing VMI and Consignment VMI will allow our customers to provide more services their customers
Quick look:  Advanced Planning – Over 600 Customers using multiple products – Products being leveraged across a wide variety of industries – Large-scale, complex, worldwide deployments
Product Family Footprint
Analytic Applications Marketing Applications Pull Through Apps DBI for Planning Discrete Manufacturing, Process Manufacturing, Isupplier Portal, Ebusiness Suite, Field Service, Depot Repair Manufacturing Scheduling Demand Planning Collaborative Planning Oracle Advanced Planning Global Order Promising Inventory Optimization Advanced Supply Chain Planning Transportation Planning
Highlighted New Functionality Advanced Planning
Advanced Planning  Forecast Service Parts Usage  Forecast Returns  Supersession Forecasting  Round Fractional Quantities  Forecast by Demand Class  Support for Pick to Order Models  Forecasting of Key Configuration  Calculate Planning % Enhancements  Oracle Database 9iR2 OLAP  Line of Business Specific DP  Consumable Mtl Planning for CMRO  Acquire Sales History from Customer  Forecast Based on Scheduled Arrival Date  Internal Collaboration Enhancements  New Product Intro Event Allocations  Up-sell / Cross-Sell Substitution items  Folders for Measures  Automate Submissions Process  Multiple Document Interface  Preserve Forecast Adjustments  Display Backcast  Global Forecasting Demand Planning Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
Advanced Planning  Global Order Forecasting  Selection of Outbound Ship Method  Configure to Order Enhancements  Co-Product Planning Enhancements  Incremental Supplies form Supplier or Internal Org  Minimum Transfer Qty across Orgs  Consumable Materials Planning for CMRO operations  Display of Suppliers Modeled as Org  Purchase Order to Sales Order Linking  Forecast Distribution Assignment Set  Prevent Supplier Capacity spreading  Plan to Request, Promise or Schedule Date  Master Scheduling Enhancement  Hub and Spoke Planning Enhancements  OSFM integration – Phase 2  Time Phased Pricing  Personal Queries  Planner Workbench Enhancements  Organization Specific Conditions  Managing VMI Supplies in Planners Workbench Advanced Supply Chain Planning Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
Advanced Planning  Respect Safety Stock Targets  Safety Stock Calculation Enhancements  Plan Start date in the Future  User Interface Enhancements  Analysis Workbench  Budget Constraints  Configure to Order Enhancements  Combined Item-Product Family ATP Shipping/Receiving/Carrier/Supplier Capacity Calendars  Honoring ASCP Sales Order Rescheduling Recommendations  Improve ATP Performance Based on Summarized Data  Honor Plan Option: Enforce Purchasing Lead Time Constraints Inventory Optimization Global Order Promising Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
Advanced Planning  Customer – Facing VMI  Customer Consigned VMI  Supplier – Facing VMI Enhancements  Collaboration for ATO Models  Publish Safety Stock to CP  Consider Ownership of Outbound Logistics during Collaboration  Horizontal Plan Bucketing  Enhanced Flagging of Potential Late Orders  Support for Multi-Company Collaborative Planning  Export Data in Import Format  Accurate Supply / Demand Exceptions with Non-uniform Time Buckets  Notify Trading partners when Publishing Suppliers and Demands Replace Previous Supply Commits and Order Forecasts Support Search by Item Category or Buyers Code Collaborative Planning Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
Highlighted New Functionality  ASCP  Planner Workbench Enhancements  Global Forecasting  Demand Planning  Forecast of Service Parts Usage  Oracle 9iR2 OLAP  Inventory Optimization  Analysis Workbench Global Order Promising  Configure to Order enhancements Collaborative Planning  Customer VMI / Consigned
New Functionality Advanced Planning
DP: Global Forecasting Definition Global forecasting allows you to define forecasts without the context of a shipment organization. Needs / Issues Many businesses which have multiple shipping facilities, distribution centers, and manufacturing facilities do not usually know the demand fulfilling facility while they prepare and analyze forecasts. Solution • Global forecasting allows you to define forecasts without the context of a shipment organization. This is done in Oracle Demand Planning. Forecasts can have reference to ship-to entities such as customer site and zone. You can choose a ship-to consumption level in ASCP. The forecasts from Oracle Demand Planning fed in as demand schedules can be consumed without any reference to a shipment organization. You can use sourcing rules to distribute consumed forecasts and sales orders to appropriate shipment organizations. Benefits The demand fulfillment organization can be changed to take advantage of current supply conditions and constraints which makes effective use of existing supplies across multiple shipping organizations More accurate forecast consumption.
