Authors:
E. M. Abakumov
and
S. B. Kazanbekov
Affiliation:
All-Russia Research Institute of Automatics, Russian Federation
Keyword(s):
Production Management, Production Scheduling, Balance Load, Prediction, Decision-making, Neural Network.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neural Network Software and Applications
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Operational Research
;
Pattern Recognition
;
Physiological Computing Systems
;
Scheduling and Planning
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
The paper presents several approaches to enhancing efficiency of management of multiproduct single-unit and small-batch discrete production on shop-floor level, namely optimization during job scheduling, prediction of schedule execution, and support of decision-making during assignment of activity executor. For every approach, problem statement and example, potential method of solution and benefits of the shop floor level from using these approaches are given.