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Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
Fuel optimization
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Fuel optimization

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Fuel Cost represents about 30 % of airline cost any saving in this element will lead to reduce the total cost , this presentation explore the method of monitoring the fuel and the human factors

Fuel Cost represents about 30 % of airline cost any saving in this element will lead to reduce the total cost , this presentation explore the method of monitoring the fuel and the human factors

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  • 1. Prepared and Presented By: Mohammed Salem Awad Senior Consultant Felix Airways Planning and Awareness FUEL Consumption Developing KPI System
  • 2. Introduction <ul><li>There is a huge variation in Fuel Consumption of ADE – SAH sector </li></ul><ul><li>Min Reading : 725 Kg </li></ul><ul><li>Max Reading : 2135 Kg </li></ul><ul><li>Deviation : 1410 Kg !!!!!!!!!!! </li></ul>
  • 3. Why we need to control Fuel Consumption <ul><li>Total Operating Cost </li></ul>
  • 4. Why we need to control Fuel Consumption <ul><li>Direct Operating Cost </li></ul>
  • 5. Why we need to control Fuel Consumption <ul><li>% of Fuel Cost </li></ul>
  • 6. Optimization of Fuel <ul><li>By : </li></ul><ul><li>1- Wings outlets </li></ul><ul><li>2- Control Fuel consumption by Control Chart </li></ul>
  • 7. Distributions <ul><li>Data Can be represented by Distributions </li></ul><ul><li>Distributions can be Discrete – ( Event – Failure ) or Continuous – ( Hours – Days ) </li></ul><ul><li>The link between field practical data and the theoretical one, is the applied statistical test. </li></ul><ul><li>Ungroup Data ( sampling ) use Kolomograph Test </li></ul><ul><li>Group Data ( sampling ) use K square Test. </li></ul>
  • 8. Statistics In Practice Exponential Distribution: Time Between Overhaul, Life of Component. Weibull Distribution: Failure Diagnostics and Performance Monitoring. Poisson Distribution: Initial Spare Provisioning, Engines In Stocks. Gama Distribution: Material Forecasting. Beta Distribution: Time Activity in Maintenance. Normal Distribution: Spill Analysis Quality Control – Fuels, Defects
  • 9. Quality Control Chart Normal Distribution Basic Equation
  • 10. Quality Control Chart Examples Control Chart of Defective Products ( in Manufacture Process ) Mean Value Upper Control Limit Lower Control Limit Dimensions
  • 11. Quality Control Chart Examples Control Chart for Unscheduled Removal ( Maintenance & Reliability ) Mean Value Upper Control Limit Lower Control Limit Removal Rate
  • 12. Developing Control limits of Fuel Consumption The Sequence of the analysis Input Data Frequency Distribu- tion Data Filtra- tion Data Analysis N. D. Control Chart Develop KPI
  • 13. Developing Control limits of Fuel Consumption Basic Collection Data Fuel Used Input Data
  • 14. Developing Control limits of Fuel Consumption Basic Collection Data Input Data
  • 15. Developing Control limits of Fuel Consumption Frequency Distribution Frequency Distribu- tion
  • 16. Developing Control limits of Fuel Consumption Data Filtration Data Filtra- tion SAH-ADE Sector – Frequency Distribution Fuel Consumption Qty
  • 17. Developing Control limits of Fuel Consumption Data Filtration Data Filtra- tion SAH-ADE Sector – Frequency Distribution Fuel Consumption Qty
  • 18. Developing Control limits of Fuel Consumption Data Filtration Data Filtra- tion
  • 19. Developing Control limits of Fuel Consumption Data Filtration Data Filtra- tion SAH-ADE Sector – Frequency Distribution Fuel Consumption Qty
  • 20. Developing Control limits of Fuel Consumption Data Analysis No. of Reading : 761 Average = 1008 Standard Deviation = 127 Sector: SAH-ADE Data Analysis N. D.
  • 21. Developing Control limits of Fuel Consumption Data Analysis N. D.
  • 22. Developing Control limits of Fuel Consumption Data Analysis N. D.
  • 23. Developing Control limits of Fuel Consumption Data Analysis N. D.
  • 24. Developing Control limits of Fuel Consumption Control Chart For SAH-ADE Develop KPI
  • 25. Developing Control limits of Fuel Consumption Alert Level Aircraft CRJ 700 Develop KPI
  • 26. Developing Control limits of Fuel Consumption Alert Level Aircraft CRJ 200 Develop KPI
  • 27. Summary <ul><li>- Fuel Consumption control chart act like a thumb for each sector </li></ul><ul><li>- Depends on the company policy at what level they set the target level, and only above 50 reading are consider </li></ul><ul><li>- Usually Mean + or – Standard Deviation is the best procedure to apply </li></ul><ul><li>So KPI system can be develop and apply in company </li></ul><ul><li>The Company can control the level of Fuel Consumption reading by 16 % </li></ul>
  • 28. contact Further Information: Mohammed Salem Awad : Tel: 00967 734777518 Email: smartdecision2002@yahoo.com www.freewebs.com/wingsofwisdom/ www.freewebs.com/art-of-knowledge/ www.standout-from-the-crowds.webs.com

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