Simulation-optimization mechanism for expansion strategy using real option theory

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 829-837

  Yuan, Fong Ching ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Expansion strategy; Monte Carlo simulation; Net present value (NPV); Real options; Simulation optimization

Indexed keywords

COMPETITION; ECONOMICS; EXPANSION; INDUSTRIAL ECONOMICS; INVESTMENTS; MONTE CARLO METHODS; RISK ASSESSMENT; RISK PERCEPTION;

EXPANSION STRATEGY; MONTE CARLO SIMULATION; NET PRESENT VALUE (NPV); REAL OPTIONS; SIMULATION-OPTIMIZATION;

OPTIMIZATION;

EID: 53849144342     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.10.031     Document Type: Article

References (29)

1. Andradottir, S. (1998). A review of simulation optimization techniques. In Simulation conference 1998. Proceedings of the winter (Vol. 1, pp. 151-158).
2. Amram M., and Kulatilaka N. Real options: Managing strategic investment in an uncertain world (1999), Boston: Harvard Business School Press
3. Azadivar F., and Tompkins G. Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach. European Journal of Operational Research 113 1 (1999) 169-182
4. Baesler, F. F., & Sepulveda, J. A. (2000). Multi-response simulation optimization using stochastic genetic search within a goal programming framework. In Proceedings of the 2000 winter simulation conference (pp. 788-794). The society for computer simulation, international, San Diego.
5. Boesel, J., Nelson, B. L., & Ishii, N. (1999). A Framework for simulation-optimization software. Technical Report, Department of Industrial Engineering and Management Science, Northwestern University.
6. Boyle P.P., Evnine J., and Gibbs S. Numerical evaluation of multivariate contingent claims. The Review of Financial Studies 2 2 (1989) 241-250
7. Coley D.A. An introduction to genetic algorithms for scientists and engineers (1999), World Scientific, Singapore
8. Fogel D.B. A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems. Simulation 64 6 (1995) 399-406
9. Garrison R.H., and Noreen E.W. Managerial accounting10/e (2003), McGraw-Hill
10. Glover, F. (1994). Tabu search fundamentals and uses. glover_fcubldr.Colorado.edu.
11. Glover F., and Laguna M. Tabu search (1993), Blackwell Scientific Publications, Oxford
12. Goldberg D.E. Genetic algorithms in search. Optimization and machine learning (1989), Addison-Wesley, Reading, MA
13. Hilton R.W. Managerial accounting (2004), McGraw-Hill
14. Holland J.H. Adaptation in natural and artificial systems (1975), University of Michigan Press, Ann Arbor, MI
15. Hull J. Options, futures, and other derivatives securities. 5th ed. (2003), Prentice Hall, Englewood Cliffs, N.J.
16. Kaplan R.S. Must CIM be justified by faith alone?. Harvard Business Review 64 2 (1986) 87-97
17. Kamrad B., and Ritchken P. Multinomial approximating models for options with k state variables. Management Science 37 12 (1991) 1640-1653
18. Luehrman T.A. Investment opportunities as real options: Getting started on the numbers. Harvard Business Review 76 (1998) 3-15
19. Luenberger D.G. Investment science (1998), Oxford University Press, Oxford
20. Macmillan L. Analytic approximation for the American put option. Advances in Futures and Options Research 1 (1986) 119-139
21. Nembhard H.B., Shi L., and Aktan M. A real options design for quality control charts. The Engineering Economist 47 1 (2002) 28-59
22. Nembhard H.B., Shi L., and Aktan M. A real options design for product outsourcing. The Engineering Economist 48 3 (2003) 199-217
23. Obaidat M.S. Simulation of queuing models in computer system. In: Ozekici S. (Ed). Queuing theory and application (1990), Hemisphere 111-151
24. Putro U.S., Kijima K., and Takahashi S. Simulation approach to learning problem in hypergame situation by genetic algorithm. IEEE International Conference on Systems, Man, and Cybernetics 4 (1999) 260-265
25. Silva, J. C. A., & Kirner, C. (1997). A new approach for genetic algorithm as a support to the simulation of complex systems. IEEE International Conference on Systems, Man, and Cybernetics (Vol. 2, pp. 1251-1256). Orlando, FL, New York (USA).
26. Smith J.E., and McCardle K.F. Valuing oil properties: Integrating option pricing and decision analysis approaches. Operations Research 46 2 (1998) 198-217
27. Spinney P.J., and Watkins G.C. Monte Carlo simulation techniques and electric utility resource decisions. Energy Policy 24 2 (1996) 155-163
28. Swisher, J. R., Hyden, P. D., Jacobson, S. H., Schruben, L. W. (2000). A survey of simulation optimization techniques and procedures. In Simulation conference 2000, Proceedings of the winter (Vol. 1, pp. 119-128)
29. Trigeorgis L. Real options (1996), MIT Press, Cambridge, MA