Global Forecasting Description Assembly - Plant 1 Orlando Assembly - Plant 2 San Francisco Subassembly plant Austin Parts plant Los Angeles Contract manufacturer Asia Forecasts Material flow Forecasts  End items ship from two assembly plants  Forecasts in assembly plants cannot be predetermined  Forecasts need to be provided to assembly plants Customers
Global Forecasting  Prepare Forecasts without the context of a shipping location (org)  Forecasts are consumed at a global level  Forecasts are assigned to shipping orgs with a new Forecast Distribution assignment set
Global Forecast Definition Description Zone Customer Zone Customer Customer Site Demand Class Global (Item) Global Forecast Organization 1 Organization 2 Organization 3 Ship from locations Ship to Forecast distribution assignment set Consume forecasts with respect to ship to Ship to and ship from for global forecasts
Ship To location set to “All Organizations” Global Forecasting in Demand Planning
Global Forecast Consumption is done in ASCP Consumption level in plan options, choose Zone for Global consumption Consumption level based on DP scenario ZONE
Distribute Global Forecasts and Sales Orders  The following levels of sourcing assignments are now supported – Item-Instance – Instance – Category-Instance – Instance-Zone – Instance-Customer-Zone  A new Forecast Distribution Assignment set is created to hold sourcing scheme for distributing forecast  Sourcing rules to distribute the sales orders are specified in regular assignment sets
Distribute Global Forecasts is done in ASCP Assign a Forecast Distribution Assignment Set to a plan
ASCP: Planners Workbench Enhancements Definition The planners workbench has been enhanced to provide planners with increased visibility into all the critical information at once. Needs / Issues Planners need the ability to look at work in a way that makes sense to them. Storing and reusing queries can increase an employee productivity Planners to need access collaboration information while working in the Planner Workbench: Solution Planner Workbench navigation improvements View all information at once (removal of tabs) Store multiple preferences to view Horizontal Plan Planner Workbench queries and improved analysis Define personal queries to use as “to do” lists Launch the workbench with a default to do list Perform comprehensive pegging analysis (peg up, peg down, backward, forward) Planner Workbench collaboration enhancements View VMI supply information Benefits Increase visibility of critical issues by the planner By seeing all the critical issues better decisions can be made By allowing customizations, planners can focus on specific parts of the business
Removal of Tabs  Previously, planners could not view all critical information at the same time  Previously, planners could not drill down from windows like the Supply Chain Bill  Added key icons to improve navigation 11i.10 11i.9 and prior
Quick Navigation (Context Sensitive) Query short cuts Access Horizontal Plan Access Supply-Demand Access Exceptions Access Item Details Access Gantt Chart Execute Other Actions
Horizontal Plan Preference Sets  Use Preference Sets to quickly save and display different views of the Horizontal Plan  Designate one Preference Set as your default one  Not all users now share the same pref set Use right mouse click to select a preference view for the Horizontal Plan drilldown
Personal and Public Queries Description  Planners can define “to do” lists via queries – When executing a query, a list is presented that a planner can execute upon  Queries are grouped by type – Item – Resource – Exception – Supplier  Query results are persistent over multiple PWB sessions, yet operate in the context of a plan – Rerun queries only when plans have been rerun – Select a plan when running a query
Create/Maintain Query Save Query Execute Query Personal and Public Queries  The Queries tab can be set as the default tab in the User Preferences  The PWB can automatically execute one default query upon launch, as defined in the User Preferences – Example: launch the PWB and show the most critical items, resources, or exceptions to work on New: Queries tab
Demand Planning: 9iR2 of Database Definition 9iR2 of the database is used to for the OLAP engine Needs / Issues Improve administration Improve speed of data transfer Solution The Express Engine is embedded in the RDBMS as Analytic Workspaces OLAP engine is part of the standard application installation and patching process Architecture change requires upgrading to or installation of the Oracle 9i Release 2 database Tools are available to transfer data, plans, reports Benefits Easy to administer Oracle RDBMS tools (Database Backup & Recovery, Real Application Clusters etc.) will work with Oracle Demand Planning. Uses Oracle Enterprise manager Improved data transfer performance
Oracle 9i Release 2 for OLAP Description  The Express Engine is embedded in the RDBMS as Analytic Workspaces – No separate Express database  OLAP engine is part of the standard application installation and patching process  Architecture change requires upgrading to or installation of the Oracle 9i Release 2 database  Tools are available to transfer data, plans, reports
DP: Forecasting Spare Parts Definition Original equipment manufacturers (OEM), field service organizations, asset operators, and part distributors all must estimate future demand of service parts. Needs / Issues The demand of service parts is dependent on several factors such as: 1. Service parts consumption or usage history 2. Supersession and upgrade of service parts 3. Products returned for repair or replacement Solution • Oracle Field Service for Debrief to record item usage • Oracle Depot repair for linking internal work to a service request • Oracle Order management to manage returns • Oracle Demand planning to do the analysis Benefits  Better forecasting improves parts availability while reducing the overall carrying cost of service inventory
