Oracle 12.1 New Products Sneak Peek

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2 <Insert Picture Here> Oracle 12.1 New Products Sneak Peek Patrick Elizondo Oracle Applications Sales Consultant

3 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle. 3

4 Oracle Advanced Planning Solution Complete, best-in-class e-business planning process platform Trading Partners Best in class Business Processes Supply Chain Demand driven Risk Management adaptive planning Real-Time S&OP Operational Excellence Multi-Enterprise Collaboration Role-based Portals Network Design Integrated Planning Functions Demand Sensing And Shaping Postponement Optimization Holistic Supply Planning Promise, Distribute, Replenish Preconfigured Worksheets and Workbenches Service Execute to plan Products Real-Time Demand Predictive Strategic Sales & Management Trade Inventory Network Optimization Operations & Advanced Planning & Optimization Planning Forecasting Optimization Platform Connectors Common planning data model WFL 12.1 FP * Order Production Collaborative Scheduling Promising Planning Supply Planning E1 * EBS * Service Parts Planning* Embedded Analytics Legacy ERP 4

5 Oracle Advanced Planning Solution Enables best-in-class processes that addresses key planning problems ADVANCED PLANNING BUSINESS PLANNING & PROCESS MGMT Business planning scenario mgmt & automation Business planning analysis dashboards RISK MANAGEMENT SALES AND OPERATIONS PLANNING Design profitable supply chain Mitigate risk for (un)planned events DEMAND SIGNAL MGMT Enables Retailer and Mfg-er collab. Demand and market intelligence Balance demand, supply, budgets Evaluate both strategic and tactical decisions SENSE AND SHAPE DEMAND Improve forecast accuracy thru better statistics Continuous consensus planning process New product introductions DISTRIBUTION AND SUPPLY PLANNING Rebalance inventory position at lowest cost Multi-facility constrained replenishment planning Distribution planning AFTER MARKET SERVICE PLANNING Multi-echelon service supply chain Simultaneous forecasting, replenishment, distrib. PROMOTION MANAGEMENT Run most profitable promotions Promotion lift analysis Execute promotions via Siebel(1) OPERATIONAL EXCELLENCE Integrated supply chain execution More accurately promise orders Supplier collaboration and VMI Integrated multi-method manufacturing execution Manage internal and external repair orders, and new buy parts, and part redistribution Plant level detailed scheduling 5 (1) Integration coming in May08 with Demantra 7.2.1

6 Oracle Advanced Planning Solution ADVANCED PLANNING BUSINESS and PROCESS MANAGEMENT RISK MANAGEMENT STRATEGIC NETWORK Design profitable supply chain and INVENTORY OPT. Mitigate risk for (un)planned events DEMAND SIGNAL MGMT DEMAND SIGNAL Enables Retailer and Mfg-er collab. REPOSITORY Demand and market intelligence ADVANCED PLANNING Business planning scenario mgmt & automation COMMAND CENTER Business planning analysis dashboards SALES AND SALES OPERATIONS PLANNING DEMANTRA AND OPERATIONS Balance demand, supply, budgets PLANNING and SNO Evaluate both strategic and tactical decisions SENSE AND SHAPE DEMAND DEMANTRA DEMAND Improve forecast accuracy thru better statistics MANAGEMENT and Continuous consensus planning process ADVANCED FORECASTING New product introductions DISTRIBUTION AND SUPPLY PLANNING ADVANCED CHAIN Rebalance inventory SUPPLY position at lowest cost Multi-facility constrained replenishment planning PLANNING Plant level detailed scheduling AFTER MARKET SERVICE Multi-echelon supplyplanning chain SERVICEservice PARTS Simultaneous forecasting, replenishment, distrib. PROMOTION DEMANTRAMANAGEMENT PREDICTIVE Run most profitable promotions TRADE PLANNING and Promotion lift analysis OPTIMIZATION Siebel integration (May08) OPERATIONAL EXCELLENCE MANUFACTURING Integrated supply chain execution OPERATIONS CENTER More accurately promise orders COLLABORATIVE Supplier collaboration and VMI PLANNING, Integrated multi-method manufacturing GLOBALexecution ORDER Manage internal and external PROMISING and repair orders, and new buy parts, and part PRODUCTION redistribution SCHEDULING Compare plan to actual performance 6

7 <Insert Picture Here> Oracle Manufacturing Operations Center Foundation for Continuous Improvement in Manufacturing Operations Amit K. Singh Product Strategy Director Oracle Corp.

