Main Article Content

Authors

A system is a set of heterogeneous elements that work in direct relation with each other for a specific purpose;
through its automation, it is possible to carry out productive processes with machines, without the
direct participation of a human operator. The Automated Integrated Logistics System (SALI by it’s acronym
in Spanish) is a didactic environment that allows to emulate the activities and operation of a Logistic Distribution
Center (DC), developed at the New Granada Military University as a teaching and learning tool
for engineering. The current system programming in the software system allows a serial processing of a
purchase order, from the moment in which the customer, passing through all the stations, until it is sent to a
delivered point, requires the product. The present investigation presents a modeling of the system through
Colored Petri Nets (CPN) it’s made, with the purpose of achieve a better understanding of the dynamics of
the system, the relationships between the stations, the flow of materials during the process and the cycles of
these over the stations; as well as identifying the restrictive stations within the process that are susceptible
to an improvement to be raised in a future work

1.
Ochoa MP, Dávila J. Modeling of an automated integral logistics system using colored petri nets. inycomp [Internet]. 2019 Jan. 30 [cited 2024 Nov. 22];21(1):63-72. Available from: https://revistaingenieria.univalle.edu.co/index.php/ingenieria_y_competitividad/article/view/7655

Oppenheim AV, Willsky AS, Hamid Nawab S, Mata Hernández G, Suárez Fernández A. Señales y sistemas. Pearson;1998.p 11–2. Available from: https://books.google.es/books?hl=es&lr=&id=g2750K3PxRYC&oi=fnd&pg=PR17&dq=+procesamiento+de+señales&ots=f-QIilhi4C&sig=asyzscEbjeCe5XNEXrD0LTk4qvk#v=onepage&q=procesamiento de señales&f=false

Garcia Sanchez A, Ortega MM. Introduccion a la simulacion de sistemas discretos. 2006. Available in: http://www.iol.etsii.upm.es/arch/intro_simulacion.pdf

Chang GK, Fan SY, Shue RL, Lu WS. Incorporating the Fischertechnik Bricks Into Undergraduate Mechatronics Courses. EE2006; 2006.518–33.

Mora L. Gestión logística en Centros de Distribución, Bodegas y Almacenes. Bogotá: ECOE; 2012. Avalible in: https://books.google.com/books/about/Gesti%C3%B3n_log%C3%ADstica_en_centros_de_distri.html?id=hXs5DwAAQBAJ

Guasch A, Piera MÁ, Casanovas J, Figueras J. Modelado y simulación: aplicación a los procesos logísticos de fabricación y servicios. Catalunya: Edicions UPC; 2002. Available in: https://books.google.com.co/books?id=KZDPoE0uWTkC&source=gbs_navlinks_s

Alvarado Moya P. Señales y sistemas. Fundamentos matemáticos. Cartago, Costa Rica: Bibliográfico Centro de Desarrollo de Material Bibliografico; 2010

https://www.academia.edu/649488/Se%C3%B1ales_y_Sistemas_Fundamentos_Matem%C3%A1ticos

Izquierdo LR, Galán Ordax JM, Santos JI, Del Olmo Martínez R. Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas. Empiria Rev Metodol ciencias Soc [Internet];2008. Available from: http://revistas.uned.es/index.php/empiria/article/view/1391

Marcatinco LM, Lara JE. Construcción de modelos. Revista de la Facultad de Ciencias Economicas de la UNMSM. 2005; 10(28):177–184.

https://docplayer.es/91139162-Construccion-de-modelos.html

Murata T. Petri Nets:Properties, Analysis and Applications. Proceding IEEE. 1989;(4):39. avalible in: DOI: 10.1109/5.24143

Wang J. Petri Nets for Dynamic Event-Driven System Modeling. Transition. 2006;(4):1-17. avalible in: http://bluehawk.monmouth.edu/~jwang/Ch024.pdf

De Moraes, CC, De Lauro Castrucci P. Engenharia de automação industrial. Grupo Gen-LTC, 2000. 361 p.

Jiménez E, Pérez M, Sanz F. Modelado y simulación de sistemas logísticos y de producción mediante Redes de Petri. Rev Iberoam Automática e Informática Ind [Internet]; 2005.2(4):39–53. Available from: file:///C:/Users/Revista/Downloads/57299-170158-1-PB.pdf

Maciel PRM, Lins RD, Cunha PRF. Introdução às redes de Petri e aplicações. Campinas: UNICAMP-Instituto de Computaçãoo, 1996. 187p. Trabalho apresentado na 10. Escola de Computação, 1996, Campinas, SP.

Herajy M, Liu F, Rohr C, Heiner M. Coloured Hybrid Petri Nets: An adaptable modelling approach for multi-scale biological networks. Comput Biol Chem [Internet]. 2018;76(October 2015):87–100. Available from: https://doi.org/10.1016/j.compbiolchem.2018.05.023

Shah SA, Bohez ELJ, Shah K, ul Haq I, Azam K, Anwar S. Colored Petri net model for significant reduction of invariants in flexible manufacturing systems. The International Journal of Advanced Manufacturing Technology. 2017;88(5–8):1775–87. avalible in: https://doi.org/10.1007/s00170-016-8864-1

Cardoso J, Valette R. Redes de petri. Sba: Controle. Florianópolis; 1997.

http://valetterobert.free.fr/enseignement.d/livroweb101004.pdf