Abstract
This study presents a proposal to determine solutions to the models of queue theory through the use of simulation. The main objective is to evaluate the number of people who arrive at a public transport service station in order to be able to minimize monetary losses, the product of the defection of the people of the waiting line of this station. To evaluate the model, we proceeded to use tools that allow simulating random values based on probability distributions; such as the Log-Normal probability distribution, and the Binomial distribution.
| Language | English |
|---|---|
| Title of host publication | Problem-based learning: A didactic strategy in the teaching of system simulation |
| Editors | Lorenzo Cevalles-Torres, Miguel Botto-Tobar |
| Publisher | Springer |
| Pages | 97-110 |
| Number of pages | 14 |
| ISBN (Electronic) | 978-3-030-13393-1 |
| ISBN (Print) | 978-3-030-13392-4 |
| DOIs | |
| State | Published - 1 Jan 2019 |
Publication series
| Name | Studies in Computational Intelligence |
|---|---|
| Volume | 824 |
| ISSN (Print) | 1860-949X |
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Case study : Logistical behavior in the use of urban transport using the monte carlo simulation method. / Cevallos-Torres, Lorenzo; Botto-Tobar, Miguel.
Problem-based learning: A didactic strategy in the teaching of system simulation. ed. / Lorenzo Cevalles-Torres; Miguel Botto-Tobar. Springer, 2019. p. 97-110 (Studies in Computational Intelligence; Vol. 824).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - Case study
T2 - Logistical behavior in the use of urban transport using the monte carlo simulation method
AU - Cevallos-Torres,Lorenzo
AU - Botto-Tobar,Miguel
PY - 2019/1/1
Y1 - 2019/1/1
N2 - This study presents a proposal to determine solutions to the models of queue theory through the use of simulation. The main objective is to evaluate the number of people who arrive at a public transport service station in order to be able to minimize monetary losses, the product of the defection of the people of the waiting line of this station. To evaluate the model, we proceeded to use tools that allow simulating random values based on probability distributions; such as the Log-Normal probability distribution, and the Binomial distribution.
AB - This study presents a proposal to determine solutions to the models of queue theory through the use of simulation. The main objective is to evaluate the number of people who arrive at a public transport service station in order to be able to minimize monetary losses, the product of the defection of the people of the waiting line of this station. To evaluate the model, we proceeded to use tools that allow simulating random values based on probability distributions; such as the Log-Normal probability distribution, and the Binomial distribution.
UR - http://www.scopus.com/inward/record.url?scp=85063135970&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-13393-1_6
DO - 10.1007/978-3-030-13393-1_6
M3 - Chapter
SN - 978-3-030-13392-4
T3 - Studies in Computational Intelligence
SP - 97
EP - 110
BT - Problem-based learning: A didactic strategy in the teaching of system simulation
PB - Springer
ER -