Process scheduling under uncertainty using multiparametric programming

In this article, the problem of process scheduling under uncertainty was studied using multiparametric programming method. Based on the uncertainty type (prices, demands, and processing times), the scheduling formulation results in different parametric problems including multiparametric mixed intege...

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Veröffentlicht in:	AIChE journal Jg. 53; H. 12; S. 3183 - 3203
Hauptverfasser:	Li, Zukui, Ierapetritou, Marianthi G
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.12.2007 Wiley Subscription Services American Institute of Chemical Engineers
Schlagworte:	Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Chemical engineering Economics. Management. Design assessment Exact sciences and technology Linear programming multiparametric programming Nonlinear programming Objective function process scheduling Scheduling Uncertainty Uncertainty multiparametric programming process scheduling Linear programming Mixed integer programming Scheduling Non linear programming Objective function Modeling Mathematical programming
ISSN:	0001-1541, 1547-5905
Online-Zugang:	Volltext
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