Service Parts Forecasting 1. Usage forecasting  Project historical consumption of service parts 2. Returns forecasting  Project defective product returns  Project defective service part returns 3. Supersession forecasting  Estimate demand of new service part which supersedes an existing service part
Service Parts Forecasting Description – Onsite Repair Demand Planning Inventory Optimization Customers Plan service parts inventory per service level and budget constraints Forecast service parts demand Debrief usage (consumption) of service parts and return of defective parts - Service parts usage history - Service parts return history Service request Service parts demand forecast and forecast errors Advanced Supply Chain Planning Plan supply of service parts Safety Stock Field Service Engineer Service parts demand forecast Field Service
Service Parts Forecasting Description – Off-site Repair Demand Planning Inventory Optimization Customers Plan service parts inventory per service level and budget constraints Forecast service parts demand to repair estimated product returns Record return of defective products and service parts consumed for their repair - Service parts usage history - Product return history Defective product returns Service parts demand forecast and forecast errors Advanced Supply Chain Planning Plan supply of service parts Safety Stock Service parts demand forecast Repaired product shipments Depot Repair/ WIP/ Order Management
Inventory Optimization Workbench Definition Analysis Workbench provides tactical managers the tools they need to analyze budgets, inventory levels, costs and revenue to make inventory policy decisions Needs / Issues Customers need a way to quickly and easily make the best tactical inventory decisions possible. Solution • Analyze critical data to make inventory policy decisions in a single Analysis Workbench Analyze data at aggregate and detailed level Compare multiple plans Benefits Ability to quickly analyze data •Evaluate all aspects of the plan with drill downs •Ability to view data in many dimensions •Improved planner productivity •Reduce inventory investment through postponement analysis and savings
Analysis Workbench  The Analysis Workbench provides answers for the following key questions: Profit versus Service Level Analysis Postponement Analysis Service Level Breakdown Revenue and Cost Breakdown Safety Stock Analysis Budget Analysis What is my most profitable service level? Am I achieving my target service levels? How much inventory do I have to carry for a target service level? Where should I position my inventories? How is my inventory budget allocated? What is my cost breakdown? Key Questions Answers
Analysis Workbench Sample Analysis Process Flow How much budget do I have? What is planned inventory value compared to budget? Are target service levels met? Are inventories targeted for the right market segment? Are inventories allocated to achieve target service levels ? How much will it cost to achieve the target service levels ? Inventory Budget Service Level Breakdown Safety Stock and Service Level Cost Breakdown Are inventories allocated to achieve target service levels ? Safety Stock and Service Level Planner Workbench Detailed supply and demand analysis
GOP- CTO enhancements Definition GOP will now be able to “free up” supplies and resources when unscheduling sales orders for configurations Needs / Issues Configure to Order business environments are characterized by frequent changes in the product configuration prior to shipment The order promising systems must be able to plan the availability of supplies before and after configuration If the customer changes the configuration, Order Promising must be able to unschedule the existing order such that resources and materials can be used by subsequent orders Solution • Real supplies (WIP jobs, purchase orders, on hand) are available for subsequent orders •Planned orders for configured items are de- composed to “free up” critical resources and components Benefits  Improved order promising for configured products Match existing supply of configurations Restrict to valid sources
Change Management Job 1 Job 2 Planned Order 1 Sales order Table Top Model*19395 Planned Order 2 Planned Order 3 ASCP plans a sales order for a configuration by pegging existing supplies and creating planned orders based on material and resource constraints
Change Management Description In scheduling new orders, GOP considers these supplies and their associated component and resource requirements committed to this sales order Inventory - Oval Table Top Planned order 5 Leg Assembly Model*69321 Resource R1 – 1 HR Resource R2 – 2 HR Job 1 Job 2 Planned Order 1 Sales order Table Top Model*19395 Planned Order 2 Planned Order 3
Change Management Description Inventory - Oval Table Top Planned order 5 Leg Assembly Model*69321 Resource R1 – 1 HR Resource R2 – 2 HR Job 1 Job 2 Planned Order 1 Sales order Table Top Model*19395 Planned Order 2 Planned Order 3 X If you unschedule the sales order, GOP removes it from the plan Offset supply Offset supply Offset supply R1 1 HR R2 2 HR GOP does not disrupt the original plan’s pegging or data, but effectively adds equivalent supplies and resource availability for new order scheduling
