1 - 9 |
The importance of the sequential synthesis methodology in the optimal distillation sequences design Errico M, Rong BG, Torres-Ortega CE, Segovia-Hernandez JG |
10 - 20 |
Bifurcation analysis of dynamic process models using Aspen Dynamics (R) and Aspen Custom Modeler (R) Restrepo JB, Olivar G, Cardona CA |
21 - 36 |
Multi-objective optimization of industrial waste management in chemical sites coupled with heat integration issues Capon-Garcia E, Papadokonstantakis S, Hungerbuhler K |
37 - 55 |
Robust decision making for hybrid process supply chain systems via model predictive control Mastragostino R, Patel S, Swartz CLE |
56 - 61 |
A systematic study of solvent effect on the crystal habit of dirithromycin solvates by computer simulation Liang ZZ, Yi QH, Wang W, Han XL, Chen JF, Le Y, Wang JX, Xue CY, Zhao H |
62 - 79 |
A new decomposition algorithm for multistage stochastic programs with endogenous uncertainties Gupta V, Grossmann IE |
80 - 95 |
An SKU decomposition algorithm for the tactical planning in the FMCG industry van Elzakker MAH, Zondervan E, Raikar NB, Hoogland H, Grossmann IE |
96 - 107 |
A consistent momentum interpolation method for steady and unsteady multiphase flows Cubero A, Sanchez-Insa A, Fueyo N |
108 - 116 |
Plantwide control structure selection methodology for the benchmark vinyl acetate monomer plant Psaltis A, Kookos IK, Kravaris C |
117 - 124 |
Representation of a small-scale nozzle for gas-liquid injections into a fluidized bed on a large-scale grid Pougatch K, Salcudean M, Reid K, McMillan J |
125 - 138 |
Computer algebra systems coming of age: Dynamic simulation and optimization of DAE systems in Mathematica (TM) Navarro AKW, Vassiliadis VS |
139 - 160 |
From discretization to regularization of composite discontinuous functions Alsoudani TM, Bogle IDL |
161 - 193 |
Scope for industrial applications of production scheduling models and solution methods Harjunkoski I, Maravelias CT, Bongers P, Castro PM, Engell S, Grossmann IE, Hooker J, Mendez C, Sand G, Wassick J |
194 - 210 |
Optimal supply chain design and management over a multi-period horizon under demand uncertainty. Part I: MINLP and MILP models Rodriguez MA, Vecchietti AR, Harjunkoski I, Grossmann IE |
211 - 224 |
Optimal supply chain design and management over a multi-period horizon under demand uncertainty. Part II: A Lagrangean decomposition algorithm Jiang YH, Rodriguez MA, Harjunkoski I, Grossmann IE |