Multicriterial Design of Pharmaceutical Plants in Strategic Plant Management Using Methods of Computational Intelligence

Marion Steven () and David Schoebel ()
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Marion Steven: Ruhr-Universität
David Schoebel: Bayer Healthcare

A chapter in Operations Research Proceedings 2007, 2008, pp 375-380 from Springer

Abstract: Abstract The SEMCAIP (Simulation-based Evolutionary and Multiobjective Configuration of Active Ingredient Plants) decision support system offers support in designing active pharmaceutical ingredient plants within an interdisciplinary group decision-making process. Instead of sequential decision finding, an integrated consensus is reached between different decision makers. The system combines business management models derived from production theory with the process simulation used in process technology. Control of the model calculation with the selection of suitable solutions according to the Pareto principle is exercised by a hierarchical evolution strategy developed in this study. The elaborated decision support system is intended as an instrument to replace conventional, stand-alone use of an investment calculation following the establishment of a technical plant concept.

Keywords: Decision Support System; Sequential Decision; Pareto Principle; Ingredient Plant; Pharmaceutical Plant (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-77903-2_58

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DOI: 10.1007/978-3-540-77903-2_58

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