COMPUTER AIDED PROCESS CONTROL

Backx, T. O. Bosgra and W. Marguardt. Integration of Model Predictive Control and Optimization of Processes. ADCHEM Proceedings, pp. 249-259, Pisa, Italy (2000). Baker, T. E. An Integrated Approach to Planning and Scheduling. In Foundations of Computer Aided Process Operations (FOCAPO), D. W. T. Rippin J. C. Hale and J. F. Davis, eds. CACHE Corporation, Austin, TX (1993), pp. 237-252. 

Hong, W., Wang, S., Li, P., Wozny, G., Biegler, L.T., A Quasi-Sequential Approach to Large-Scale Dynamic Optimization Problems, AlChe Journal 52, No. 1 (255), 2006. Dorneanu, B., Bildea, C.S., Grievink, L, On the Application of Model Reduction to Plantwide Control, IT " European Symposium on Computer Aided Process Engineering, Bucharest, Romania, 2007. 

Because functions support goals, yet are controlled by them as well, goals are also allocated to function views—because of the close linkage. In application software, computer-aided processing rules of a function are defined. Thus, application software is closely aligned with functions and is also allocated to function views. 

Chip-form and chip breakabiiity, in combination, indicate the degree of chip control. Unfortunately, no single computer-aided process planning (CAPP) system currently can predict... 

Skogestad, S. Plantwide Control Towards a Systematic Procedure, in Grievink, J., and J. van der Schijndel (eds.). Computer Aided Chemical Engineering-10, European Symposium on Computer Aided Process Engineering-12, Elsevier (2002). 

Seferlis, P., and J. Grievink, Plant Design Based on Economic and Static Controllability Criteria, Proc. of the 5th Int. Conf. of Foundations of Computer-aided Process Design, pp. 346-350, AIChE, New York (1999). 

Poth, N., Frey, Th., Stichlmair, J., MINLP Optimization of Kinetically Controlled Reactive Distillation, 11 Symposium on Computer Aided Process Engineering, Supplementary Proceedings Volume, 2002, 79-84. 

Hottot, A., 2008. Optimal operation of sublimation time of the freeze drying process by predictive control application of the MPC CB software. Proceedings of 18th European Symposium on Computer Aided Process Engineering - ESCAPE18 (eds B. Braunschweig, X. Joulia). Lyon,... 

Factory operations functions inclnde manufacturing cost control and estimation, process planning and control, work methods, and qnality control. With the evolution of computers in manufacturing, techniques used in today s factory operations include computer-aided process planning and computer-aided testing. 

Basic Process Control System Computer-aided process engineering Control Group Unit... 

Computer-aided flow-simulation programs are also available for dies. All the programs can successfully predict a certain amount of shrinkage under specific conditions that can be applied to experience. The actual shrinkage is finally determined after molding or extruding the products. When not in spec process control changes can meet the requirements unless some drastic error had been included in the analysis. 

The correct interpretation of measured process data is essential for the satisfactory execution of many computer-aided, intelligent decision support systems that modern processing plants require. In supervisory control, detection and diagnosis of faults, adaptive control, product quality control, and recovery from large operational deviations, determining the mapping from process trends to operational conditions is the pivotal task. Plant operators skilled in the extraction of real-time patterns of process data and the identification of distinguishing features in process trends, can form a mental model on the operational status and its anticipated evolution in time. 

Fritz, M., Liefeldt, A. and Engell, S. (1999) Recipe-driven batch processes Event handling in hybrid system simulation. Proceedings of 1999 IEEE International Symposium on Computer Aided Control System Design (CACSD 99), Hawaii, USA, pp. 138-143. 

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