| Autor: |
Omar Danilo Castrillón, Jaime Alberto Giraldo, William Ariel Sarache |
| Jazyk: |
English<br />Spanish; Castilian |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
Revista de Matemática: Teoría y Aplicaciones, Vol 20, Iss 2, Pp 231-241 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
2215-3373 |
| DOI: |
10.15517/rmta.v20i2.11663 |
| Popis: |
The aim of this study is to disseminate the academic community a prototype computer that automatically generates simulation models of a given industrial production system, in order to facilitate the learning of some deterministic and stochastic scheduling. The basic architecture of the prototype computer developed in terms of presentation layers, processing and storage. Through the processing layer generates a prototype simulation model which is stored in the storage layer and subsequently can be run in order to test various models of production scheduling system. Scheduling theory has led to alternatives to generate the best solutions to problems of production scheduling and intends to develop this software to test some of these alternatives by computer simulation. Among the benefits that simulation brings is the ability to assess the impact that decisions Rev.Mate.Teor.Aplic. (ISSN 1409-2433) Vol. 20(2): 231–241, July 2013 generador de modelos de simulacion 233 will, in order to have an approach to reality to evaluate decisions in order to take more assertive. To test prototype was used as the modeling example of a production system with 9 machines and 5 works as a job shop configuration, testing stops processing times and stochastic machine to measure rates of use of machines and time average jobs in the system, as measures of system performance. This test shows the goodness of the prototype, to save the user the simulation model building |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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