8 Agenda Background Manufacturing Operations Center Overview Strategic Implementation Program <Insert Picture Here> Software Demo 8

9 Shop Floor to Top Floor Corporate Bridging The Great Divide ERP and Back Office Applications Relatively Stable world, Standard Systems Driven by Plans and Schedules Inside A Plant Manufacturing Operations Center Mfg Operations White Space Real-time, Exception Prone World Dominated by Older Generation Legacy Systems Distributed Plant Systems, Automation & Control 9

10 Oracle Manufacturing Operations Center ERP Systems Schedules Item Master Data Production Actuals Contextualization Engine Distributed Plant Systems Manufacturing Operations Data Model (ISA-95) Role-Based Dashboards PLC Cross-Plant KPIs Historical Trends Plant Mgr / VP of Mfg Plant-Specific KPIs Real-Time Updates Production Manager Shop Floor Communication Drivers Device-Generated Data Automation & Process Control Systems Users Corporate BI - MES - Quality - Cost Mgmt CNC Machines DCS SCADA Systems Advanced Human Process Machine Control Interface The Foundation for Continuous Improvement in Manufacturing Operations 10

11 Single Repository for Mfg Operations Data Provide Consistent Information for All Manufacturing Users Granularity Enterprise Level - Products - Orders - Plans / Schedules Plant Level - Work Orders - Batches - Mfg Routing Equipment Level - Availability - Status - Output - Quality - Parameters Device Level - I/O Tags - Sensor ID Generic data model supports hierarchical structure for reporting or building KPIs and metrics - Leverages ISA-95 standard reference model Manufacturing Operations Data Model - Out-of-the-box hierarchical dimensions: time, product, and equipment - Flexible and configurable Open and extensible to meet the requirements of different industries - Capture process variables - Capture additional parameters for Item, Equipment, and Work Orders 11

12 Oracle Manufacturing Operations Center Real-time Performance Monitoring from Shop Floor to Enterprise OEE is Low for the Plant Equipment with Excessive Downtime Identify rootcause 12

13 Mfg Integration & Intelligence Opportunity Production efficiency improvement -- 25% Cycle time improvement to 20% Increase in asset utilization -- 10% Annual payback potential -- 10x Plus Eliminate discrepancy between manual data and machine data Perform preventive maintenance based on machine actuals vs. best guess Achieve visibility for lean and six-sigma programs Progressively eliminate on-hold and other production issues Gain competitive edge by sharing quality information with customers Source: AMR Research,

14 Implement Based on Business Priorities Generate Value Regardless of Implementation Scope Tactical OEE for Line or Cell Manage Plant-Wide Performance Manage Network of Plants or Fleet of Assets Build common manufacturing operations architecture Value Provide decision support for executives and supervisors Move from emphasis on local execution to global coordination Move emphasis to service levels and on-time delivery Identify opportunities for streamlining operations Focus on line and machine performance Local Scope Global 14

15 Oracle Manufacturing Operations Center Consistent mfg information for all users Convert equipment data into useful business info Ensure rapid response to manufacturing issues Contextualize Plant Floor Data and Synchronize with ERP Deliver performance metrics & trends by role Easily build dashboards to your unique needs Identify performance improvement opportunities Provide Real-Time Intelligence for Plant Operations Leverage existing plant IT infrastructure Enable gradual upgrade of plant systems Simplify IT support for your core mfg strategy Leverage Next Generation Manufacturing Operations Architecture The Foundation for Continuous Improvement in Manufacturing Operations 15

