Optimization of Logistic and Manufacturing Systems through Simulation: A Colored Petri Net-Based Methodology

Miquel Àngel Piera; Mercedes Narciso; Antoni Guasch; Daniel Riera

doi:https://doi.org/10.1177/0037549704045045

Optimization of Logistic and Manufacturing Systems through Simulation: A Colored Petri Net-Based Methodology

Miquel Àngel Piera, Mercedes Narciso, Antoni Guasch, Daniel Riera

Department of Telecommunications and Systems Engineering

Research output: Contribution to journal › Article › Research › peer-review

75 Citations (Scopus)

Abstract

Simulation models have proved to be useful for examining the performance of different system configurations and/or alternative operating procedures for complex logistic or manufacturing systems. However, when applying simulation techniques to increase the performance of those systems, several limitations arise due to their inability to evaluate more than a fraction of the immense range of options available. Simulation-optimization is one of the most popular approaches to improve the use of simulation models as a tool to obtain the best (optimal or quasi-optimal) decision variable values that minimize a certain objective function. However, despite the success of several simulation-optimization packages, many technical barriers still remain. The authors describe a new approach to integrate evaluation (simulation) methods with search methods (optimization) based on not only simulation results but also information from the simulation model. © 2004, Sage Publications. All rights reserved.

Original language	English
Pages (from-to)	121-129
Journal	Simulation
Volume	80
DOIs	https://doi.org/10.1177/0037549704045045
Publication status	Published - 1 Jan 2004

Keywords

Petri nets
Scheduling
decision support tools
optimization
production planning

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