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Proceedings of the 7th International Symposium on Process Systems Engineering - July 16-21, 2000 - Keyston, Colorado, USA - Foreword Reklaitis GV, Siirola JJ |
161 - 161 |
Manufacturing and the internet - we haven't seen anything yet! McMeekin R |
163 - 173 |
Planning, scheduling and control systems: why can they not work together Shobrys DE, White DC |
175 - 181 |
Comparison of statistical process monitoring methods: application to the Eastman challenge problem Kano M, Nagao K, Hasebe S, Hashimoto I, Ohno H, Strauss R, Bakshi B |
183 - 188 |
On-line optimization via off-line parametric optimization tools Pistikopoulos EN, Dua V, Bozinis NA, Bemporad A, Morari M |
189 - 194 |
Incorporation of dynamic behaviour in an automated process synthesis system Fraga ES, Hagemann J, Estrada-Villagrana A, Bogle IDL |
195 - 201 |
The two-level strategy for MINLP synthesis of process flowsheets under uncertainty Pintaric ZN, Kravanja Z |
203 - 208 |
Process design for maintainability: an optimization approach Pistikopoulos EN, Vassiliadis CG, Papageorgiou LG |
209 - 215 |
Nonlinear behavior of reactor-separator-recycle systems Bildea CS, Dimian AC, Iedema PD |
217 - 223 |
Three-distribution-parameter general model for reactor network synthesis Hua KL, Li YR, Hu SY, Shen JZ |
225 - 229 |
Convex attainable region projections for reactor network synthesis Rooney WC, Hausberger BP, Biegler LT, Glasser D |
231 - 237 |
Binary distillation re-visited using the attainable region theory Kauchali S, McGregor C, Hildebrandt D |
239 - 245 |
A new configuration of ideal heat integrated distillation columns (HIDiC) Nakaiwa M, Huang K, Naito K, Endo A, Owa M, Akiya T, Nakane T, Takamatsu T |
247 - 252 |
The synthesis of thermally coupled distillation flowsheets for separations of five-component mixtures Rong BG, Kraslawski A, Nystrom L |
253 - 259 |
Determination of optimal energy efficient separation schemes based on driving forces Bek-Pedersen E, Gani R, Levaux O |
261 - 266 |
Simultaneous design and control optimisation under uncertainty Bansal V, Perkins JD, Pistikopoulos EN, Ross R, van Schijndel JMG |
267 - 272 |
Control design for increased profit Contreras-Dordelly JL, Marlin TE |
273 - 278 |
Decentralized control design for nonlinear plants: a v-metric approach Li HZ, Lee PL, Bahri P, Cameron IT |
279 - 284 |
Self-scheduled H-infinity output feedback control of descriptor systems Rehm A, Allgower F |
285 - 290 |
Real-time MPC supervisory system Leung D, Romagnoli J |
291 - 296 |
Application of multivariate statistical process control to batch operations Lennox B, Hiden HG, Montague GA, Kornfeld G, Goulding PR |
297 - 302 |
Formal implementation of procedural controllers for event-driven sequential systems in chemical processes Chavoya A, Sanchez A, Lano K |
303 - 308 |
Design and verification of the SFC program for sequential Control Fujino K, Imafuku K, Yamashita Y, Nishitani H |
309 - 315 |
A control-relevant model reduction technique for nonlinear systems Lee KS, Eom Y, Chung JW, Choi J, Yang DY |
317 - 322 |
Distillation stability using passivity and thermodynamics Coffey DP, Ydstie BE, Farschman CA |
323 - 328 |
The curse of reality - why process scheduling optimization problems are difficult in practice Honkomp SJ, Lombardo S, Rosen O, Pekny JF |
329 - 335 |
A model predictive framework for planning and scheduling problems: a case study of consumer goods supply chain Bose S, Pekny JF |
337 - 343 |
Hybrid mixed-integer/constraint logic programming strategies for solving scheduling and combinatorial optimization problems Harjunkoski I, Jain V, Grossman IE |
345 - 351 |
Autonomous decentralized scheduling system for just-in-time production Nishi T, Sakata A, Hasebe S, Hashimoto I |
353 - 359 |
