作者: Stephen X. Zhang , Vladan Babovic
DOI: 10.1016/J.DSS.2010.12.001
关键词: Project management 、 Decision analysis 、 Real options valuation 、 Genetic algorithm 、 Evolutionary algorithm 、 Strategic planning 、 Portfolio 、 Operations research 、 Decision support system 、 Project portfolio management 、 Computer science
摘要: To address the issue of decision support for designing and managing flexible projects systems in face uncertainties, this paper integrates real options valuation, analysis techniques, Monte Carlo simulations evolutionary algorithms an framework. The proposed framework searches optimized portfolio makes adaptive plans to cope with uncertainties as future unfolds. Exemplified through a test case, not only compares favorably traditional fixed design approaches but also delivers considerable improvements over prevailing practices.