Authors:
Petr Skobelev
1
;
Valery Eliseev
2
;
Igor Mayorov
3
;
Vitaly Travin
4
;
Alexey Zhilyaev
5
and
Elena Simonova
5
Affiliations:
1
Samara National Research University and Samara State Technical University, Russian Federation
;
2
Smart Solutions and Ltd, Russian Federation
;
3
Smart Solutions, Ltd and Samara State Technical University, Russian Federation
;
4
Samara National Research University, Russian Federation
;
5
Smart Solutions, Ltd and Samara National Research University, Russian Federation
Keyword(s):
Assembly Workshops, Planning and Scheduling, Distributed Problem Solving, Multi-Agent Technology, Multi-Agent System, Adaptive Scheduling, Knowledge Base, Decision Making, Real-Time.
Related
Ontology
Subjects/Areas/Topics:
Agent Platforms and Interoperability
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
;
Task Planning and Execution
Abstract:
The paper covers the problem of aggregate and final assembly of complex technical objects at the ramp-up
stage. New models, methods and tools for distributed scheduling are proposed, including modified version
of virtual market with new classes of agents. The new feature of multi-agent scheduler considers knowledge
base technology which helps to specify each operation in more detailed and individual way. The paper
describes first system prototype for adaptive planning at the ramp-up stage and the main directions of future
system development.