Utilization of processing time windows to enhance planning and scheduling in short tem multipurpose batch plants Rodrigues LA, Graells M, Canton J, Gimeno L, Rodrigues MTM, Espuna A, Puigjaner L |
361 - 367 |
Approximation of an ideal online scheduler for a multiproduct batch plant Sand G, Engell S, Markert A, Schultz R, Schulz C |
369 - 376 |
Optimal scheduling of a resource-constrained multiproduct batch plant supplying intermediates to nearby end-product facilities Mendez CA, Cerda J |
377 - 383 |
Scheduling of pipeless batch plants using constraint satisfaction techniques Huang W, Chung PWH |
385 - 392 |
Synthesis of safe operating procedure for multi-purpose batch processes using SMV Kim J, Moon I |
393 - 400 |
A genetic algorithm for online-scheduling of a multiproduct polymer batch plant Wang KF, Lohl T, Stobbe M, Engell S |
401 - 407 |
Operation and maintenance integration to improve safety Zhao YY, Lu ML, Yuan Y |
409 - 414 |
Knowledge discovery from process operational data for assessment and monitoring of operator's performance Sebzalli YM, Li RF, Chen FZ, Wang XZ |
415 - 421 |
Open architecture modelling and simulation in process hazard assessment Shacham M, Brauner N, Cutlip MB |
423 - 429 |
Nonlinear dynamic principal component analysis for on-line process monitoring and diagnosis Lin WL, Qian Y, Li XX |
431 - 437 |
A fast training neural network and its updation for incipient fault detection and diagnosis Rengaswamy R, Venkatasubramanian V |
439 - 444 |
Dynamic optimization based fault accommodation Huang YJ, Reklaitis GV, Venkatasubramanian V |
445 - 451 |
A multiscale, Bayesian and error-in-variables approach for linear dynamic data rectification Ungarala S, Bakshi BR |
453 - 456 |
Gas pipeline leak detection system using the online simulation method Fukushima K, Maeshima R, Kinoshita A, Shiraishi H, Koshijima I |
457 - 462 |
An object/agent based environment for the Computer Integrated Process Operation System Qian Y, Huang QM, Lin WL, Li XX |
463 - 469 |
Application driven approach for the development of a data model standard for process plant operation Lu ML, Yang AD, Li HS, Wada T |
471 - 474 |
Supervised learning for the analysis of process operational data Yamashita Y |
475 - 480 |
Optimal operation of quality controlled product storage Yi GB, Suh KH, Lee B, Lee ES |
481 - 486 |
Development of high performance operational strategies for polymerization reactor de Toledo ECV, Martini RF, Maciel R |
487 - 493 |
Customized solvers for the operational planning and scheduling of utility systems Strouvalis AM, Heckl I, Friedler F, Kokossis AC |
495 - 499 |
Operation of a bench-scale ideal heat integrated distillation column (HIDiC): an experimental study Naito K, Nakaiwa M, Huang K, Endo A, Aso K, Nakanishi T, Nakamura T, Noda H, Takamatsu T |
501 - 506 |
Development of data reconciliation for dynamic nonlinear system: application the polymerization reactor Barbosa VP, Wolf MRM, Fo RM |
507 - 512 |
Industrial application of Wavelet Transform to the on-line prediction of side draw qualities of crude unit Jiang TW, Chen BZ, He XR |
513 - 517 |
Real-time classification of petroleum products using near-infrared spectra Kim M, Lee YH, Han CG |
519 - 524 |
Multi-dimensional object oriented approach for automatic generation of control recipes Aoyama A, Yamadai I, Batres R, Naka Y |
525 - 531 |
Industrial implementation of a real-time optimization strategy for maximizing production of LPG in a FCC unit Zanin AC, de Gouvea MT, Odloak D |
533 - 538 |
On-line dynamic optimization of olefins plants Nath R, Alzein Z |
539 - 544 |
A formulation of the collaboration mechanism for integrated abnormal situation management Yang AD, Lu ML |
545 - 549 |
A hybrid strategy for batch process hazards analysis Viswanathan S, Shah N, Venkatasubramanian V |
551 - 556 |
Mind state estimation for operator support Kurooka T, Yamashita Y, Nishitani H |