Customer VMI / Consignment Definition You manage inventory at your customer’s sites, monitor on-hand status and issue replenishments. Material ownership transfers to the customer upon receipt. As well as the ability to consign inventory at customer sites (pay on use) Needs / Issues Monitor your customer’s inventory for replenishment opportunities. Support pay on delivery Support consigned inventory Pay on use. Solution • Oracle Order Management, Blanket Sales agreements •Oracle Inventory for min-max levels as well as days of supply •Demand planning for forecasting •Collaborative Planning Benefits  Improved customer service levels (fill rates). Proactively manage replenishments for your customers Increased predictability, by reduce impact of bullwhip effect Reduced lead times by Pre-position replenishment based on forecast Increased customer loyalty by Reduce inventory and provide value-added services for your customers
Supports execution for pay-on-receipt Customer You VMI Agreement - Receive items Pay on receipt Ship items VMI Agreement Post on hand information VMI with Customers
Define customer organizations Define blanket agreements Define VMI items and parameters SETUP Run VMI plan to generate replenishment orders PROCESS Release authorization required? Approve replenishment orders Pick and ship material Create invoice Customer receives material Customer provides consumption advice (updates on-hand) Yes No Automated process Create sales orders VMI with Customers Setup and Process Flow
1. Define customer organization – Create an inventory organization to represent each customer’s inventory stocking location – For example:  Home Depot store if you’re a supplier to Home Depot  Dell’s hub if you’re a disk-drive manufacturer VMI with Customers Setup
2. Define blanket sales agreement – Item specific – Item category specific – Customer specific VMI with Customers Setup
Replenishment method and parameters Forecast type Assign items to customer organization VMI with Customers Setup
Accept (or edit) replenishment quantity Release VMI with Customers Process Flow
Consigned VMI with Customers Supports execution for pay-on-use Customer You VMI Agreement - Receive items Pay on use Ship items VMI Agreement Post on hand information
1. Define customer organization – Create an inventory organization to represent each customer’s inventory stocking location – For example:  Home Depot store if you’re a supplier to Home Depot  Dell’s hub if you’re a disk-drive manufacturer Consigned VMI with Customers Setup
2. Define blanket sales agreement – Item specific – Item category specific – Customer specific Consigned VMI with Customers Setup
Assign items to customer organization Replenishment method and parameters Forecast type Consigned VMI with Customers Setup
Accept (or edit) replenishment quantity Release Consigned VMI with Customers Process Flow
 Internal sales orders and purchase requisitions are created automatically Consigned VMI with Customers Process Flow
 Run VMI plan (conc. program: VMI replenishment engine) – If [on-hand + open orders + in transit] < minimum quantity then replenishment orders are generated – Optionally, generate VMI replenishment notifications  Automatically or manually release replenishment orders – Create internal sales orders in Order Management  Run pick release and ship confirm  Receive material in customer organization  Customer enters consumption advice when material is used, which triggers – Creation of a sales order  Order Type = Bill only with inventory consumption – Decrease of on-hand in customer organization Consigned VMI with Customers Process Flow
Customer posts consumption advice Consigned VMI with Customers Process Flow
Advanced Planning Impact: Analyst Remarks and Competition
Competitive Attack Points Competitor Attack Information • Inventory Optimization SAP has no peer product. IO should be introduced to any company that is trying to eliminate inventory through postponement (pushing it back up the supply chain). • Supply chain planning for to- order products SAP has a poorly architected and complex product that has performance issues. Oracle has strengths in ease of use, scalability and extended supply networks. • Supplier collaboration and event management SAP has 3 overlapping solutions all with different architectures. Oracle provides collaboration and event management in one state of the art integrated solution.
Sell Up-Sell Cross-Sell
Oracle Advanced Planning Cross-Sell Messaging for Existing Oracle Customers If Customer has … Sell them Planning for … Why – What is the Benefit Field Service Demand Planning for Spares Forecasting Customers having problems is availability of spare parts, or are carrying too much buffer stock. Manufacturing ASCP Unconstrained Provides Multi Plant planning, more intuitive interface ACSP Demand Planning Would improve forecast accuracy and Sales and Operation planning. ASCP / ODP Collaborative Planning CPFR with trading partners Demand Planning Constraint Based Planning / GOP Strong order promising Demand Planning Inventory Optimization Stock positioning strength
Customer Stories
A Few Oracle Marketing Family Customers
What Oracle Planning Customers are Achieving…  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.
High Tech Automotive Semi-Conductor Oracle Advanced Planning Reference Customers by Industry Telecom Industrial Aerospace and Defense
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 11i US Europe Advanced Planning 11i Orcl 11.0 China Japan Malaysia Orcl 11.0 Orcl 11.0 Resource and material constrained Production Plan (MPS) Manufacturing Sites Distribution 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.
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 COMPANY  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 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 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 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.
