Programmatic Risk Analysis for Critical Engineering Systems Under Tight Resource Constraints

References

  • Dillon R. L., Paté-Cornell M. E. APRAM: An advanced programmatic risk analysis method. Internat. J. Tech., Policy, Management (2001) 1:47–65CrossrefGoogle Scholar
  • Dyer J. S., Miles R. F. An actual application of collective choice theory to the selection of trajectories for the Mariner Jupiter/Saturn 1977 Project. Oper. Res. (1976) 24:220–244LinkGoogle Scholar
  • Dyer J. S., Miles R. F. 1977. Alternative Formulations for a Trajectory Selection Problem: The Mariner Jupiter/Saturn 1977 Project in Conflicting Objectives in Decisions (1977) (John Wiley and Sons, New York) Google Scholar
  • Fragola J., Kurth R., Maggio G., Epstein S., Frank M. Probabilistic risk analysis applied to the space-shuttle main engine. 1994 Proc. Annual Reliability Maintainability Sympos. (1994) 494–503CrossrefGoogle Scholar
  • Garrick J. B. Recent case studies and advancements in probabilistic risk assessment. Risk Anal (1984) 4:267–279CrossrefGoogle Scholar
  • Guikema S., Milke M. Quantitative decision tools for conservation program planning: Practice, theory, and potential. Environ. Conservation (1999) 26:179–189CrossrefGoogle Scholar
  • Guikema S., Paté-Cornell M. E. Optimization of system and component reinforcement with discrete risk/cost functions. Proc. Probabilistic Safety Assessment Management 6. (2002) . San Juan, PR, JuneGoogle Scholar
  • Henley E., Kumamoto H.Probabilistic Risk Assessment: Reliability Engineering, Design, and Analysis (1992) (IEEE Press, New York) Google Scholar
  • Hillier F. S., Lieberman G. J.Introduction to Operations Research (1990) (McGraw-Hill, New York) Google Scholar
  • Kaplan S., Garrick B. J. On the quantitative definition of risk. Risk Anal (1981) 1:11–27CrossrefGoogle Scholar
  • Keefer D., Smith F. B., Back H. B. Development and use of a modeling system to aid a major oil company in allocating bidding capital. Oper. Res. (1991) 39(1):28–41LinkGoogle Scholar
  • Keeney R. L.Value-Focused Thinking: A Path to Creative Decision Making (1992) (Harvard University Press, Cambridge, MA) Google Scholar
  • Keeney R. L. Using values in operations research. Oper. Res. (1994) 42:793–813LinkGoogle Scholar
  • Keeney R. L., Raiffa H.Decision Analysis with Multiple Objectives: Preferences and Value Trade-offs (1976) (John Wiley and Sons, New York) Google Scholar
  • Keeney R. L., McDaniels T. L., Swoveland C. Evaluating improvements in electric utility reliability at British Columbia Hydro. Oper. Res. (1995) 43:933–947LinkGoogle Scholar
  • Kirkwood C.Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets (1997) (Duxbury Press, Belmont CA) Google Scholar
  • Paté-Cornell M. E., Dillon R. L. Advanced programmatic risk analysis for NASA's faster-better-cheaper missions and programs. (1999) . Report to the NASA Jet Propulsion Laboratory, Pasadena, CAGoogle Scholar
  • Spetzler C. S., von Holstein C. A. S. Probability encoding in decision analysis. Management Sci (1975) 22:340–354LinkGoogle Scholar
  • Stonebaker J. S., Kirkwood C. W. Formulating and solving sequential decision analysis models with continuous variables. IEEE Trans. Engrg. Management (1997) 44:43–53CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.