557 - 567 |
University-industry cooperative study on plant operations Nishitani H, Kawamura T, Suzuki G |
569 - 575 |
Self-optimizing control: the missing link between steady-state optimization and control Skogestad S |
577 - 583 |
Computation of optimal actuator locations for nonlinear controllers in transport-reaction processes Antoniades C, Christofides PD |
585 - 590 |
An industrial experience with product quality control in semi-batch processes Yabuki Y, Nagasawa T, MacGregor JF |
591 - 598 |
A systems approach to mathematical modeling of industrial processes Linninger AA, Chowdhry S, Bahl V, Krendl H, Pinger H |
599 - 605 |
Integration of data models for process design - first steps and experiences Bayer B, Schneider R, Marquardt W |
607 - 612 |
The integration of process simulation in operational analysis Watson DR, Dzirbik D, Rudolph J, Joglekar GS |
613 - 618 |
Exergoeconomic methodology for analysis and optimization of process systems Zhang GX, Hua B, Chen QL |
619 - 624 |
Delayed sampling approach to stochastic programming in chemical processes Hou KF, Li YR, Shen JZ, Hu SY |
625 - 630 |
A new index 2 Runge-Kutta method for the simulation of batch and discontinuous processes Williams R, Cameron I, Burrage K |
631 - 637 |
Reliable nonlinear parameter estimation using interval analysis: error-in-variable approach Gau CY, Stadtherr MA |
639 - 644 |
Visualization of stage calculations in ternary reading mixtures Lee JW, Westerberg AW |
645 - 651 |
Computer aided design and analysis of separation processes with electrolyte systems Takano K, Gani R, Ishikawa T, Kolar P |
653 - 658 |
A general framework for the integration of computational fluid dynamics and process simulation Bezzo F, Macchietto S, Pantelides CC |
659 - 664 |
Risk management in the development of new products in highly regulated industries Blau G, Mehta B, Bose S, Pekny J, Sinclair G, Keunker K, Bunch P |
665 - 670 |
Technological information infrastructure for product lifecycle engineering Naka Y, Hirao M, Shimizu Y, Muraki M, Kondo Y |
671 - 676 |
New product design via analysis of historical databases Lakshminarayanan S, Fujii H, Grosman B, Dassau E, Lewin DR |
677 - 683 |
A multi-step and multi-level approach for computer aided molecular design Harper PM, Gani R |
685 - 691 |
Integrated product engineering: a hybrid evolutionary framework Ghosh P, Sundaram A, Venkatasubramanian V, Caruthers JM |
693 - 699 |
Modeling and optimization of DNA recombination Moore GL, Maranas CD, Gutshall KR, Brenchley JE |
701 - 704 |
Design of novel pharmaceutical products via combinatorial optimization Siddhaye S, Camarda KV, Topp E, Southard M |
705 - 710 |
Novel chemicals for clean and efficient processes using stochastic optimization Marcoulaki EC, Kokossis AC, Batzias FA |
711 - 716 |
Recursive MILP model for finding all the alternate optima in LP models for metabolic networks Lee S, Phalakornkule C, Domach MM, Grossmann IE |
717 - 720 |
Synthesis of purification tags for optimal downstream processing Steffens MA, Fraga ES, Bogle IDL |
721 - 727 |
An approach to potential risk analysis of networked chemical plants Shindo A, Yamazaki H, Toki A, Maeshima R, Koshijima I, Umeda T |
729 - 734 |
Cooperative problem solving in diagnostic agents for chemical processes Eo SY, Chang TS, Shin DG, Yoon ES |
735 - 741 |
Design of sensor location based on various fault diagnostic observability and reliability criteria Bhushan M, Rengaswamy R |
743 - 748 |
Robust alarm generation strategy Tsai CS, Chang CT, Yu SW, Kao CS |
749 - 753 |
An Integral approach to dynamic data rectification Kong MF, Chen BZ, Li B |
755 - 760 |
Advanced process monitoring using an on-line non-linear multiscale principal component analysis methodology Fourie SH, de Vaal P |
761 - 767 |
