Preliminary communication
Design Methodology for Discrete Event Simulation Solutions in Manufacturing Environment
Milan PAVLOVIĆ
; Faculty of Technical Sciences in Zrenjanin University of Novi Sad, Zrenjanin, Serbia
Slavko ARSOVSKI
; Faculty of Mechanical Engineering University of Kragujevac, Kragujevac, Serbia
Zora ARSOVSKI
; Faculty of Economic, University of Kragujevac, Kragujevac, Serbia
Zoran MIROVIĆ
; Faculty of Mechanical Engineering University of Kragujevac, Kragujevac, Serbia
Miodrag LAZIĆ
Abstract
The paper considers Discrete Event Simulation design methodology. Primary
objective is proposal of comprehensive, scientifically established design
methodology to structure, guide, and improve manufacturing processes modeling
efforts. Proposed approach replicate structure and behavior of original system at
desired level of abstraction, incorporates specific academic knowledge in simulation
solution and results in object oriented application architecture completely
consistent with production planning and scheduling ontology. The paper begins
pointing out importance of modeling and equality between knowledge and models
from viewpoint of modern cybernetic science and referenced cybernetics theory
relocates in manufacturing systems and discrete event simulation domain. Paper
then proceeds to discuss a structure and main steps of proposed methodology
with a more detailed discussion of simulation based production planning and
scheduling. Finally, an example of successfully designed simulation solution is
given. Proposed approach gives verbal and mathematical problem description,
builds ontology of problem domain, uses Extended Petri Nets, event graphs
and activity cycle diagrams as modeling tools, in order to obtain faithful model
which easily can be replicated in object oriented class and object hierarchy.
Methodology highlights inevitability of knowledge transfer between business
processes, software development and academic research experts. Integration
and overlapping of mentioned fields of knowledge result in object oriented
application architecture fully consistent with ontology derived from conceptual
phase of design methodology. Proposed methodology enables convergence of
comprehensive but static MIS knowledge in dynamic simulation model in order to
fully utilize its prediction power for effective integration of strategic and tactical
decision making.
Keywords
Discrete Event Simulation Methodology; Manufacturing planning and scheduling; Petri Nets
Hrčak ID:
76182
URI
Publication date:
30.4.2011.
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