In Summary
Key Takeaways  Advanced Planning is a Proven and Complete planning solution with over 600 customers on multiple products, across a wide variety of industries -Large-scale, complex, worldwide deployments  Global Forecasting will add value to our Retail and Distribution focused customers and prospects, helping them in improving their forecast accuracy  Up taking of Demand Planning will require 9iR2 or higher of database  Spare Parts Forecasting in now available to our customers using Services. Allowing customers to include spares in the overall forecasting function.  Customer facing VMI and Consignment VMI will allow our customers to provide more services their customers
Cocktail Reception

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11I10PLANNING.pptx

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    Applications for yourIndustry Information for your Business Oracle 11i10 Planning Family Alden Huff, IBU Application Specialist
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    Agenda  Key Takeaways Product Family Footprint  New Products  Highlighted New Functionality  Cross-Sell Up-Sell  Analyst Remarks & Competition  Customer Stories  Summary-Takeaways
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    Key Takeaways  AdvancedPlanning is a Proven and Complete planning solution with over 600 customers on multiple products, across a wide variety of industries -Large-scale, complex, worldwide deployments  Global Forecasting will add value to our Retail and Distribution focused customers and prospects, helping them in improving their forecast accuracy  Up taking of Demand Planning will require 9iR2 or higher of database  Spare Parts Forecasting in now available to our customers using Services. Allowing customers to include spares in the overall forecasting function.  Customer facing VMI and Consignment VMI will allow our customers to provide more services their customers
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    Quick look:  AdvancedPlanning – Over 600 Customers using multiple products – Products being leveraged across a wide variety of industries – Large-scale, complex, worldwide deployments
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    Analytic Applications Marketing Applications Pull Through Apps DBIfor Planning Discrete Manufacturing, Process Manufacturing, Isupplier Portal, Ebusiness Suite, Field Service, Depot Repair Manufacturing Scheduling Demand Planning Collaborative Planning Oracle Advanced Planning Global Order Promising Inventory Optimization Advanced Supply Chain Planning Transportation Planning
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    Advanced Planning  ForecastService Parts Usage  Forecast Returns  Supersession Forecasting  Round Fractional Quantities  Forecast by Demand Class  Support for Pick to Order Models  Forecasting of Key Configuration  Calculate Planning % Enhancements  Oracle Database 9iR2 OLAP  Line of Business Specific DP  Consumable Mtl Planning for CMRO  Acquire Sales History from Customer  Forecast Based on Scheduled Arrival Date  Internal Collaboration Enhancements  New Product Intro Event Allocations  Up-sell / Cross-Sell Substitution items  Folders for Measures  Automate Submissions Process  Multiple Document Interface  Preserve Forecast Adjustments  Display Backcast  Global Forecasting Demand Planning Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
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    Advanced Planning  GlobalOrder Forecasting  Selection of Outbound Ship Method  Configure to Order Enhancements  Co-Product Planning Enhancements  Incremental Supplies form Supplier or Internal Org  Minimum Transfer Qty across Orgs  Consumable Materials Planning for CMRO operations  Display of Suppliers Modeled as Org  Purchase Order to Sales Order Linking  Forecast Distribution Assignment Set  Prevent Supplier Capacity spreading  Plan to Request, Promise or Schedule Date  Master Scheduling Enhancement  Hub and Spoke Planning Enhancements  OSFM integration – Phase 2  Time Phased Pricing  Personal Queries  Planner Workbench Enhancements  Organization Specific Conditions  Managing VMI Supplies in Planners Workbench Advanced Supply Chain Planning Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
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    Advanced Planning  RespectSafety Stock Targets  Safety Stock Calculation Enhancements  Plan Start date in the Future  User Interface Enhancements  Analysis Workbench  Budget Constraints  Configure to Order Enhancements  Combined Item-Product Family ATP Shipping/Receiving/Carrier/Supplier Capacity Calendars  Honoring ASCP Sales Order Rescheduling Recommendations  Improve ATP Performance Based on Summarized Data  Honor Plan Option: Enforce Purchasing Lead Time Constraints Inventory Optimization Global Order Promising Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
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    Advanced Planning  Customer– Facing VMI  Customer Consigned VMI  Supplier – Facing VMI Enhancements  Collaboration for ATO Models  Publish Safety Stock to CP  Consider Ownership of Outbound Logistics during Collaboration  Horizontal Plan Bucketing  Enhanced Flagging of Potential Late Orders  Support for Multi-Company Collaborative Planning  Export Data in Import Format  Accurate Supply / Demand Exceptions with Non-uniform Time Buckets  Notify Trading partners when Publishing Suppliers and Demands Replace Previous Supply Commits and Order Forecasts Support Search by Item Category or Buyers Code Collaborative Planning Yellow = Highlighted Functionality Blue Circles = Industry Specific Enhancements = Totally New Functionality
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    Highlighted New Functionality ASCP  Planner Workbench Enhancements  Global Forecasting  Demand Planning  Forecast of Service Parts Usage  Oracle 9iR2 OLAP  Inventory Optimization  Analysis Workbench Global Order Promising  Configure to Order enhancements Collaborative Planning  Customer VMI / Consigned
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    DP: Global Forecasting Definition Globalforecasting allows you to define forecasts without the context of a shipment organization. Needs / Issues Many businesses which have multiple shipping facilities, distribution centers, and manufacturing facilities do not usually know the demand fulfilling facility while they prepare and analyze forecasts. Solution • Global forecasting allows you to define forecasts without the context of a shipment organization. This is done in Oracle Demand Planning. Forecasts can have reference to ship-to entities such as customer site and zone. You can choose a ship-to consumption level in ASCP. The forecasts from Oracle Demand Planning fed in as demand schedules can be consumed without any reference to a shipment organization. You can use sourcing rules to distribute consumed forecasts and sales orders to appropriate shipment organizations. Benefits The demand fulfillment organization can be changed to take advantage of current supply conditions and constraints which makes effective use of existing supplies across multiple shipping organizations More accurate forecast consumption.