A fault detection and diagnosis for the continuous process with load-fluctuations using orthogonal wavelets Tsuge Y, Hiratsuka K, Takeda K, Matsuyama H |
769 - 775 |
Detection and classification of abnormal process situations using multidimensional wavelet domain hidden Markov trees Bakhtazad A, Palazoglu A, Romagnoli JA |
777 - 784 |
Neural network based framework for fault diagnosis in batch chemical plants Ruiz D, Nougues JM, Calderon Z, Espuna A, Puigjaner L |
785 - 791 |
Challenges in the industrial applications of fault diagnostic systems Dash S, Venkatasubramanian V |
793 - 799 |
Model predictive control of nonlinear systems using piecewise linear models Ozkan L, Kothare MV, Georgakis C |
801 - 807 |
Robust optimal control and estimation of constrained nonlinear processes El-Farra NH, Christofides PD |
809 - 814 |
Sequential loop closing identification of multivariable process models Choi JY, Lee J, Jung JH, Lee M, Han CH |
815 - 821 |
Anti-saturation discrete-time nonlinear controllers and observers Hashimoto Y, Matsumoto K, Matsuo T, Hamaguchi T, Yoneya A, Togari Y |
823 - 827 |
Constrained linear quadratic optimal control of chemical processes Choi JH, Ko HS, Lee KS |
829 - 834 |
Robust model predictive control under chance constraints Li P, Wendt M, Wozny G |
835 - 840 |
Robust inferential control using kernel density methods Goulding PR, Lennox B, Chen Q, Sandoz DJ |
841 - 846 |
Towards automatic decentralized control structure selection Jorgensen JB, Jorgensen SB |
847 - 852 |
Computational method for decentralized integral controllability of low dimensional processes Lee J, Edgar TF |
853 - 858 |
Application of feedforward artificial neural networks to improve process control of PID-based control algorithms Martins FG, Coelho MAN |
859 - 862 |
PID neural networks for time-delay systems Shu HL, Pi YG |
863 - 870 |
Optimisation and control of an industrial surfactant reactor Khuu SM, Rodriguez JA, Romagnoli JA, Ngian KF |
871 - 877 |
A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns Park S, Han CH |
879 - 885 |
Semicontinuous, middle-vessel, extractive distillation Phimister JR, Seider WD |
887 - 892 |
Dynamic simulation and nonlinear control system design of a heterogeneous azeotropic distillation column Kurooka T, Yamashita Y, Nishitani H, Hashimoto Y, Yoshida M, Numata M |
893 - 899 |
Operation and decoupling control of a heterogeneous azeotropic distillation column Chien IL, Chen WH, Chang TS |
901 - 907 |
Study of the divided wall column controllability: influence of design and operation Serra M, Perrier M, Espuna A, Puigjaner L |
909 - 915 |
CVP-based optimal control of an industrial depropanizer column Fikar M, Latifi MA, Corriou JP, Creff Y |
917 - 923 |
The effects of design variables on the stabilizing control of continuous DTB crystallizers Hamamura T, Sotowa KI, Hasebe S, Hashimoto I |
925 - 930 |
A self-tuning adaptive control applied to an industrial large scale ethanol production Meleiro LAC, Maciel R |
931 - 936 |
A study on the evaluation and improvement of structural controllability of chemical processes Kim Y, Lee B, Eo S, Yoon ES |
937 - 943 |
Design of multivariable controller based on neural networks Ender L, Maciel R |
945 - 951 |
Modeling, simulation and nonlinear control of a gas-phase polymerization process Sato C, Ohtani T, Nishitani H |
953 - 958 |
Integrated quality and tracking control of a batch PMMA reactor using a QBMPC technique Chae DC, Chin I, Lee KS, Rho H, Rhee H, Lee JH |
959 - 966 |
Product design Westerberg AW, Subrahmanian E |
967 - 973 |
Integration of design and control through model analysis Russel BM, Henriksen JP, Jorgensen SB, Gani R |
975 - 981 |
Integrated conceptual design of stirred tank reactors by periodic dynamic optimization Cruse A, Marquardt W, Allgor RJ, Kussi J |
983 - 989 |
