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MODELLING OF DYNAMIC SYSTEMS: A PETRI NETS APPROACH

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JANUARY-DECEMBER 2014   -  Volume: 2 -  Pages: [13 p.]

DOI:

https://doi.org/10.6036/MN7089

Authors:

ALBERTO MORALES VARELA -
JORGE ARMANDO ROJAS RAMIREZ
-
LUIS HECTOR HERNANDEZ GOMEZ
- ANGEL MORALES GONZALEZ - LUIS MANUEL HERNANDEZ SIMON - MARIA YANET JIMENEZ REYES

Disciplines:

  • Organization and management of enterprises (ORGANIZACIÓN DE LA PRODUCCIÓN )

Downloads:   125

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Received Date :   28 January 2014

Reviewing Date :   25 April 2014

Accepted Date :   30 April 2014


Key words:
Cadena de suministro, producción esbelta, enfoque sistémico, redes de Petri, evento discreto, sistema flexible de manufactura, jidoka, Supply chain, lean production, systemic approach, Petri nets, discrete event, flexible manufacturing system, jidoka.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

In a highly dynamic world, a result of technological, economic, political and social changes in the environment has been recognized that the supply chain plays a critical role in the competitiveness of an organization. Timely delivery of products demanded by the client is a condition for achieving full compliance with the quality and performance offered by production systems. However, keep control of them to changes in a dynamic environment involves not only respond to the ideal operation of the system. One difference detected between design decisions and operation of production systems is the basis of a formal model that defines the transitions between states of components.

This research proposes the integration of lean thinking in the management of the supply chain through its representation by means of a model that characterizes the dynamics of the system by using Petri nets. We present the structure of a Flexible Manufacturing System (FMS) and Jidoka system, through them we can show that modelling using Petri nets helps to have an effective and efficient decision-making in continuous improvement processes, it through analysis of system behaviour, validation of their properties and the ability to show discrete events.

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