An intelligent reactive monitoring and scheduling system

Author

Paul, C.J. ; Holloway, L.E. ; Yan, D. ; Strosnider, J.K. ; Krogh, B.H.

Author_Institution

Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

12

Issue

3

fYear

1992

fDate

6/1/1992 12:00:00 AM

Firstpage

78

Lastpage

86

Abstract

A system developed for monitoring large-scale distributed processes and modifying the control plan in real time, in response to deviations from the planned production schedule, is reported. The monitoring method is based on behavioral models that represent and manipulate both discrete and continuous process dynamics. Reactive scheduling and control is accomplished by combining real-time problem solving and numeric optimization techniques to generate the lowest-cost recovery plan within the time available. The feasibility of recovery strategies is checked online using the behavioral models in a prognostication mode. A prototype system has been implemented using Concurrent Real Time OPS5 (CROPS5) and C++ and runs on the Mach operating system. The system is being extended as a commercial product for online monitoring and reactive scheduling of continuous-caster steel mills.<>

Keywords

computerised monitoring; distributed processing; manufacturing data processing; planning (artificial intelligence); problem solving; production control; real-time systems; steel manufacture; C++; CROPS5; Concurrent Real Time OPS5; Mach operating system; continuous-caster steel mills; intelligent reactive monitoring; large-scale distributed processes; numeric optimization; problem solving; process dynamics; production control; production planning; real time; scheduling; Control systems; Large-scale systems; Manipulator dynamics; Monitoring; Operating systems; Problem-solving; Production systems; Prototypes; Real time systems; Steel;

fLanguage

English

Journal_Title

Control Systems, IEEE

Publisher

ieee

ISSN

1066-033X

Type

jour

DOI

10.1109/37.165523

Filename

165523