16 MOC Demo: Overall Equipment Effectiveness OEE = Availability Ratio X Efficiency Ratio * First Pass Yield Calendar Time Planned Available Time Preventive Maintenance Actual Available Time Unplanned Downtime Expected Run Time Breaks, etc. Actual Run Time Unscheduled breaks, wait time Efficiency Loss Effective Run Time OEE Time Quality Loss Quality Losses OEE and Production Loss Analysis Speed Losses Downtime Losses 16 16

17 <Insert Picture Here> Oracle Advanced Planning Command Center 12.1 Enabling business scenario planning and process management Scott Malcolm Director

18 The Great Information Divide Still Exists How do the supply chain executives get access to actionable information? Volatility Compliance Chaos Virtualization Uncertainty Risk Globalization Consolidation s, Phone calls Operational Efficiency Risk management and Compliance Continuous Innovation Spreadsheets, Reports Manual Co-ordination Across Functional Groups Typically, they don t have access to correlated and aggregate planning data unless it is presented in a comprehensive spreadsheet or on paper Often, the decision is made to design and build a custom data warehouse that has no integration to the source of the data and that is a limited representation of the data Supply chain executives have no time to learn power user interfaces that we developed for purposed planning applications 18

19 Oracle Advanced Planning Command Center Enables cross-discipline planning and process management Volatility Compliance Chaos Virtualization Uncertainty Risk Globalization Consolidation Pre-built, configurable Dashboards and Reports Operational Efficiency Risk Management and Compliance Continuous Innovation Scenario, Activity and Process Management Preconfigured Analytics Model Planning Workbenches Provides integrated analytics combined with process and activity management enable a more structured approach to analysis and decision making for processes that span planning disciplines Everyone looks at the same picture Enables informed decision making through the ability to correlate data quickly and the provided drill downs to the lowest level of detail Pre-built and fully integrated Get started quickly for quick ROI 19

20 Oracle Advanced Planning Command Center Key components Analyze Pre-Built Dashboards and Reports Analytical Data Analyze and compare scenarios Analyze and compare plans Execute and assign plans to scenarios Assign and monitor activities Archive plans Plan Plans and Archived Plans Scenario and Activity Management Preconfigured Planning Processes Demand Web Service enabled Planning Processes Inventory Supply Orchestrate Execute automated processes 20

21 Oracle Advanced Planning Command Center Key capabilities Provide planning analytics to supply chain decision makers Executive level self-service pre-built dashboards Easily tailor to company specific roles Drill across all relevant business dimensions (business unit, plant, product category, customer, supplier, sales channel) Get the right answers by combining data from your Oracle Advanced Planning applications How is my operational plan health? Track changing key metrics trended across multiple versions of a plan What is the most cost effective way to address an imbalance between supply and demand? Evaluate shaping demand or considering alternative ways to resolve supply constraints Am I on track with my sales and operations base line plan for this month and do we need a mid-period correction? Monitor key changes in supply and demand metrics Where is the risk in my supply chain and what are my alternatives for dealing with those? Compare multiple contingency plans Planning scenario management and automation Create scenarios that span multiple planning processes Monitor scenario activities assigned to planners and analysts Link multiple planning processes together for automated (BPEL) or manual execution(1) 21

22 Oracle Advanced Planning Command Center Provide planning analytics to supply chain decision makers Increase in late shipments Sudden demand spike Resource overloaded Supply shortage 22

23 <Insert Picture Here> Oracle Service Parts Planning 12.1 Enabling profitable reverse logistics at higher service levels Scott Malcolm Director, Advanced Planning Product Management

24 Service Industry Key trends Service is becoming a main profit driver even in manufacturing companies Desire to move from cost center to profit center Service is a competitive differentiator - Better customer retention While many finished goods have been commoditized Increased flexibility in service level agreements Interplay between parts planning and execution increasingly becoming important Global service supply chain visibility and supplier collaboration Significant amounts of money tied up in spares inventories Initiatives to reduce inventories while simultaneously improving service responsiveness 24

25 Service Supply Chain Must manage both forward and reverse material flows Customers Supplier (Repair) Repaired Service technicians Regional DCs Central DC In repair Supplier (New Buy) On-hand Consigned Repair depot Material flow of good spares Material flow of defective spares 25