Large-scale dynamic optimization of a low density polyethylene plant Cervantes A, Tonelli S, Brandolin A, Bandoni A, Biegler L |
991 - 996 |
Strategic design of reverse production systems Realff MJ, Ammons JC, Newton D |
997 - 1003 |
A supporting system for evaluation and review of business process through activity-based approach Shimizu Y, Sahara Y |
1005 - 1011 |
A simulation-optimization framework for addressing combinatorial and stochastic aspects of an R&D pipeline management problem Subramanian D, Pekny JF, Reklaitis GV |
1013 - 1021 |
Assigning projects to optimize the utilization of employees' time and expertise Bassett M |
1023 - 1029 |
Determining marginal values of intermediate materials and utilities using a site model Hui CW |
1031 - 1036 |
Quality assurance aspects in biochemical and chemical information technology Diospatonyi I, Syposs Z, Viczian Z, Kollar G, Lang-Lazi M |
1037 - 1041 |
Quantitative business decision-making for the investment of preventing safety accidents in chemical plants Yoon H, Lee H, Moon I |
1043 - 1048 |
Planning of waste reduction strategies under uncertainty Linninger AA, Chakraborty A, Colberg RD |
1049 - 1055 |
Integrating complex economic objectives with the design and planning of offshore oilfield infrastructures van den Heever SA, Grossmann IE, Vasantharajan S, Edwards K |
1057 - 1062 |
An interactive web-based decision support system for hazardous industry land-use planning Cameron IT |
1063 - 1068 |
An RT-Linux based control system of a pilot plant for reaction kinetics and process control studies Romanenko A, Castro JAAM |
1069 - 1075 |
Performance of different types of controllers in tracking optimal temperature profiles in batch reactors Aziz N, Hussain MA, Mujtaba IM |
1077 - 1082 |
Interaction between thermal efficiency and dynamic controllability for heat-integrated reactors Chen YH, Yu CC |
1083 - 1089 |
Multivariable gain-scheduled fuzzy logic control of a fluidized catalytic cracker unit Sarma P, Rengaswamy R |
1091 - 1097 |
Dynamics and control during startup of heat integrated distillation column Eden MR, Koggersbol A, Hallager L, Jorgensen SB |
1099 - 1103 |
Soft sensors development for on-line bioreactor state estimation de Assis AJ, Maciel R |
1105 - 1109 |
Semi-realtime optimization and control of a fed-batch fermentation system Zuo K, Wu WT |
1111 - 1117 |
Development of switched predictive control system for continuous purification process of bioproducts Mattedi A, Maciel R |
1119 - 1126 |
Model-based optimization and control of chromatographic processes Klatt KU, Hanisch F, Dunnebier G, Engell S |
1127 - 1133 |
Repetitive model predictive control applied to a simulated moving bed chromatography system Natarajan S, Lee JH |
1135 - 1141 |
Agent-based information flow for process industries' supply chain modelling Garcia-Flores R, Wang XZ, Goltz GE |
1143 - 1149 |
Dynamic modeling and classical control theory for supply chain management Perea E, Grossmann I, Ydstie E, Tahmassebi T |
1151 - 1158 |
Supply chain optimization of continuous process industries with sustainability considerations Zhou ZY, Cheng SW, Hua B |
1159 - 1165 |
Integration in hierarchical structures for batch process operations Rickard JG, Colantonio MC, Macchietto S, Shah N |
1167 - 1173 |
Optimal operation processes of discrete-continuous biochemical processes Chekhova E, Barton PI, Gorak A |
1175 - 1180 |
A framework for batch-operation analysis within the context of disturbance management Schumacher J |
1181 - 1186 |
The use of dynamic simulation to develop control strategies for emergency situations Dolph G |
1187 - 1193 |
Batch process modeling for optimization using reinforcement learning Martinez EC |
1195 - 1200 |
Process synthesis and optimisation tools for environmental design: methodology and structure Alexander B, Barton G, Petrie J, Romagnoli J |
