Fuel optimization

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

18. Developing Control limits of Fuel Consumption Data Filtration Data Filtra- tion

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.

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

Fuel optimization

Mohammed Awad

Fuel optimization