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Ship cabin layout design using game theory

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Abstract

Game theory is a mathematical tool developed to understand competitive situations in which rational decision-makers interact to achieve their objectives. Game theory techniques have recently been applied to various engineering design problems in which the action of one component impacts that of any other component. In this article we first provide an overview of different game theory formulations, and then we present a survey on the approaches to ship cabin layout design, outlining several open research issues. To this end, we propose an effective method to facilitate the multidisciplinary decision-making process involved. A non-cooperative game is formulated, and the solution of this game is determined by the Nash equilibrium for the amount of equipment and furniture needed for the respective location and to achieve as high performance as possible in a cabin.

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References

  1. Xiao A, Seepersad CC et al (2007) Design for manufacturing: application of collaborative multidisciplinary decision-making methodology. Eng Optim 39(4):429–451

    Article  Google Scholar 

  2. Helvacioglu S, Insel M (2005) A reasoning method for a ship design expert system. Expert Syst 22(2):72–77

    Google Scholar 

  3. Yang T, Hung C-C (2007) Multiple-attribute decision making methods for plant layout design problem. Robot Compu-Integr Manuf 23(1):126–137

    Google Scholar 

  4. Li J-h, Chen B-k et al (2000) Fuzzy comprehensive evaluation for vessel compartment layout. Shipbuilding China 41(4):22–27

    Article  Google Scholar 

  5. He H-y (2007) Practice in the optimal layout of ship’s cabin. Ship Ocean Eng 36(4):12–14

    Google Scholar 

  6. Xiong M-d (2001) An application of CAD 3D modeling in ship compartment and equipment arrangement. Mech Elect Equip 3:3–6

    Google Scholar 

  7. Li J-h, Chen B-k et al (2001) Optimal layout of vessel compartments based on genetic algorithms on CADDS5 platform. Shipbuilding China 42(1):1–5

    Google Scholar 

  8. Li J-h, Chen B-k et al (2000) Three-dimensional optimal layout design of naval vessel compartments based on simulated annealing method. Comput Aided Eng 1:28–32

    Google Scholar 

  9. Li J-h, Ying W-y et al (2002) Research of method in intelligent 3D layout design of ship compartments based on compound knowledge model. Shipbuilding China 43(2):1–8

    MathSciNet  Google Scholar 

  10. Zheng Y (2005) Cabin design of large cargo ship. Ship Boat 5:46–50

    Google Scholar 

  11. Liao Y (2006) Indoor layout of residential house. Housing Sci 55–58

  12. Hou T (2002) Indoor color design research. J ChangChun Univ 12(2) 87–89

    Google Scholar 

  13. Li Z (2007) Seaman psychology and indoor color design. Ship Eng 29(3):75–77

    Google Scholar 

  14. Yao L, Li G-a et al (2006) Analytic hierarchy process applied in large scale surface warship multi-form optimization. Chin J Ship Res 1(3):12–14

    Google Scholar 

  15. Sang S, Lin Y et al (2002) An improved AHP method for MCDM in ship type’s demonstration. J Dalian Univ Technol 42(2):204–207

    Google Scholar 

  16. Xiong Y-f, Cai Z-x et al (2007) Optimal choice of ship forms based on the grey multi-hierarchical appraise model. J Wuhan Univ Technol (Transport Sci Eng) 31(2):337–340

    MathSciNet  Google Scholar 

  17. Zhang X-l, Yang J-q et al (2005) Multi-objective fuzzy optimization method and its practical application to engineering design. J Dalian Univ Technol 45(3):374–378

    Google Scholar 

  18. Zhang W-y, Lin Y et al (2004) Model for multi-objects and multi-layers system for ship form fuzzy optimization. Shipbuilding China 45(3):31–37

    Google Scholar 

  19. Chen L, Jin G-d et al (2006) Negotiation model of multidisciplinary collaborative design of product. Chin J Mech Eng 42(8):175–181

    Article  Google Scholar 

  20. Wang J-f, Wu Y-z et al (2002) Genetic algorithms and game theory for high lift design problems in aero dynamics. Trans Nanjing Univ Aeronaut Astronaut 19(1):7–13

    MATH  Google Scholar 

  21. von Neumann J, Morgenstern O (1944) Theory of games and economic behavior. Princeton University Press, Princeton

    MATH  Google Scholar 

  22. Nash JF (1950) Equilibrium points in N-person games. Proc Natl Acad Sci USA 36:48–49

    Article  MATH  MathSciNet  Google Scholar 

  23. Nowak MA, Sigmund K (2004) Evolutionary dynamics of biological games. Science 303(5659):793–799

    Article  Google Scholar 

  24. Sim K-B, Lee D-W, Kim J-Y (2004) Game theory based coevolutionary algorithm: a new computational coevolutionary approach. Int J Control Autom Syst 24:463–474

    Google Scholar 

  25. Kaufmann L, Carter CR (2006) International supply relationships and non-financial performance-A comparison of US and German practices. J Oper Manage 24(5):653–675

    Google Scholar 

  26. Habbal A, Petersson J, Thellner M (2004) Multidisciplinary topology optimization solved as a Nash game. Int J Numer Methods Eng 61(7):949–963

    Article  MATH  MathSciNet  Google Scholar 

  27. Michalek JJ, Papalambros PY, Skerlos SJ (2004) A study of fuel efficiency and emission policy impact on optimal vehicle design decisions. J Mech Des Trans ASME 126(6):1062–1070

    Google Scholar 

  28. Xie N-g, Sun L-s et al (2006) Application of game analysis to multi-objective design of gravity dam. J Hohai Univ (Nat Sci) 34(2):161–164

    Google Scholar 

  29. Xie N-g, Fang H et al (2005) Game analysis of multi-objective design on Luff mechanism of compensative sheave block. J Mech Strength 27(2):202–206

    Google Scholar 

  30. Xie N-g, Sun L-s et al (2005) Multi-objective anti-seismic game design of arch Ring structure. Hydro Sci Eng 4:36–40

    Google Scholar 

  31. Bellman RE, Zadeh LA (1970) Decision making in a fuzzy environment. Manage Sci 17(4):209–215

    Article  MathSciNet  Google Scholar 

  32. International Labor Office (2006) 2006 Maritime Labour Convention. International Labor Office, Geneva, Switzerland

  33. Maritime Safety Administration People’s Republic of China (2004). Statutory survey rules for ships and marine facilities, China Communications Press, Beijing

  34. Osborne MJ (2003) An introduction to game theory, Oxford University Press

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Correspondence to Zheng Xuan Liang.

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The research was supported by the China Postdoctoral Science Foundation (20060390305).

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Liang, Z.X., Yan, L. & Shang, J.Z. Ship cabin layout design using game theory. J Mar Sci Technol 13, 446–454 (2008). https://doi.org/10.1007/s00773-008-0009-2

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  • DOI: https://doi.org/10.1007/s00773-008-0009-2

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