1201 - 1207 |
Dynamic optimization using a wavelet based adaptive control vector parameterization strategy Binder T, Cruse A, Villar CAC, Marquardt W |
1209 - 1213 |
A process alternative generator for process chemistry development Miller DC, Huo P |
1215 - 1221 |
Reaction path synthesis for a mass closed-cycle system Li MH, Hu SY, Li YR, Shen JZ |
1223 - 1228 |
Modeling and optimizing for heat exchanger networks synthesis based on expert system and exergo-economic objective function Li ZH, Hua B |
1229 - 1235 |
Simultaneous retrofit of complex and energy intensive processes-III Kovac AK, Glavic P |
1237 - 1242 |
Energy savings in the total site - Heat integration across many plants Bagajewicz M, Rodera H |
1243 - 1246 |
Exergy analysis involving resource utilization and environmental influence Wang YF, Feng X |
1247 - 1251 |
Developing an educational software for heat exchangers and heat exchanger networks projects Lona LMF, Fernandes FAN, Rogue MC, Rodrigues S |
1253 - 1259 |
Using models in different stages of process life-cycle Sundquist S, Ilme J, Maatta L, Turunen I |
1261 - 1267 |
Statistical tools for optimal dynamic model building Asprey SP, Macchietto S |
1269 - 1274 |
Effect of regression approach in the estimation of nonlinear model parameters on process design and simulation: applications to kinetic and thermodynamic models Xin Y, Vasquez VR, Whiting WB |
1275 - 1280 |
'Costing' distillation systems from residue curve based designs Glasser D, Hildebrandt D, Hausberger B |
1281 - 1286 |
A composition estimator for multicomponent flash drum using recursive equation error method Lee TC, Lee KS, Yoon TW, Yang DR |
1287 - 1292 |
Adaptive model reduction and simulation of thermal cracking of multicomponent hydrocarbon mixtures Briesen H, Marquardt W |
1293 - 1300 |
Modeling and basic characteristics of novel integrated dehydrogenation-hydrogenation membrane catalytic reactors Elnashaie SSEH, Moustafa T, Alsoudani T, Elshishini SS |
1301 - 1307 |
Optimal design of supercritical fluid processes Espinosa S, Diaz S, Brignole EA |
1309 - 1315 |
Rigorous modeling and simulation of molecular distillators: development of a simulator under conditions of non ideality of the vapor phase Batistella CB, Maciel MRW, Maciel R |
1317 - 1322 |
A novel design for vapor recovery units Lu EX, Zhang HJ, Zhu XL |
1323 - 1329 |
Reliability design of operating procedures for dehydrator regeneration Wang YS, Teng H, Yao PJ, Qian XH, Li MJ, Jin YC |
1331 - 1336 |
Rigorous MINLP model for ethanol dehydration system Lelkes Z, Szitkai Z, Rev E, Fonyo Z |
1337 - 1341 |
Optimization of cyclical process for CO coupling regeneration reactions Wang BW, Ma XB, Xu GH, Mao LF |
1343 - 1348 |
Modeling and optimization of herb leaching processes Hou KF, Zheng Q, Li YR, Shen JZ, Hu SY |
1349 - 1353 |
The economics of the detailed design of heat exchanger networks using the Bell Delaware method Roque MC, Lona LMF |
1355 - 1360 |
Process modelling development through artificial neural networks and hybrid models Zorzetto LFM, Maciel R, Wolf-Maciel MR |
1361 - 1366 |
Generalized branch-and-cut framework for mixed-integer nonlinear optimization problems Kesavan P, Barton PI |
1367 - 1367 |
Education in process systems engineering - Past, present and future Perkins J |
1369 - 1374 |
An integrated approach to process design instruction Lewin DR, Seider WD, Seader JD |
1375 - 1380 |
A course in environmentally conscious chemical process design Brennecke JF, Stadtherr MA |
1381 - 1385 |
Web-based interactive virtual laboratory system for unit operations and process systems engineering education Shin D, Yoon ES, Park SJ, Lee ES |
1387 - 1394 |
Throughput analysis and debottlenecking of integrated batch chemical processes Koulouris A, Calandranis J, Petrides DP |
1395 - 1401 |