26 Oracle s Service Management Solution Complete and integration solution Customers Service Execution Service Providers and Suppliers External Contracts Call center SelfService Contracts & renewals CMRO & Install base Spares Mgt Field Depot repair & Engineering scheduling Parts life cycle & failure rates Repair orders Parts usage Self-Service In-house Phone Service supply chain design Spare parts and returns forecast Inventory Spare parts Deployment postponement replenishment plan plan plan Spare parts order promising Messaging (XML/EDI) Service Parts Planning Replenishment Workflow based orders exceptions Solution Power user SelfService 26

27 Oracle Service Parts Planning Key capabilities Simultaneously forecast, replenish and redistribute your service parts across your service supply chain More accurately forecast your service parts Demantra statistical forecasting engine inside for highest accuracy Account for intermittent, seasonal, and fast moving demand patterns Leverage composite forecasting (shipments, usages, returns) Use service failure rates Optimize the replenishment and redistribution of parts across the extended service network, integrated with Service Execution Integrate with other Advanced Planning products for additional business processes Manage spare parts at customer locations (via CP) Manage service contract demand (via Demantra DM) Manage targeted service levels and budgets (via IO) 27

28 Simultaneously Forecast, Replenish and Distribute Single planning process and UI for highest productivity and fastest analysis Service Parts Planning SERVICE PLANNER WORKBENCH Single UI for forecasting and replenishment Part and supersession chain centric analysis Planner work lists Personal and public queries Comments Auto-release rules SPARE PARTS FORECASTING Support intermittent demand patterns Leverage highly accurate Bayesian engine Population and failure rate based forecasting Composite forecasting Forecasting based on supersession SPARE PARTS REPLENISHMENT PLANNING Plan internal and external repair Plan reallocation and transfer of parts Plan new buy orders Analyze and fix exceptions Release planning recommendations to Execution 28

29 Simultaneously Forecast, Replenish and Distribute Single planning process and UI for highest productivity and fastest analysis Items, Failure Rates, Supersession Chain Worksheet Preferences Supply-Demand Forecast Comments Graphs Exceptions 29

30 Improve Planner Productivity Work list and personal queries Planners have complete control over their analysis workflow Define one or more work lists with prioritization Define unlimited item, supply-demand, exception, and supplier queries Quickly drill down from work list or query to summary, to detailed level Planners can automatically execute their preferred query upon starting their work Query results are retained between analysis sessions (refreshed when plans are rerun) Collaborate between planners Share work lists and queries for public use Mass Maintenance of Item Attributes 30

31 More Accurately Forecast Service Parts Demantra statistical forecasting engine inside for highest forecast accuracy Accurately statistically forecast the complex demand patterns found in service parts Key forecast methods specific to service part demand patterns Data transformations for intermittent or sporadic patterns Expert mode: automatically select best blended statistical method for every service part Forecast for service parts without adequate shipment history Forecast based on composite of shipments, usages, returns, failure rates, and product population Forecast for changing replacement parts and revisions Forecast entire supersession chain and chain history of multiple revisions Scale to handle large volumes of parts Selectively re-forecast: use specific forecast methods, parameters, and forecasting frequency as needed based on criticality 31

32 Optimize Replenishment and Redistribution Operate more profitable Service chain by saving inventory and purchasing costs Consider key service planning constraints Part supersession, condition, and criticality Sourcing of repair-at and buy-from Repair resources (internal) Purchasing, repair, transportation lead times Supplier capacity (for new buy) Minimize inventory and purchasing cost, and out-of-stock impacts Dynamically reallocate and reposition parts Replenish to optimized safety stock levels Use up superseded parts; repair before new buy Out-of-the-box integration with Execution Release recommendations for new buy, repair, and transfers 32

33 Out-of-the-box Integration with Execution Eliminate cost of integration and improve planner productivity via automation Global parts inventory visibility across all service organizations Out-of-the-box integration with Oracle Spares Management and Oracle Depot Repair Release depot repair orders, reschedules, and transfers Release spares management new buy purchase orders, repair orders, and transfers Improve planner productivity through automation of release Create auto-release rules and attach to plans 33

