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Portfolio Decision Analysis: Lessons from Military Applications

  • Roger Chapman BurkEmail author
  • Gregory S. Parnell
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 162)

Abstract

We review the use of portfolio decision analysis in military applications, such as weapon systems, types of forces, installations, and military research and development projects. We start by comparing military and commercial portfolio problems in general, discussing the distinguishing characteristics of the military decision environment: hostile and adaptive adversaries, a public decision process with multiple stakeholders, and high system complexity. Then we list and summarize 24 military DA applications published from 1992 to 2010. We find that the most widespread prominent feature of these applications is the careful modeling of value from multiple objectives. Mathematical optimization is not so common, but it can be important when a large number of interdependencies or side constraints makes it hard to find good feasible candidate portfolios. Quantitative methods of accounting for risk are surprisingly rare, considering the high level of uncertainty in the military environment. We analyze six of the applications in more detail, looking at how they model portfolio value calculation, swing weight assessment, constraints and dependencies, and uncertainty and risk. An appendix provides a recommended procedure for portfolio decision analysis based on the authors’ experience and the applications reviewed.

Keywords

Decision Analysis Military Application Portfolio Problem Portfolio Analysis Stakeholder Representative 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Austin J, Mitchell IM (2008) Bringing value focused thinking to bear on equipment procurement. Mil Oper Res 13(2):33–46Google Scholar
  2. Baker SF, Green SG, Lowe JK, Francis VE (2000) A value-focused approach for laboratory equipment purchases. Mil Oper Res 5(4):43–56Google Scholar
  3. Bresnick TA, Buede DM, Pisani AA, Smith LL, Wood BB (1997) Airborne and space-borne reconnaissance force mixes: a decision analysis approach. Mil Oper Res 3(4):65–78Google Scholar
  4. Brown GG, Dell RF, Holtz H, Newman AM (2003) How US Air Force Space Command optimizes long-term investment in space systems. Interfaces 33(4):1–14CrossRefGoogle Scholar
  5. Brown GG, Dell RF, Newman AM (2004) Optimizing military capital planning. Interfaces 34(6):415–425CrossRefGoogle Scholar
  6. Buckshaw DL, Parnell GS, Unkenholz WL, Parks DL, Wallner JM, Saydjari OS (2005) Mission oriented risk and design analysis of critical information systems. Mil Oper Res 10(2):19–38Google Scholar
  7. Buede DM, Bresnick TA (1992) Applications of decision analysis to the military systems acquisition process. Interfaces 22(6):110–125CrossRefGoogle Scholar
  8. Burk RC, Deschapelles C, Doty K, Gayek JE, Gurlitz T (2002) Performance analysis in the selection of imagery intelligence satellites. Mil Oper Res 7(2):45–60Google Scholar
  9. Burk RC, Parnell GS (1997) Evaluating future space systems and technologies. Interfaces 27(3):60–73CrossRefGoogle Scholar
  10. Chang T-J, Yang S-C, Lin T-L, Chang K-J (2010) Heuristics approach for portfolio selection with military investment assets. J Chung Cheng Inst Technol 39(1):97–112Google Scholar
  11. Davis PK, Shaver RD, Beck J (2008) Portfolio-analysis methods for assessing capability options. RAND National Defense Research Institute, Santa MonicaGoogle Scholar
  12. Department of Defense (DoD) (2006) Risk management guide for DoD acquisition, 6th edn., version 1.0. Defense Acquisition University, Fort BelvoirGoogle Scholar
  13. Dillon-Merrill RL, Parnell GS, Buckshaw DL, Hensley WR, Caswell DJ (2008) Avoiding common pitfalls in decision support frameworks for Department of Defense analyses. Mil Oper Res 13(2):19–31Google Scholar
  14. Ewing PL Jr, Tarantino W, Parnell GS (2006) Use of decision analysis in the Army Base Realignment and Closure (BRAC) 2005 military value analysis. Decis Anal 3:33–49CrossRefGoogle Scholar
  15. Geis JP II, Parnell GS, Newton H, Bresnick TA (to appear) Blue horizons study assesses future capabilities and technologies for the United States Air Force. InterfacesGoogle Scholar
  16. Greiner MA, Fowler JW, Shunk DL, Carlyle WM, McNutt RT (2003) A hybrid approach using the Analytic Hierarchy Process and integer programming to screen weapon systems projects. IEEE Trans Eng Manage 50:192–203CrossRefGoogle Scholar
  17. Haertling KP, Deckro RF, Jackson JA (1999) Implementing information warfare in the weapon targeting process. Mil Oper Res 4(1):51–65Google Scholar
  18. Hamill TJ, Deckro RF, Kloeber JM, Kelso TS (2002) Risk management and the value of information in a defense computer system. Mil Oper Res 7(2):61–82Google Scholar
