Short term scheduling and control in the batch process industry using hybrid knowledge based simulation

References

• AT&T ISTEL. , 1989 , See-why users handbook .
   Google Scholar
• BARNES , T. A. , and GARDNER , I. L. , 1990 , A simulation model for production scheduling of afacility in a process industry. Proceedings of the 1990 Winter Simulation Conference , O. Balci, R. P. Sadowski and R. E. Nance (eds) ( Piscataway , NJ IEEE ), pp. 609 – 613 .
   Google Scholar
• BHATTACHARYYA , S. K. , ROY , R. , and HUANG , Y. S. , 1989 , Knowledge based simulation techniques for control of FMS. Proceedings of Beijing International Conference in Simulation and Scientific Computing , W. C. Yuan (ed.) , Vol. III ( PRC International Academic Publishers ), pp. 21 – 27 .
   Google Scholar
• BRATKO , I. , 1990 , PROLOG Programming for Artificial Intelligence , 2nd edn ( Wokingham Addison Wesley ).
   Google Scholar
• BRUNO , G. , ELIA , A. , and LAFACE , P. , 1986 , A rule-based system to schedule production. IEEEComputer , 19 , 32 – 39 .
   Web of Science ®Google Scholar
• CRAINE , J. F. , and MARTIN , G. R. , 1985 , Microcomputers in Engineering and Science ( Wokingham , UK Addison Wesley ).
   Google Scholar
• DOUKIDIS , G. I. , 1987 , An anthology on the homology of simulation with artificial intelligence. Journal of the Operational Research Society , 38 ( 8 ), 701 – 712 .
   Web of Science ®Google Scholar
• FAN , I.S. , and SACKETT , P.J. , 1988 , A PROLOG simulator for interactive flexible manufacturing systems control , Simulation , 50 ( 6 ), 239 – 247 .
   Google Scholar
• FISHER , M. W. , 1982 . The application of visual interactive simulation in the management of continuous process chemical plants. PhD thesis. University of Warwick , U.K. .
   Google Scholar
• FLITMAN , A. , 1986 , Towards the application of AI techniques for discrete event simulation , PhD thesis. University of Warwick , U.K. .
   Google Scholar
• Fox , M. S. , 1987 , Constraint Directed Search A Case Study of Job-Shop Scheduling ( London Pitman ).
   Google Scholar
• HAVENS , W. S. , and REHFUSS , P. S. , 1989 , Platypus a constraint-based reasoning system , Proceedings of the llth Joint Conference on Artificial Intelligence ( Palo Alto , CA Morgan Kaufmann ), pp. 48 – 53 .
   Google Scholar
• HOFMANN , A. G. , STANLEY,G. M., and HAWKINSON , L. B. , 1989 , Object-oriented models and their application in real-time expert systems. Simulation and AI , W. Webster (ed.) ( San Diego , CA Society for Computer Simulation ), pp. 27 – 32 .
   Google Scholar
• HOFMEISTER , M. , HALASZ , L. , and RIPPIN , D. W. T. , 1988 , Knowledge-based tools for batch processing systems. Third International. Symposium on Process Systems Engineering , J. D. Perkins and M. L. Brisk (eds) ( New York Pergamon ), pp. 82 – 87 .
   Google Scholar
• JOGLEKAR , G. S. , and REKLAITIS , G. V. , 1984 , A simulator for batch and semi-continuous processes , Computers and Chemical Engineering , 8 ( 6 ), 315 – 327 .
   Web of Science ®Google Scholar
• LAKSHMANAN , R. , and STEPHANOPOULOS , G. , 1988 , Synthesis of operating procedures for complete chemical plants I. Hierarchical, structured modelling for non-linear planning. Computers and Chemical Engineering , 12 ( 9/10 ), 985 – 1002 .
   Web of Science ®Google Scholar
• MACKWORTH , A. K. , 1977 , Consistency in networks of relations. Artificial Intelligence , 8 ( 1 ), 99 – 118 .
   Web of Science ®Google Scholar
• MARSH , B. D. , WILLIAMS , T. M. , and MATHIESON , G. L. , 1990 , The use of mixed Prolog/Fortran for battle simulation. Journal of the Operational Research Society , 41 , 311 – 318 .
   Google Scholar
• MCDERMOTT , J. , 1982 , RI A rule-based configurer of computer systems. Artificial Intelligence , 19 , 39 – 88 .
   Web of Science ®Google Scholar
• MERRITT , D. , 1989 , Building Expert Systems in PROLOG ( New York Springer-Verlag ).
   Google Scholar
• MITTAL , S. , and FREYMAN , F. , 1989 , Towards a generic model of configuration tasks. Proceedings of the llth Joint Conference on Artificial Intelligence ( Palo Alto , CA Morgan Kaufmann ), pp. 1395 – 1401 .
   Google Scholar
• O'KEEFE , R. M. , and HADDOCK , J. , 1991 , Data driven generic simulators for flexible manufacturing systems. International Journal of Production Research , 29 ( 9 ), 1795 – 1810 .
   Web of Science ®Google Scholar
• PAUL , R. J. , 1991 , Recent developments in simulation modelling. Journal of the Operational Research Society , 42 ( 3 ), 217 – 226 .
   Web of Science ®Google Scholar
• PEGDEN , C. D. , SHANNON , R. E. , and SADOWSKI , R. P. , 1990 , Introduction to Simulation using SIMAN ( New York McGraw Hill ).
   Google Scholar
• REDDY , Y. V. , Fox , M. S. , and HUSAIN , N. , 1986 , The knowledge based simulation system. IEEE Software , 3 , 27 – 37 .
   Google Scholar
• REKLAITIS , G. V. , 1982 , Review of scheduling of process operations. AIChE Symposium Series , 214 ( 78 ), 119 – 133 .
   Google Scholar
• ROY , R. , 1992 , Scheduling and capacity management using simulation. In Logistics Technology International , G. Brace (ed.) ( Sterling Publications ), pp. 184 – 187 .
   Google Scholar
• SATHI , N. , FOX , M. S. , GOYAL , R. , and KOTT , A. S. , 1992 , Resource configuration and allocation, a case study of constrained heuristic search. IEEE Expert , April , 26 – 35 .
   Google Scholar
• STEFFEN , M. S. , and GREEN , T. J. , 1986 , An application of hierarchical planning and constraint directed search to scheduling parallel processes , Proceedings of the 1986 IEEE International Conference an Robotics and Automation ( Washington D.C. IEEE Comput. Soc. Press ), pp. 910 – 917 .
   Google Scholar
• VAESSEN , W. , 1989 , ProfiSEE A workbench for visual interactive simulation modelling in the chemical-pharmaceutical industry. OR Spektrum , 11 , 239 – 249 .
   Google Scholar