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Forecasting with Omega Analyzer

IMP Aerospace. Forecasting with Omega Analyzer. By: Bruce Beard, CD Senior Logistics Support Analyst 8 May 2012. IMP Aerospace, P.O. Box 970, Enfield, Nova Scotia, Canada B2T 1L5 Tel. 902. 873.2250 • Fax 902 873 2290 • e-mail. impaero@impgroup.com Website. www.impgroup.com.

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Forecasting with Omega Analyzer

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  1. IMP Aerospace Forecasting with Omega Analyzer By: Bruce Beard, CDSenior Logistics Support Analyst8 May2012 IMP Aerospace, P.O. Box 970, Enfield, Nova Scotia, Canada B2T 1L5 Tel. 902. 873.2250 • Fax 902 873 2290 • e-mail. impaero@impgroup.com Website. www.impgroup.com

  2. IMP Aerospace LSA Engineering Section provides Logistics Engineering Business Intelligence including Spares Forecasting & Obsolescence Management to enhance the overall cost-effectiveness of their fleet.

  3. LSA Engineering Toolkit Obsolescence Management Sparing / LORA Analysis FRACAS Management Life Cycle Cost Management Maintenance Task Rationalization Root Cause Analysis Reliability and Maintainability LSAR Database Development Demand Planning and Forecasting

  4. Support Equipment Requirements Operations & Maintenance Requirements Transportation Requirements Logistics Support Analysis Records Facilities Considerations RAM Data Packaging & Provisioning Requirements Task Requirements Personnel Skill Considerations Functionality

  5. Data Standardized & loaded into OmegaPS Rolling 5 years of Performa data (CF349s) LCN Structure & RAM data loaded into Analyzer Loading Analyzer – Method 1

  6. Data is “Auto-loaded” into Analyzer format (LCN Structure, Repair Capability, TAT, MTBF, Repair Hours, etc.) 1010110011 Rolling 5 – 10 years Performa In-Service data (CF349s) Data verified - Analyzed Loading Analyzer – Method 2

  7. Autoloader

  8. Remove/Replace Time Rectification Times Repair Capability Turn Around Time MTBF Autoloader

  9. Autoloader

  10. Forecasting • Manipulate Data Points • PLT (Procurement Lead Time) • UDS (Un-Distributed Stock) • TAT (Turn Around Time) • RepCap (Repair Capability)

  11. Forecasting • Simulation • PLT – set to ELE (Estimated Life Expectancy) in months • Simulates Obsolescence • UDS – set to Zero quantity • Simulates Stock Out condition • TAT – Actual times • Provides “real life” scenario • RepCap – From historical records • Provides “real life” scenario

  12. Repair Pipeline

  13. Recoverable Item Pipeline

  14. What would happen if……? Improving Pipeline • Reduce TAT • “Drop ship” parts to R&O • Preposition parts at R&O • Transportation $$$ saved • Less spares required • $$$ saved

  15. What would happen if…...? Improving Pipeline • Increase repair capability at LOMs • Less LRUs sent to R&O • Reduced shipping costs • Increase of SRUs may be required • $$$ saved

  16. What would happen if…...? Improving Pipeline • Improve diagnostic techniques / equipment • Reduce No Fault Found equipment sent to R&O • Improves Repair Capability at MOBs • Reduces quantity of spares • $$$ saved

  17. Option 2 Option 1 Analysis

  18. Analysis Single Item Analysis

  19. Analysis System Analysis

  20. Conclusions • Developed Autoloader to input “live” data • Manipulating key data points for simulations • Improving Repair Pipeline = $$$ saved • System vs. Single Item Analysis – educated range of spares

  21. Questions

  22. Back-up Slides

  23. CP140 AURORA LSAR • LCN to WUC correlation • Part Numbers / CAGE Code / NATO Stock Number • Task Codes • Candidate Items • Levels of Indenture • Source, Maintenance & Recoverability Code

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