Modeling of an automated integral logistics system using colored petri nets

(Eng) A system is a set of heterogeneous elements that work in direct relation with each other for a specific pur - pose; 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 S...

Full description

Autores:
Ochoa, Maria P.
Davila, Julian
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad del Valle
Repositorio:
Repositorio Digital Univalle
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.univalle.edu.co:10893/17934
Acceso en línea:
https://hdl.handle.net/10893/17934
Palabra clave:
Automatización
Modelamiento
Redes de Petri
Sistemas
Automation
Modeling
Petri Nets
Systems
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:(Eng) A system is a set of heterogeneous elements that work in direct relation with each other for a specific pur - pose; 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 Dis - tribution 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.