34 <Insert Picture Here> Oracle Demand Signal Repository Scott Malcolm Director, Advanced Planning Product Management

35 Convergence of Retail and Consumer Goods Traditional View of Relationship Emerging Relationship Retaile r Aligned Priorities Jointly managed store/sku-level merchandise plans Optimized promotion & merchandising decisions Total supply chain logistics & transportation cost reduction Item and price data synchronized to reduce deductions CG Mfg Shared Consum er Goods Mfg. Retailer Retailer Facing Applications Category & Space Planning Demand Management Trade Promotion Mgt Transportation & Logistics Retail Execution Vendor Managed Inventory 35

36 The Current Situation 1 2 Lost sales due to out of stocks remains a key issue Competitive pressure to provide differentiated services to key retailers is intensifying Average OOS rate = ~8% (promotions and NPI = ~2x average) ~72% of OOS are caused by storerelated issues Average CPG company lost sales due to out of stocks = 2.5% A recent survey of 109 global retailers indicates that suppliers are performing less than adequately in key areas: Merchandising & category management Promotional design & execution Customer insight development Source: Retail Out-of-Stocks: A Worldwide Examination of Extent, Causes and Consumer Responses (2002); IBM Retail Merchandising and Supplier Management Survey (2004) 36

37 What Is The Challenge? Availability of Data Is No Longer The Issue Yesterday Data Sources/Types Data Frequency Data Granularity Application Availability Today Internal Data Syndicated Data Ad Hoc Weekly Market/ Category Level MS Office, Custom Weekly/ RDC Level Niche Direct From Retailers Daily Daily/SKU Level Enterprise Apps 37

38 Oracle DSR Solution Concept DC shipments DC inventory DC replen. rules INTEGRATE RESPOND Data sources centrally cleansed, harmonized and aggregated Pre-built dashboards and reports Powerful BI capabilities Sense & Respond event management SOA-Based Integration Retail DC/ Distributor Data ANALYZE POS sales Price Store inventory Promotional plans Store replen. rules Store forecasts MANAGE Non-Oracle Applications DEMAND SIGNAL REPOSITORY CAPTURE Retail Store Data TRADE PROMOTION PLANNING & OPT SALES & OPERATIONS PLANNING SUPPLY & DISTRIBUTION PLANNING PRODUCT LIFECYCLE MANAGEMENT Pre-Built Integration Other External Data Retail loyalty IRI/AC Nielsen 3rd party demographic Causal (weather,etc.) RFID/EPC IMS, NDC, EDI (867, 852), Scripts, Pedigree Unstructured text DEMANTRA PTP & TPO DEMANTRA DEMAND MANAGEMENT DEMANTRA SALES & OPERATIONS PLN Pre-built integration of aggregated demand signals to Demantra Standards-based integration for other applications ORACLE SUPPLY & DISTRIBUTION PLN ORACLE PRODUCT LIFECYCLE MGT 38

39 Oracle Demand Signal Repository The first DSR from a major software vendor 1. Enterprise strength open, flexible and extensible based a proven retail data model 2. Best-in-class analytics and BI 3. Integration to key Oracle and non-oracle applications to enable demand-driven operations Oracle is showing thought leadership [all CG manufacturers] should consider Oracle DSR whether they are existing Oracle database and application users or not Oracle s Demand Data Breakthrough (March ) 39

40 Integrate Respond Analyze Manage Capture Key DSR Capabilities Oracle Demand Signal Repository 1 Systematically capture, manage and prepare/store large volumes of disparate external data 2 Flexible BI capabilities to analyze and report on data at the lowest level of detail 3 Expose clean, harmonized, aggregated demand data to external applications 40

41 Oracle Demand Signal Repository Key capabilities Capture daily store-level sales, inventory and other data directly from customers. Analyze category, brand and customer performance at any level of detail. Integrate retail demand signals into enterprise applications. 41

42 Oracle Demand Signal Repository Respond to daily demand signals collected directly from customers. Margin is below target Store item mix is out of balance Promotion tactic change needed 42

43 Q&A Q& A Q U E S T I O N S A N S W E R S 43

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