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    Global Forecasting Description Assembly -Plant 1 Orlando Assembly - Plant 2 San Francisco Subassembly plant Austin Parts plant Los Angeles Contract manufacturer Asia Forecasts Material flow Forecasts  End items ship from two assembly plants  Forecasts in assembly plants cannot be predetermined  Forecasts need to be provided to assembly plants Customers
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    Global Forecasting  PrepareForecasts without the context of a shipping location (org)  Forecasts are consumed at a global level  Forecasts are assigned to shipping orgs with a new Forecast Distribution assignment set
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    Global Forecast Definition Description ZoneCustomer Zone Customer Customer Site Demand Class Global (Item) Global Forecast Organization 1 Organization 2 Organization 3 Ship from locations Ship to Forecast distribution assignment set Consume forecasts with respect to ship to Ship to and ship from for global forecasts
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    Ship To locationset to “All Organizations” Global Forecasting in Demand Planning
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    Global Forecast Consumption isdone in ASCP Consumption level in plan options, choose Zone for Global consumption Consumption level based on DP scenario ZONE
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    Distribute Global Forecastsand Sales Orders  The following levels of sourcing assignments are now supported – Item-Instance – Instance – Category-Instance – Instance-Zone – Instance-Customer-Zone  A new Forecast Distribution Assignment set is created to hold sourcing scheme for distributing forecast  Sourcing rules to distribute the sales orders are specified in regular assignment sets
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    Distribute Global Forecasts isdone in ASCP Assign a Forecast Distribution Assignment Set to a plan
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    ASCP: Planners WorkbenchEnhancements Definition The planners workbench has been enhanced to provide planners with increased visibility into all the critical information at once. Needs / Issues Planners need the ability to look at work in a way that makes sense to them. Storing and reusing queries can increase an employee productivity Planners to need access collaboration information while working in the Planner Workbench: Solution Planner Workbench navigation improvements View all information at once (removal of tabs) Store multiple preferences to view Horizontal Plan Planner Workbench queries and improved analysis Define personal queries to use as “to do” lists Launch the workbench with a default to do list Perform comprehensive pegging analysis (peg up, peg down, backward, forward) Planner Workbench collaboration enhancements View VMI supply information Benefits Increase visibility of critical issues by the planner By seeing all the critical issues better decisions can be made By allowing customizations, planners can focus on specific parts of the business
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    Removal of Tabs Previously, planners could not view all critical information at the same time  Previously, planners could not drill down from windows like the Supply Chain Bill  Added key icons to improve navigation 11i.10 11i.9 and prior
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    Quick Navigation (ContextSensitive) Query short cuts Access Horizontal Plan Access Supply-Demand Access Exceptions Access Item Details Access Gantt Chart Execute Other Actions
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    Horizontal Plan PreferenceSets  Use Preference Sets to quickly save and display different views of the Horizontal Plan  Designate one Preference Set as your default one  Not all users now share the same pref set Use right mouse click to select a preference view for the Horizontal Plan drilldown
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    Personal and PublicQueries Description  Planners can define “to do” lists via queries – When executing a query, a list is presented that a planner can execute upon  Queries are grouped by type – Item – Resource – Exception – Supplier  Query results are persistent over multiple PWB sessions, yet operate in the context of a plan – Rerun queries only when plans have been rerun – Select a plan when running a query
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    Create/Maintain Query Save Query ExecuteQuery Personal and Public Queries  The Queries tab can be set as the default tab in the User Preferences  The PWB can automatically execute one default query upon launch, as defined in the User Preferences – Example: launch the PWB and show the most critical items, resources, or exceptions to work on New: Queries tab
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    Demand Planning: 9iR2of Database Definition 9iR2 of the database is used to for the OLAP engine Needs / Issues Improve administration Improve speed of data transfer Solution The Express Engine is embedded in the RDBMS as Analytic Workspaces OLAP engine is part of the standard application installation and patching process Architecture change requires upgrading to or installation of the Oracle 9i Release 2 database Tools are available to transfer data, plans, reports Benefits Easy to administer Oracle RDBMS tools (Database Backup & Recovery, Real Application Clusters etc.) will work with Oracle Demand Planning. Uses Oracle Enterprise manager Improved data transfer performance
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    Oracle 9i Release2 for OLAP Description  The Express Engine is embedded in the RDBMS as Analytic Workspaces – No separate Express database  OLAP engine is part of the standard application installation and patching process  Architecture change requires upgrading to or installation of the Oracle 9i Release 2 database  Tools are available to transfer data, plans, reports
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    DP: Forecasting SpareParts Definition Original equipment manufacturers (OEM), field service organizations, asset operators, and part distributors all must estimate future demand of service parts. Needs / Issues The demand of service parts is dependent on several factors such as: 1. Service parts consumption or usage history 2. Supersession and upgrade of service parts 3. Products returned for repair or replacement Solution • Oracle Field Service for Debrief to record item usage • Oracle Depot repair for linking internal work to a service request • Oracle Order management to manage returns • Oracle Demand planning to do the analysis Benefits  Better forecasting improves parts availability while reducing the overall carrying cost of service inventory
