Simulation-optimization framework for stochastic optimization of R&D pipeline management

The simulation‐based optimization framework (Sim‐Opt) uses a twin‐loop computational architecture, which combines mathematical programming and discrete event simulation, to address this problem. This article extends our earlier work to present methods for integrating information from the inner loop...

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Bibliographic Details
Published in:	AIChE journal Vol. 49; no. 1; pp. 96 - 112
Main Authors:	Subramanian, Dharmashankar, Pekny, Joseph F., Reklaitis, Gintaras V., Blau, Gary E.
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.01.2003 Wiley Subscription Services American Institute of Chemical Engineers
Subjects:	Applied sciences Biological and medical sciences Exact sciences and technology General pharmacology Medical sciences Operational research and scientific management Operational research. Management science Optimization. Search problems Pharmaceutical technology. Pharmaceutical industry Pharmacology. Drug treatments Drug Computer simulation Decision making Project management Linear programming Mixed integer programming Information management Dynamical system Integrated management Optimization Research and development Stochastic programming Product development Pharmaceutical industry Discrete event system
ISSN:	0001-1541, 1547-5905
Online Access:	Get full text
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