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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Vydané v:	AIChE journal Ročník 53; číslo 12; s. 3183 - 3203
Hlavní autori:	Li, Zukui, Ierapetritou, Marianthi G
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.12.2007 Wiley Subscription Services American Institute of Chemical Engineers
Predmet:	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
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