Abstract | ||
---|---|---|
Control of flexible manufacturing systems (FMS) requires the complex interaction of two components: (1) computers to perform automated control and routing activities, and (2) humans to supervise the automation, to monitor system flows and outputs, and to intervene to diagnose and either correct or compensate for unanticipated events. Current academic FMS scheduling research has focused mainly on the first component in the control loop, development of scheduling algorithms for optimization and control. Here, the second component is included in both the definition of the FMS control problem and the corresponding control approach. A more realistic definition of the FMS control environment is presented using a supervisory control framework. Within this context, the concept of aiding a human operator who supervises the predominantly automated FMS operations is developed |
Year | DOI | Venue |
---|---|---|
1988 | 10.1109/21.21601 | Systems, Man and Cybernetics, IEEE Transactions |
Keywords | Field | DocType |
flexible manufacturing systems,human factors,management,production control,scheduling,FMS,control loop,decision models,flexible manufacturing systems,human factors,optimization,production control,scheduling,supervisory control | Production control,Fair-share scheduling,Computer science,Supervisory control,Computer-integrated manufacturing,Automation,Control engineering,Two-level scheduling,Artificial intelligence,Control system,Machine learning,Manufacturing execution system | Journal |
Volume | Issue | ISSN |
18 | 5 | 0018-9472 |
Citations | PageRank | References |
6 | 1.00 | 27 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ammons, J.C. | 1 | 6 | 1.00 |
T. Govindaraj | 2 | 109 | 31.56 |
C. M. Mitchell | 3 | 141 | 25.01 |