Mid-Cycle Capital Planning Optimization

REFERENCES

• Bernhard , R. H. 1969 . Mathematical programming models for capital budgeting—a survey, generalization, and critique. . The Journal of Financial and Quantitative Analysis , 4 : 111 – 158 .
   Web of Science ®Google Scholar
• Bernhard , R. H. 1984 . Risk-adjusted values, timing of uncertainty resolution, and the measurement of project worth. . The Journal of Financial and Quantitative Analysis , 19 : 83 – 99 .
   Google Scholar
• Birge , J. R. and Louveaux , F. V. 1997 . Introduction to Stochastic Programming , New York : Springer .
   Google Scholar
• Caraway , R. , Schmidt , S. and Weatherford , L. 1993 . An algorithm for maximizing target achievement in the stochastic knapsack problem with normal returns. . Naval Research Logistics , 40 : 161 – 173 .
   Google Scholar
• Charnes , A. and Cooper , W. W. 1959 . Chance constrained programming. . Management Science , 5 : 73 – 79 .
   Web of Science ®Google Scholar
• Charnes , A. and Cooper , W. W. 1963 . Deterministic equivalents for optimizing and satisfying under chance constraints. . Operations Research , 11 : 18 – 39 .
   Web of Science ®Google Scholar
• Gurgur , C. Z. 2008 . Optimal project portfolio selection with carryover constraint . Journal of the Operational Research Society , advance online publication. DOI: 10.1057/jors.2008.104
   Google Scholar
• Gurgur , C. Z. and Luxhoj , J. T. 2003 . Application of chance constrained programming to capital rationing problems with asymmetrically distributed cash flows and available budget. . The Engineering Economist , 48 : 241 – 258 .
   Google Scholar
• Gurgur , C. Z. and Morley , T. 2008 . Lockheed Martin Space Systems Company optimizes infrastructure project portfolio selection. . Interfaces , 38 : 265 – 281 .
   Google Scholar
• Hayes , J. W. 1989 . Dual variables in pure capital rationing linear programming formulation. . The Engineering Economist , 34 : 255 – 260 .
   Google Scholar
• Hillier , F. S. 1972 . A basic model for capital rationing of risk investments. . The Engineering Economist , 17 : 1 – 30 .
   Google Scholar
• Kelle , P. 1987 . Sequential investment planning based on stochastic models. . Engineering Cost and Production Economist , 12 : 205 – 209 .
   Google Scholar
• Kellerer , H. , Pferschy , U. and Pisinger , D. 2004 . Knapsack Problems , Berlin : Springer .
   Google Scholar
• Kleywegt , A. J. and Papastavrou , J. D. 1998 . The dynamic and stochastic knapsack problem. . Operations Research , 46 : 17 – 35 .
   Web of Science ®Google Scholar
• Kleywegt , A. J. and Papastavrou , J. D. 2001 . The dynamic and stochastic knapsack problem with random sized items. . Operations Research , 49 : 26 – 41 .
   Web of Science ®Google Scholar
• Morita , H. , Ishii , H. and Nishida , T. 1989 . Stochastic linear knapsack programming problem and its application to a portfolio selection problem. . European Journal of Operations Research , 40 : 329 – 336 .
   Web of Science ®Google Scholar
• Naslund , B. 1966 . A model of capital budgeting under risk. . The Journal of Business , 39 : 257 – 271 .
   Google Scholar
• Perry , T. C. and Hartman , J. C. 2009 . An approximate dynamic programming approach to solving a dynamic, stochastic multiple knapsack problem. . International Transactions in Operational Research , 16 : 347 – 359 .
   Google Scholar
• Sarper , H. 1993 . Capital rationing under risk: a chance constrained approach using uniformly distributed cash flows and budgets. . The Engineering Economist , 39 : 49 – 76 .
   Google Scholar
• Steinberg , E. and Parks , M. S. 1979 . A preference order dynamic program for a knapsack problem with stochastic rewards. . Journal of the Operational Research Society , 30 : 141 – 147 .
   Web of Science ®Google Scholar
• Vajda , S. 1972 . Probabilistic Programming , New York : Academic Press .
   Google Scholar
• Weingartner , H. M. 1963 . Mathematical Programming and the Analysis of Capital Budgeting Problems , Englewood Cliffs, NJ : Prentice Hall .
   Google Scholar
• Weingartner , H. M. 1966 . Capital budgeting of interrelated projects: survey and synthesis. . Management Science , 12 : 485 – 516 .
   Google Scholar