A systematic approach to the design of buffer tanks Faanes A, Skogestad S |
1403 - 1408 |
MINLP synthesis and modified attainable region analysis of reactor networks in overall process schemes using more compact reactor superstructure Pahor B, Irsic N, Kravanja Z |
1409 - 1419 |
Integrating environmental impact minimization into conceptual chemical process design - a process systems engineering review Yang YQ, Shi L |
1421 - 1427 |
Inherently safer analysis of the attainable region process for the adiabatic oxidation of sulfur dioxide Book NL, Challagulla VUB |
1429 - 1435 |
Homoazeotropic distillation of maximum azeotropes in a batch rectifier with continuous entrainer feeding II. Rigorous simulation results Lang P, Modla G, Kotai B, Lelkes Z, Moszkowicz P |
1437 - 1444 |
An approach to optimal design of batch processes with waste minimization Yao ZL, Yuan XG |
1445 - 1453 |
Pollution prevention targets through integrated design and operation Noureldin MB, El-Halwagi MM |
1455 - 1460 |
Synthesis of waste interception and allocation networks using genetic-alopex algorithm Xue DF, Li SJ, Yuan Y, Yao PJ |
1461 - 1466 |
A robust method to obtain optimal and sub-optimal design and retrofit solutions of water utilization systems with multiple contaminants in process plants Bagajewicz MJ, Rivas M, Savelski MJ |
1467 - 1472 |
Process systems knowledge sharing between higher education and industrial practice Weijnen MPC, Herder PM |
1473 - 1479 |
Computer supported collaborative learning for curriculum integration Realff M, Ludovice P, Guzdial M, Morley T, Sukel K |
1481 - 1484 |
A completely real time approach to process control education for process systems engineering students and practitioners Mahoney D, Young B, Svrcek W |
1485 - 1490 |
Web-based interactive learning modules for process control Hough M, Marlin T |
1491 - 1495 |
A direct digital control experiment for graduate and undergraduate chemical engineering students Fileti AMF, Pereira JAFR |
1497 - 1502 |
A development of experimental education program: computer control of multi-stage level control system Jung JH, Lee M, Lee J, Han C |
1503 - 1509 |
Model based control of a four-tank system Gatzke EP, Meadows ES, Wang C, Doyle FJ |
1511 - 1515 |
Use of a network model interface to build spreadsheet models of process systems: a productivity enhancement tool for risk management studies Bose S, Blau GE |
1517 - 1522 |
Development of evaluation algorithms for operator training system Lee S, Jeong I, Moon I |
1523 - 1528 |
CRACKER - a PC based simulator for industrial cracking furnaces Joo E, Lee K, Lee M, Park S |
1529 - 1533 |
Computer-integrated tools for batch process development Zhao JS, Viswanathan S, Zhao CH, Mu FP, Venkatasubramanian V |
1535 - 1541 |
Preliminary design and scheduling of a batch agrochemical plant Schnelle KD |
1543 - 1548 |
A novel modelling and decomposition strategy for overall refinery optimisation Zhang N, Zhu XX |
1549 - 1554 |
An optimal catalyst management strategy for Oxo processes Lang YD, Biegler LT, Maier EE, Majewski RA |
1555 - 1561 |
Optimal grade transition control for polymerization reactors Wang Y, Seki H, Ohyama S, Akamatsu K, Ogawa M, Ohshima M |
1563 - 1568 |
Steady-state operability characteristics of reactors Subramanian S, Georgakis C |
1569 - 1575 |
Optimal operation of a semi-batch reactive distillation column Fernholz G, Engell S, Kreul LU, Gorak A |
1577 - 1583 |
On-line optimization system of pilot scale multi-effect batch distillation system Noda M, Chida T, Hasebe S, Hashimoto I |
1585 - 1589 |
On-line training method of ANN in DMS for side draw quality of refinery fractionator Wu K, He XR, Chen BZ |
1591 - 1596 |
Use of two-stage optimization in model predictive control of stable and integrating systems Lee JH, Xiao J |
1597 - 1602 |
Capacity expansion problem of multisite batch plants with production and distribution Lee HK, Lee IB, Reklaitis GV |
