Title :
Cooperative distributed problem solving: an investigation in the domain of jobshop scheduling
Author :
Agarwal, Ritu ; De, Prabuddha ; Wells, Charles E.
Author_Institution :
Dept. of MIS & Decision Sci., Dayton Univ., OH, USA
Abstract :
As more businesses move towards flexible manufacturing environments, new, techniques for factory management have begun to evolve. Of particular importance are procedures that result in detailed operational schedules to ensure that the resources of the factory are efficiently allocated. The research project outlined investigates the development of such procedures in the context of a flexible, cellular jobshop. We utilize an artificial intelligence paradigm, viz., cooperative distributed problem solving, to build a comprehensive model of the operations of a jobshop. Based on this model, detailed procedures for assigning jobs to cells, scheduling jobs on individual machines, and determining job due-dates are being developed. In addition, recognizing the uncertainties inherent in a manufacturing environment, procedures for exception handling are also being specified
Keywords :
cooperative systems; exception handling; flexible manufacturing systems; problem solving; production control; resource allocation; scheduling; artificial intelligence paradigm; cellular jobshop; comprehensive model; cooperative distributed problem solving; exception handling; factory management; flexible manufacturing environments; job due-dates; jobshop scheduling; operational schedules; research project; resource allocation; scheduling; Artificial intelligence; Communication system control; Computer numerical control; Decision making; Flexible manufacturing systems; Job shop scheduling; Problem-solving; Production facilities; Resource management; Uncertainty;
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
DOI :
10.1109/HICSS.1995.375579
