APRAM: an advanced programmatic risk analysis method

International Journal of Technology, Policy and Management

Volumn 1, Issue 1, 2001, Pages 47-65

  Dillon, Robin L ^a   Elisabeth Pate Cornell M ^b  

^a PAMPLIN COLLEGE OF BUSINESS   (United States)

^b Stanford University   (United States)

Author keywords

faster better cheaper projects; probabilistic risk analysis (PRA); Programmatic risk; risk trade offs

Indexed keywords

EID: 4344690439     PISSN: 14684322     EISSN: 17415292     Source Type: Journal    
DOI: 10.1504/IJTPM.2001.001744     Document Type: Article

References (11)

1. Cleland, D.I. (1994) Project Management: Strategic Design and Implementation, 2nd edition, New York: McGraw-Hill, Inc.
2. Moder, J., Phillips, C. and Davis, E. (1983) Project Management with CPM, PERT, and Precedence Diagramming, New York: Van Nostrand Reinhold Company.
3. Eisner, H. (1997) Essentials of Project and Systems Engineering Management, New York: John Wiley & Sons.
4. Chapman, C.B. and Ward, S.C. (1997) Project Risk Management: Processes, Techniques, and Insights, Chicester: John Wiley & Sons.
5. Archibald, R. (1992) Managing High-Technology Programs and Projects, New York: John Wiley & Sons.
6. Hertz, D.B. (1964) ‘Risk analysis in capital investment’, Harvard Business Review, Vol. 42, pp.95–106.
7. Williams, T. (1995) ‘A classified bibliography of recent research relating to project risk management’, European Journal of Operational Research, Vol. 85, pp.18–38.
8. NASA Jet Propulsion Laboratory (1999) Advanced Programmatic Risk Analysis for NASA’s Faster-Better-Cheaper Missions and Programs, M.E. Paté-Cornell and R.L. Dillon (Eds.), Pasadena, California.
9. Henley, E. and Kumamoto, H. (1992) Probabilistic Risk Assessment: Reliability Engineering, Design, and Analysis, New York: IEEE Press.
10. Dillon, R.L. (1999) ‘Programmatic risk analysis: engineering and management risk trade-offs for interdependent projects’, PhD Thesis, Department of Industrial Engineering and Engineering Management, Stanford University, Stanford, California.
11. Hillier, F.S. and Lieberman, G.J. (1990) Introduction to Operations Research, New York: McGraw-Hill.