  19. Jackson JA, Parnell GS, Jones BL, Lehmkuhl LJ, Conley H, Andrew J (1997) Air Force 2025 operational analysis. Mil Oper Res 3(4):5–21Google Scholar
  20. Jurk DM, Chambal SP, Thal AM Jr (2004) Using value-focused thinking to select innovative force protection ideas. Mil Oper Res 9(3):17–30Google Scholar
  21. Keeney RL (1992) Value-focused thinking: a path to creative decisionmaking. Harvard University Press, CambridgeGoogle Scholar
  22. Keeney RL, Raiffa H (1976) Decision making with multiple objectives: preferences and value tradeoffs. Wiley, New YorkGoogle Scholar
  23. Kirkwood CW (1997) Strategic decision making: multiobjective decision analysis with spreadsheets. Duxbury, Pacific GroveGoogle Scholar
  24. Klimack WK, Kloeber JM Jr (2000) A multi-attribute preference theory assessment of US Army basic combat training program of instruction. Technical Report 2000–02, Center for Modeling, Simulation and Analysis, Air Force Institute of Technology, Wright-Patterson Air Force BaseGoogle Scholar
  25. Leinart JA, Deckro RF, Kloeber JM Jr, Jackson JA (2002) A network disruption modeling tool. Mil Oper Res 7(1):69–77Google Scholar
  26. Lindberg TJ (2008) The critical infrastructure portfolio selection model. Master of Military Art and Science thesis, US Army Command and General Staff College, Fort LeavenworthGoogle Scholar
  27. Meier SR (2009) Causal inferences on the cost overruns and schedule delays of large-scale US federal defense and intelligence acquisition programs. Proj Manage J 41(1):28–39Google Scholar
  28. Parnell GS (2007) Value-focused thinking. In: Loerch A, Rainey L (eds) Methods for conducting military operational analysis. Military Operations Research Society, AlexandriaGoogle Scholar
  29. Parnell GS, Bennett GE, Engelbrecht JA, Szafranski R (2002) Improving customer support resource allocation within the National Reconnaissance Office. Interfaces 32(3):77–90CrossRefGoogle Scholar
  30. Parnell GS, Burk RC, Schulman A, Westphal D, Kwan L, Blackhurst J, Verret P, Karasopoulos H (2004) Air Force Research Laboratory space technology value model: creating capabilities for future customers. Mil Oper Res 9(1):5–18Google Scholar
  31. Parnell GS, Conley HW, Jackson JA, Lehmkuhl LJ, Andrew JM (1998) Foundations 2025: a framework for evaluating future air and space forces. Manage Sci 44:1336–1350CrossRefGoogle Scholar
  32. Parnell GS, Driscoll PJ, Henderson DL (eds) (2011) Decision making for systems engineering and management, 2nd edn. Wiley Series in Systems Engineering, Andrew P. Sage (ed), Wiley, New YorkGoogle Scholar
  33. Parnell GS, Gimeno BI, Westphal D, Engelbrecht JA, Szafranski R (2001) Multiple perspective R&D portfolio analysis for the National Reconnaissance Office’s technology enterprise. Mil Oper Res 6(3):19–34Google Scholar
  34. Parnell GS, Jackson JA, Burk RC, Lehmkuhl LJ, Engelbrecht JA Jr (1999) R&D concept decision analysis: using alternate futures for sensitivity analysis. J Multi-Crit Decis Anal 8:119–127CrossRefGoogle Scholar
  35. Phillips LD (2007) Decision conferencing. In: Edwards W, Miles R, von Winterfeldt D (eds) Advances in decision analysis. Cambridge Press, UKGoogle Scholar
  36. Rayno B, Parnell GS, Burk RC, Woodruff BW (1997) A methodology to assess the utility of future space systems. J Multi-Crit Decis Anal 6:344–354CrossRefGoogle Scholar
  37. Spetzler C (2007) Building decision competency. In: Edwards W, Miles R, von Winterfeldt D (eds) Advances in decision analysis. Cambridge Press, UKGoogle Scholar
  38. Stafira S Jr, Parnell GS, Moore JT (1997) A method for evaluating military systems in a counterproliferation role. Manage Sci 43:1420–1430CrossRefGoogle Scholar
  39. Trainor TE, Parnell GS, Kwinn B, Brence J, Tollefson E, Downes P (2007) The US Army uses decision analysis in designing its installation regions. Interfaces 37(3):253–264CrossRefGoogle Scholar
  40. Walmsley NS, Hearn P (2004) Balance of investment in armoured combat support vehicles: an application of mixed integer programming. J Oper Res Soc 55:403–412CrossRefGoogle Scholar
  41. Watson SR, Buede DM (1987) Decision synthesis: the principles and practice of decision analysis. Cambridge University Press, Cambridge, UKGoogle Scholar
  42. Woodaman RFA, Loerch AG, Laskey KB (2010) A decision analytic approach for measuring the value of counter-IED solutions at the Joint Improvised Explosive Device Defeat Organization. GMU-AFCEA Symposium: critical issues in C4I. Available via Internet. http://c4i.gmu.edu/events/reviews/2010/papers/Woodaman_Valuation_of_Counter-IED_Solutions.pdf

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Systems EngineeringUS Military Academy, West PointNew YorkUSA

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