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    Service Parts Forecasting 1.Usage forecasting  Project historical consumption of service parts 2. Returns forecasting  Project defective product returns  Project defective service part returns 3. Supersession forecasting  Estimate demand of new service part which supersedes an existing service part
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    Service Parts Forecasting Description– Onsite Repair Demand Planning Inventory Optimization Customers Plan service parts inventory per service level and budget constraints Forecast service parts demand Debrief usage (consumption) of service parts and return of defective parts - Service parts usage history - Service parts return history Service request Service parts demand forecast and forecast errors Advanced Supply Chain Planning Plan supply of service parts Safety Stock Field Service Engineer Service parts demand forecast Field Service
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    Service Parts Forecasting Description– Off-site Repair Demand Planning Inventory Optimization Customers Plan service parts inventory per service level and budget constraints Forecast service parts demand to repair estimated product returns Record return of defective products and service parts consumed for their repair - Service parts usage history - Product return history Defective product returns Service parts demand forecast and forecast errors Advanced Supply Chain Planning Plan supply of service parts Safety Stock Service parts demand forecast Repaired product shipments Depot Repair/ WIP/ Order Management
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    Inventory Optimization Workbench Definition AnalysisWorkbench provides tactical managers the tools they need to analyze budgets, inventory levels, costs and revenue to make inventory policy decisions Needs / Issues Customers need a way to quickly and easily make the best tactical inventory decisions possible. Solution • Analyze critical data to make inventory policy decisions in a single Analysis Workbench Analyze data at aggregate and detailed level Compare multiple plans Benefits Ability to quickly analyze data •Evaluate all aspects of the plan with drill downs •Ability to view data in many dimensions •Improved planner productivity •Reduce inventory investment through postponement analysis and savings
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    Analysis Workbench  TheAnalysis Workbench provides answers for the following key questions: Profit versus Service Level Analysis Postponement Analysis Service Level Breakdown Revenue and Cost Breakdown Safety Stock Analysis Budget Analysis What is my most profitable service level? Am I achieving my target service levels? How much inventory do I have to carry for a target service level? Where should I position my inventories? How is my inventory budget allocated? What is my cost breakdown? Key Questions Answers
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    Analysis Workbench Sample AnalysisProcess Flow How much budget do I have? What is planned inventory value compared to budget? Are target service levels met? Are inventories targeted for the right market segment? Are inventories allocated to achieve target service levels ? How much will it cost to achieve the target service levels ? Inventory Budget Service Level Breakdown Safety Stock and Service Level Cost Breakdown Are inventories allocated to achieve target service levels ? Safety Stock and Service Level Planner Workbench Detailed supply and demand analysis
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    GOP- CTO enhancements Definition GOPwill now be able to “free up” supplies and resources when unscheduling sales orders for configurations Needs / Issues Configure to Order business environments are characterized by frequent changes in the product configuration prior to shipment The order promising systems must be able to plan the availability of supplies before and after configuration If the customer changes the configuration, Order Promising must be able to unschedule the existing order such that resources and materials can be used by subsequent orders Solution • Real supplies (WIP jobs, purchase orders, on hand) are available for subsequent orders •Planned orders for configured items are de- composed to “free up” critical resources and components Benefits  Improved order promising for configured products Match existing supply of configurations Restrict to valid sources
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    Change Management Job 1 Job2 Planned Order 1 Sales order Table Top Model*19395 Planned Order 2 Planned Order 3 ASCP plans a sales order for a configuration by pegging existing supplies and creating planned orders based on material and resource constraints
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    Change Management Description In schedulingnew orders, GOP considers these supplies and their associated component and resource requirements committed to this sales order Inventory - Oval Table Top Planned order 5 Leg Assembly Model*69321 Resource R1 – 1 HR Resource R2 – 2 HR Job 1 Job 2 Planned Order 1 Sales order Table Top Model*19395 Planned Order 2 Planned Order 3
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    Change Management Description Inventory -Oval Table Top Planned order 5 Leg Assembly Model*69321 Resource R1 – 1 HR Resource R2 – 2 HR Job 1 Job 2 Planned Order 1 Sales order Table Top Model*19395 Planned Order 2 Planned Order 3 X If you unschedule the sales order, GOP removes it from the plan Offset supply Offset supply Offset supply R1 1 HR R2 2 HR GOP does not disrupt the original plan’s pegging or data, but effectively adds equivalent supplies and resource availability for new order scheduling
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    Customer VMI /Consignment Definition You manage inventory at your customer’s sites, monitor on-hand status and issue replenishments. Material ownership transfers to the customer upon receipt. As well as the ability to consign inventory at customer sites (pay on use) Needs / Issues Monitor your customer’s inventory for replenishment opportunities. Support pay on delivery Support consigned inventory Pay on use. Solution • Oracle Order Management, Blanket Sales agreements •Oracle Inventory for min-max levels as well as days of supply •Demand planning for forecasting •Collaborative Planning Benefits  Improved customer service levels (fill rates). Proactively manage replenishments for your customers Increased predictability, by reduce impact of bullwhip effect Reduced lead times by Pre-position replenishment based on forecast Increased customer loyalty by Reduce inventory and provide value-added services for your customers
