A Requirements Evaluation Method for Ships to Maximize Operational Value under Uncertainty

  • Kazuo Hiekata
  • Bryan Moser
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 442)

Abstract

Requirements defined by shipping firms play a role as the communication interface of product information between these firms and shipbuilders, and the product design is optimized based on the requirements. Ship service life is about 30 years, during which original requirements may lose some relevance. In this paper we explore the introduction of uncertainty and flexibility into requirements so that ships are designed optimally not only for a single given technical condition but for a range of possible operational scenarios, including shifts in the economic environment for shipping firms.

Keywords

Froude Number Requirement Evaluation Ship Hull Flat Rate Ship Speed 
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References

  1. 1.
    Tsujimoto, M., Sasaki, N., Fujiwara, T., Ueno, M., Ushui, N., Kado, M., Nomura, D., Takagi, K.: A Calculation Method of 10 mode Index for Ships. Journal of the Japan Society of Naval Architects and Ocean Engineers 10, 97–104 (2009)CrossRefGoogle Scholar
  2. 2.
    Gillmer, T.C., Johnson, B.: Introduction to Naval Architecture, U.S. Navy (1982)Google Scholar
  3. 3.
    Sanguri, M.: How to Use Main Engine Performance Curve for Economical Fuel Consumption on Ships? (August 16, 2012), http://www.marineinsight.com/marine/marine-news/headline/how-to-use-main-engine-performance-curve-for-economical-fuel-consumption-on-ships/ (January 20, 2014)
  4. 4.
    Federal Reserve Bank of St. Louis, Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma (MCOILWTICO) (February 20, 2014), http://research.stlouisfed.org/fred2/series/MCOILWTICO (February 28, 2014)
  5. 5.
    McQuilling Services, LLC, No 21 – 2013 Worldscale Flat Rate Forecast, Tankers (2012)Google Scholar
  6. 6.
    McQuilling Services, LLC., No 11 – 2012 Flat Rate Forecast, Tankers (2011) Google Scholar
  7. 7.
    MOL, Market Data (February 2014), http://www.mol.co.jp/ir-e/data_e/market_e.html (February 28, 2014)
  8. 8.
    IHI, Press release (July 2003), http://www.ihi.co.jp/ihi/press/2003/2003-7-08/index.html (February 28, 2014)
  9. 9.
    de Neufville, R., Scholtes, S.: Flexibility in Engineering Design. MIT Press (August 2011)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Kazuo Hiekata
    • 1
  • Bryan Moser
    • 2
  1. 1.Graduate School of Frontier SciencesThe University of TokyoJapan
  2. 2.Engineering Systems DivisionM.I.T. and Global Project DesignUSA

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