Product Portfolio Management with Discrete-Event Simulation and Genetic Algorithm
نویسندگان
چکیده
This paper presents a discrete-event simulation environment that models the underlying structure of a pharmaceutical enterprise portfolio. An object-oriented model structure previously developed for batch plant scheduling and design is extended to embed the case of product management, which is particularly adequate for re-use of both structure and logic. By wrapping such a simulation with advanced optimization approaches, such as Genetic Algorithms, it becomes possible to evaluate a large set of scenarios for the pharmaceutical enterprise, with a holistic fashion that avoids local optima that can be detrimental to the enterprise.
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