| 1 - 1 |
Special Issue: FOCAPO 2012 Foreword
Pinto JM, Sahinidis NV |
| 2 - 18 |
Advances in mathematical programming models for enterprise-wide optimization
Grossmann IE |
| 19 - 28 |
Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry
Lainez JM, Schaefer E, Reklaitis GV |
| 29 - 56 |
Process synthesis of hybrid coal, biomass, and natural gas to liquids via Fischer-Tropsch synthesis, ZSM-5 catalytic conversion, methanol synthesis, methanol-to-gasoline, and methanol-to-olefins/distillate technologies
Baliban RC, Elia JA, Weekman V, Floudas CA |
| 57 - 66 |
From multi-parametric programming theory to MPC-on-a-chip multi-scale systems applications
Pistikopoulos EN |
| 67 - 75 |
Natural gas enhanced biomass to liquids: Project development and modeling
Chakravarti S, Bonaquist DP, Drnevich RF, Shah MM |
| 76 - 84 |
Smart grid technologies and applications for the industrial sector
Samad T, Kiliccote S |
| 85 - 96 |
Assessment of catastrophe risk and potential losses in industry
Kleindorfer P, Oktem UG, Pariyani A, Seider WD |
| 97 - 110 |
A state-space model for chemical production scheduling
Subramanian K, Maravelias CT, Rawlings JB |
| 111 - 120 |
Monitoring, fault diagnosis, fault-tolerant control and optimization: Data driven methods
MacGregor J, Cinar A |
| 121 - 133 |
Optimal operation: Scheduling, advanced control and their integration
Engell S, Harjunkoski I |
| 134 - 144 |
Process energy systems: Control, economic, and sustainability objectives
Siirola JJ, Edgar TF |
| 145 - 156 |
Smart manufacturing, manufacturing intelligence and demand-dynamic performance
Davis J, Edgar T, Porter J, Bernaden J, Sarli M |
| 157 - 169 |
Addressing the operational challenges in the development, manufacture, and supply of advanced materials and performance products
Wassick JM, Agarwal A, Akiya N, Ferrio J, Bury S, You FQ |
| 170 - 182 |
Optimal design and planning of biodiesel supply chain with land competition
Andersen F, Iturmendi F, Espinosa S, Diaz MS |
| 183 - 193 |
Hybrid simulation based optimization approach for supply chain management
Nikolopoulou A, Ierapetritou MG |
| 194 - 201 |
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations
Legg SW, Benavides-Serrano AJ, Siirola JD, Watson JP, Davis SG, Bratteteig A, Laird CD |
| 202 - 216 |
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions
Palombarini J, Martinez E |
| 217 - 226 |
An improvement-based MILP optimization approach to complex AWS scheduling
Aguirre AM, Mendez CA, Gutierrez G, De Prada C |
| 227 - 236 |
Mid-term planning optimization model with sales contracts under demand uncertainty
Rodriguez MA, Vecchietti A |
| 237 - 247 |
Addressing the uncertain quality and quantity of returns in closed-loop supply chains
Zeballos LJ, Gomes MI, Barbosa-Povoa AP, Novais AQ |
| 248 - 268 |
Integration of scheduling and control with online closed-loop implementation: Fast computational strategy and large-scale global optimization algorithm
Chu YF, You FQ |
