DocumentCode :
2077055
Title :
Auto-MPS: an automated master production scheduling system for large volume manufacturing
Author :
Arbon, R. Greg ; Mally, Gregory G. ; Osborne, T.W. ; Riethmeier, Paul R. ; Tharrett, Richard L.
Author_Institution :
Covia Technol., Englewood, CO, USA
fYear :
1994
fDate :
1-4 Mar 1994
Firstpage :
26
Lastpage :
32
Abstract :
The Automated Master Production Scheduler (Auto-MPS) is a hybrid expert scheduling system which performs production scheduling of thousands of assemblies in a high-volume manufacturing environment. It generates schedules based on a set of rules and constraint satisfaction algorithms which reflect the scheduling strategies created by management to meet their customer demand while still controlling inventory and shipping costs. The Auto-MPS also identifies the existence of significant situations which need to be analyzed by management. A graphical user interface that includes sophisticated graphical displays and hypertext based editors allows the user to easily understand the status of the current production schedules and rapidly identify and analyze potential problems. The Auto-MPS has been in production for nearly two years and has significantly improved the scheduling processes at AlliedSignal Safety Restraint Systems
Keywords :
computer aided production planning; graphical user interfaces; hypermedia; production control; AlliedSignal Safety Restraint Systems; Auto-MPS; Automated Master Production Scheduler; constraint satisfaction algorithms; customer demand; graphical displays; graphical user interface; hybrid expert scheduling system; hypertext based editors; inventory costs; large volume manufacturing; production schedules; shipping costs; Assembly systems; Costs; Displays; Graphical user interfaces; Inventory management; Job shop scheduling; Manufacturing automation; Product safety; Production systems; Scheduling algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Applications, 1994., Proceedings of the Tenth Conference on
Conference_Location :
San Antonia, TX
Print_ISBN :
0-8186-5550-X
Type :
conf
DOI :
10.1109/CAIA.1994.323696
Filename :
323696
Link To Document :
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