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Noel Luddy, - IBM

Sense and Respond Solution (SRS) Business Process Management (BPM) Monitoring and managing business performance to achieve maximum business value. Noel Luddy, - IBM. What is Sense and Respond Solution?.

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Noel Luddy, - IBM

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  1. Sense and Respond Solution (SRS) Business Process Management (BPM) Monitoring and managing business performance to achieve maximum business value Noel Luddy, - IBM

  2. What is Sense and Respond Solution? • Sense and Respond Solution is a tool and system that uses Business Monitor V6 and Research’s Model Driven Business Transformation (MDBT) to provide: • Creating UML models to generate code for all of the items below • Monitoring events • Real-time analysis of the data in the events and referencing other data • Alerting people and systems when appropriate based on the analysis of the events • Creating and populating a DB2 performance database to store the results of the analysis • Creating a dashboard using Alphablox for viewing and drill down into the performance database • Integration of Analytics and Optimizations services.

  3. Sense and Respond Solution (SRS) Business Process Management (BPM) • What are the problems that need to be solved? • Monitor process events, analyze data, provide results and alert when necessary • Receive data (events) analyze data, provide results, and provide results database for end user • Receive data and/or monitor events, analyze data, provide results and alert when necessary and provide results database for end user • In the above – require low cost, fast time to implementation and easy to change solution.

  4. Sense and Respond Solution (SRS) Business Process Management (BPM) • Benefits of using SRS BPM • SRS BPM builds on IBM WebSphere Process Server (WPS) and Common Event Infrastructure (CEI) Model driven development that generates Java Code reduces coding by 70% • Model driven development reduces overall project time by 50% • Uses shared runtime infrastructure for multiple models which reduces the ongoing operational cost to run each model • Shared Production Infrastructure currently in TAP environment • Automated Problem Determination (APD) for CPT • Hub Visibility Portal (HVP) for ISC • Shared Production Infrastructure on ZLinux to be operational in Oct 2007 with Sales Out Forecasting Channel Collaboration (SOFCC)

  5. Examples of Sense and Respond Solutions Monitor Manage Optimize Supply chain Visibility (HVP) • Parts demand • Supply Hubs • Demand Forecast • Inventory level • Performance Audit • Inventory optimize • Crit. parts workflow • Hub overage • Hub underage • Replenishment • Breakage point alert • Problem determination Automated Problem Determination (APD) • Sentinel probes • B2B E2E system • availability Monitoring • Auto system fix invocation

  6. Problem and Benefits of B2B E2E Automated Problem Determination (APD) • B2B Probes alert when an E2E system is unavailable, but we do not know which system is unavailable and E2E manual problem determination delays the start of the system fix and is costly • APD Benefits • Savings of 30 to 60 minutes unavailability of application per incident by alerting the major system support staff sooner • Achieve the SLA with the Customer

  7. B2B E2E Automated Problem Determination (APD) Analysis and Alerting 1. RN NA 1. RN NA TxHub Back end DSG EPP Probe (Boulder) 2. RN EMEA 2. RN EMEA E2Open 3. cXML 3. cXML Yellow Zone Blue Zone 4. Lenovo 4. Lenovo 5. ITS(RN 9Z10) 2 ECI COA SipHub 5.ITS(RN 9Z8) TEC I SRS Alert to TEC COA TEC Alerts SRS Alert to TEC TEC TEC SRS wwCC Greenock SRS Alerts to WWCC, DSG, B2B Via Email etc. Shows APD for Phase 1 COA – Confirmation on Arrival TEC – Tivoli Event Console

  8. Dynamic Inventory Optimization allows for real time responsiveness Hitachi 40Gb/4200 Min/Max Analysis Analysis and Focus Items • System x suppliers do not keep 10 DOS. • Generally 10 DOS > Max • Since we rely on outsource hub management, we set the min at the safety stock level to ensure the serviceability level, and use the max to limit the inventory liability risk • Hub inventory levels will fluctuate significantly week-to-week. In particular, actual hub inventory might fall outside of the min-max range but not necessarily violate the desired hub availability target. *Accurate liability projections will depend on “high-water mark” max liabilities etc. which will require a linkage to LMS.

  9. Monitoring Expressions and Rules governing the Hub Visibility Portal Fixed DOS Thresholds Shortage Alert No Alert Yellow Overage Alert Red Overage Alert Inventory DOS Red Min DOS Yellow Max DOS DOS Red Max User controlled thresholds Dynamic Optimum Thresholds Inventory No Alert Shortage Alert Overage Alert Inventory Optimizer Max Inventory Optimizer Min Auto generated (weekly) thresholds

  10. Hub Visibility Portal Dashboard

  11. Data Stage Model MDBT BPM Models (runtime and dashboard) SQW Model LI 4 ETL 1 ESB 6 3 SAP 5 Metrics Thresholds Master Data Normalization 7 2 Data Integration (DWE / Data Stage) Metrics ETL Results Monitoring & Mgmt (MDBT BPM) HVP Performance Warehouse MDBT/HVP ODS Event Generator End-to-End Model-based Hub Visibility Portal (HVP) Asset for System x RFID Signal Metrics 8 WPF Models Thresholds Service Call 8 Service Call Inventory Optimizer Dashboard (Websphere Portlet Factory/Portal Server)

  12. HVP Observation Model using MDBT Toolkit

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