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    Supports execution forpay-on-receipt Customer You VMI Agreement - Receive items Pay on receipt Ship items VMI Agreement Post on hand information VMI with Customers
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    Define customer organizations Define blanket agreements DefineVMI items and parameters SETUP Run VMI plan to generate replenishment orders PROCESS Release authorization required? Approve replenishment orders Pick and ship material Create invoice Customer receives material Customer provides consumption advice (updates on-hand) Yes No Automated process Create sales orders VMI with Customers Setup and Process Flow
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    1. Define customer organization –Create an inventory organization to represent each customer’s inventory stocking location – For example:  Home Depot store if you’re a supplier to Home Depot  Dell’s hub if you’re a disk-drive manufacturer VMI with Customers Setup
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    2. Define blanket salesagreement – Item specific – Item category specific – Customer specific VMI with Customers Setup
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    Replenishment method and parameters Forecast type Assignitems to customer organization VMI with Customers Setup
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    Consigned VMI withCustomers Supports execution for pay-on-use Customer You VMI Agreement - Receive items Pay on use Ship items VMI Agreement Post on hand information
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    1. Define customer organization –Create an inventory organization to represent each customer’s inventory stocking location – For example:  Home Depot store if you’re a supplier to Home Depot  Dell’s hub if you’re a disk-drive manufacturer Consigned VMI with Customers Setup
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    2. Define blanket salesagreement – Item specific – Item category specific – Customer specific Consigned VMI with Customers Setup
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    Assign items to customerorganization Replenishment method and parameters Forecast type Consigned VMI with Customers Setup
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     Internal sales ordersand purchase requisitions are created automatically Consigned VMI with Customers Process Flow
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     Run VMIplan (conc. program: VMI replenishment engine) – If [on-hand + open orders + in transit] < minimum quantity then replenishment orders are generated – Optionally, generate VMI replenishment notifications  Automatically or manually release replenishment orders – Create internal sales orders in Order Management  Run pick release and ship confirm  Receive material in customer organization  Customer enters consumption advice when material is used, which triggers – Creation of a sales order  Order Type = Bill only with inventory consumption – Decrease of on-hand in customer organization Consigned VMI with Customers Process Flow
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    Customer posts consumption advice ConsignedVMI with Customers Process Flow
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    Competitive Attack Points CompetitorAttack Information • Inventory Optimization SAP has no peer product. IO should be introduced to any company that is trying to eliminate inventory through postponement (pushing it back up the supply chain). • Supply chain planning for to- order products SAP has a poorly architected and complex product that has performance issues. Oracle has strengths in ease of use, scalability and extended supply networks. • Supplier collaboration and event management SAP has 3 overlapping solutions all with different architectures. Oracle provides collaboration and event management in one state of the art integrated solution.
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    Oracle Advanced PlanningCross-Sell Messaging for Existing Oracle Customers If Customer has … Sell them Planning for … Why – What is the Benefit Field Service Demand Planning for Spares Forecasting Customers having problems is availability of spare parts, or are carrying too much buffer stock. Manufacturing ASCP Unconstrained Provides Multi Plant planning, more intuitive interface ACSP Demand Planning Would improve forecast accuracy and Sales and Operation planning. ASCP / ODP Collaborative Planning CPFR with trading partners Demand Planning Constraint Based Planning / GOP Strong order promising Demand Planning Inventory Optimization Stock positioning strength
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    A Few OracleMarketing Family Customers
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    What Oracle PlanningCustomers are Achieving…  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.
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    High Tech Automotive Semi-Conductor Oracle AdvancedPlanning Reference Customers by Industry Telecom Industrial Aerospace and Defense
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    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 11i US Europe Advanced Planning 11i Orcl 11.0 China Japan Malaysia Orcl 11.0 Orcl 11.0 Resource and material constrained Production Plan (MPS) Manufacturing Sites Distribution 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.
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    AT&T Wireless • Inventoryis down year over year while product line is much broader • Service level remains strong • Inventory volatility is dramatically reduced • Increased collaboration Benefits COMPANY  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 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 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 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.
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    Key Takeaways  AdvancedPlanning is a Proven and Complete planning solution with over 600 customers on multiple products, across a wide variety of industries -Large-scale, complex, worldwide deployments  Global Forecasting will add value to our Retail and Distribution focused customers and prospects, helping them in improving their forecast accuracy  Up taking of Demand Planning will require 9iR2 or higher of database  Spare Parts Forecasting in now available to our customers using Services. Allowing customers to include spares in the overall forecasting function.  Customer facing VMI and Consignment VMI will allow our customers to provide more services their customers
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