1603 - 1610 |
Scheduling of non-sequential multipurpose batch processes under finite intermediate storage policy Kim SB, Lee HK, Lee IB, Lee ES, Lee B |
1611 - 1617 |
A novel MILP formulation for short-term scheduling of multistage multi-product batch plants Hui CW, Gupta A |
1619 - 1624 |
Decentralized scheduling algorithm to improve the rate of production without increase of stocks of intermediates Takeda K, Tsuge Y, Matsuyama H |
1625 - 1631 |
An investigation on integration of aggregate production planning, master production scheduling and short-term production scheduling of batch process operations through a common data model Das BP, Rickard JG, Shah N, Macchietto S |
1633 - 1640 |
Intermediate storage tank operation strategies in the production scheduling of multi-product batch processes Ha JK, Chang HK, Lee ES, Lee IB, Lee BS, Yi GB |
1641 - 1644 |
Information models for planning and scheduling of chemical processes Book NL, Bhatnagar V |
1645 - 1649 |
Integration of planning and real-time optimization in olefins production Geddes D, Kubera T |
1651 - 1655 |
ePIMA: an electronic environment for process investigation and management analysis Bose S, Subramanian D, Orcun S, Pekny JF |
1657 - 1663 |
Systems thinking and functional modeling of batch process management using projects Martinez EC |
1665 - 1671 |
Homoazeotropic distillation of maximum azeotropes in a batch rectifier with continuous entrainer feeding I. Feasibility studies Lang P, Modla G, Benadda B, Lelkes Z |
1673 - 1679 |
A framework of concurrent process engineering with agent-based collaborative design strategies and its application on plant layout problem Han SY, Kim YS, Lee TY, Yoon T |
1681 - 1687 |
Modeling of a fluidized catalytic cracking process Han IS, Chung CB, Riggs JB |
1689 - 1694 |
Saline extractive distillation process for ethanol purification Pinto RTP, Wolf-Maciel MR, Lintomen L |
1695 - 1701 |
Inclusion of information costs in process design optimization under uncertainty Bernardo FP, Saraiva P, Pistikopoulos EN |
1703 - 1708 |
Design of flexible production system by means of tax-system-like algorithm (TA) Yamaba H, Tomita S |
1709 - 1712 |
Environment and control issues in design Gollapalli U, Dantus MM, High KA |
1713 - 1718 |
Databank transfer-of-information, shortcut and exact estimators used in the wastewater biological treatment process identification Maria G, Maria C, Salcedo R, de Azevedo SF |
1719 - 1723 |
Simulation of an industrial wastewater treatment plant using artificial neural networks Gontarski CA, Rodrigues PR, Mori M, Prenem LF |
1725 - 1730 |
Conceptual design of industrial wastewater treatment processes: primary treatment Freitas ISF, Costa CAV, Boaventura RAR |
1731 - 1735 |
A cape of HDT industrial reactor for middle distillates Cotta RM, Wolf-Maciel MR, Maciel R |
1737 - 1743 |
Dynamic modeling for an optimal design of a cogenerating nuclear gas turbine plant Kikstra JF, Verkooijen AHM |
1745 - 1751 |
The behavior of stirred vessels with anchor type impellers Pedrosa SMCP, Nunhez JR |
1753 - 1757 |
Some applications of salt-water oscillator in Chemical Engineering teaching and process equipment design Moron-Villarreyes JA, da Costa HJB, Kokubun F, Schmitz LC, Castro JA |
1759 - 1759 |
Process systems engineering in an electronic economy: expanding applications and the changing relationship between research and practice Pekny JF |
1761 - 1766 |
Deterministic global optimization and torsion angle dynamics for molecular structure prediction Klepeis JL, Floudas CA |
1767 - 1773 |
A thermodynamic framework for ecologically conscious process systems engineering Bakshi BR |
1775 - 1780 |
Challenges for process systems engineering in infrastructure design Herder PM, Turk AL, Subrahmanian E, Westerberg AW |