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Royal Thai Navy A Network Flow Viewpoint to Offshore Patrol Vessel Engineering

Royal Thai Navy A Network Flow Viewpoint to Offshore Patrol Vessel Engineering. CDR Peerapong Yoosiri, Royal Thai Navy LT Jeff Lineberry, United States Navy. Agenda. Background Network Model Method Formulation Results Analysis Conclusions. Background. Background. Background.

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Royal Thai Navy A Network Flow Viewpoint to Offshore Patrol Vessel Engineering

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  1. Royal Thai NavyA Network Flow Viewpoint to Offshore Patrol Vessel Engineering CDR Peerapong Yoosiri, Royal Thai Navy LT Jeff Lineberry, United States Navy

  2. Agenda • Background • Network Model • Method • Formulation • Results • Analysis • Conclusions

  3. Background

  4. Background

  5. Background • 6 OPVs are required according to strategy plan • 2 OPVs ,constructed in China, have been commissioned in the fleet • RTN is currently building a ship by domestic dockyard. • Planning to have 3 more OPVs in the future. http://www.baesystems.com/Businesses/SurfaceShips/PlatformsandProgrammes/OffshorePatrolVessels/index.htm

  6. Problem Statement “Roughly forty percent of material and parts are acquired from domestic contractors, leaving the dependency on a multitude of procurement from other countries.”

  7. Assumptions Many of the smaller and further contractors will have more cost associated with them but may serve as good alternatives when some of the major procurement nodes are eliminated.

  8. Data Sources All nodes and arc data was acquired from representatives of RTN.

  9. Network Model

  10. @ = Start of Project A = Sign Contract B = Jig Construction C = Pre-Fab & Sub-Block D = Composing Structure E = Release F = Propulsion Plant G = Cable Tray H = Electric Plant I = Piping J = Assistant Engine K = Main Engine L = Electronic System M = Communication System O = Decoration System P = Quality Control Q = Command & Control System R = 76 mm. Gun System S = 30 mm. Gun System T = HAT U = SAT V = Delivery $ = End of Project

  11. Methodology

  12. Formulation

  13. Results • We convert 22 nodes into 46 nodes by looking at contract options. • Most contractors save money on job completion. • Running shortest path interdictions, we were able to find the 8 contractors which represent 4 of the 10 countries we looked at. • Utilizing those contractors, we save cost from the proposed $ 91.7 M.

  14. Analysis

  15. Analysis To make this problem more realistic, we manipulate the GAMS code by only interdicting the countries that associated with contractors. Only 4 countries from the shortest path model could be affected by this scenario unless we had interdicted more than one countries.

  16. Analysis

  17. Conclusion

  18. Question?

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