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Enterprise Horizons Supply Chain

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  • 1. Geo-Optimizing Supply Chains using SOA - Business Case for SKF
  • 2.
    • Concept Overview
      • What is SOA?
      • Business Simulation using SOA
      • What are Mashups?
    • Space time Simulation
      • Simulating business functions in space and time
      • Geo-optimizing space-time business functions
    Presentation Objectives
    • MAGMA Detail & Demo
      • Module Overview
      • Demand Driven Supply chain
      • Identifying supply bottlenecks
      • Excess Inventory scenario
      • Batch recall – Identifying defective inventory
      • Global Supply-Network optimization
    • Wrap-up
      • Smart Analytics using Google – SAP SOA solutions
  • 3. What is a Mashup? Interface with Real time Systems Internal BI Data Shopping Services Market Data
  • 4. Mashup - SOA
  • 5. SOA Optimization Opportunity
  • 6. Demand Supply Paradigm
  • 7.
    • What is Magma Ecosystem ™ Spatial Analytics ?
      • Addressing Real Time Application issues
      • Visual Analytics
      • Spatially Actionable Processes
      • View your Spatially distributed Business processes easily
    • Advantages of Spatial Analytics
      • Provides a “Truman Show” Workspace
      • Summarized and Detail Information at a click of a button
      • View Thematic information (e.g. Demand and Supply)
      • View Physical Assets, Field Deployments
      • Overlay information sets from disparate sources
      • Gain new insight into Business models and processes
    • Study factors that affect your Business
      • Overlay with external information like Customer demographics
      • Study your business response to Weather, Fault Lines, Traffic conditions
      • Involve business parameters that were never before considered
    Introduction
  • 8. Demographics Yield Optimization Customer Distribution Weather Billboard Visualizations External Influencers Traffic Conditions Exception Visualization Pattern Recognition ABM (Business Modeler) “ What If” Analysis Thematic Replays Magma for CPG & Retail Thematic Analysis SAP Integration Demand vs. Supply Demand and supply Metrics Outage Analysis Physical Visualization Store Layouts Marketing analytics Consumer Visualization Merchandizing Simulations Analytics Ground Reality Influence of Every day life parameters
  • 9. Google Earth ™ Client Data Acquisition The “Truman Show” Dashboard SAP CRM Db Enterprise Applications GPS Asset Tracking Operational CAD Super Market Diagrams Document Management Amazon Google EBay Customer Demographics
  • 10.
    • Viewing Customer distribution
      • Analyze Demand behavior by region
      • Product penetration analysis
      • Success simulations
      • Consumer Distribution
    Understanding Demand
  • 11. Understanding marketing dynamics Poor Demand for Products (Red) Top Demand for Products (Blue) Green Indicates Consumer Distribution
  • 12. The Yellow Pages of SOA Services Understand the distribution of distributors Understanding Regional Demand
  • 13. Understanding Demand against the competition Understand product market share by region vs. competition Web service calls fetches regional demographics and understand regional spend and consumption behavior Run optimization scenarios to fetch the best product sale proposition
  • 14. Demand and Supply analytics
    • Studying Demand, Supply, Forecasting
      • Plot Supply (shown in green). The shading represents supply by area
      • Plot Demand (shown in red). The shading represents demand by area
      • Overlay supply and demand, intersection represents “Demand v/s Supply”
    Supply Demand
  • 15. Identifying optimal Supply Levels
    • Predicting Supply levels based on Forecast (Integration with ERP / Supply chain)
      • Perform “What-if” Analysis of demand v/s supply, to derive optimum supply value
      • The intersection represent the overload point
      • Slide the “Slicer plane”, till the optimum tip-over is identified
      • Identify areas of supply outage
  • 16. Identify Demand Zones
  • 17. Long term Distribution Forecast Delivery Capacity Forecasted demand
    • Long term planning
      • Understand Seasonal trends on regional inventory levels
      • Retail prosperity, Grid demographics, income modeling
      • Demand and Supply Forecasting
  • 18. Understanding your supply network
    • Identifying Supply Networks
      • Simulate distribution of inventory in space and time
      • Identify bottlenecks in your supply chain
      • Demand and Supply Forecasting
  • 19. [email_address]

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