that, although the results are not exactly real, it Is behavior does
reflect the reality.
2) Simul8 Results
When simulating the model for one month with 7217 units
arrive to be processed by the line, this is contrasted with the
actual values of the company, according to the expert's criteria.
.If the cost is supposed to be correct, the best proposal would
be the 3 one, despite not being the one that maximizes
efficiencies , it keeps constant the costs vs units produced and
generates the best financial indicators according to the
evaluated model. Fig. 4 shows the Simul8 representation of the
model
Initially, as observed in the plant, it is assumed that the
bottlenecks, and long storage and waiting were generated by the
locations of simple capacity. However, it is observed with the
simulation that the hypothesis previously raised was wrong and
the bottleneck of the process was in the operators of the washing
machines. This fact that reaffirms the advantages of simulation
as support in decision-making.
In Table VIII it is possible to observe some of the results of
the simulation.
VI. CONCLUSIONS AND FUTURE RESEARCH
Concerning the information entered and analyzed in this
article for the case of application in the textile finishing
company, the simulation of discrete events was used. It allowed
in a structured manner to represent the model associated with
the process. Some assumptions were taken as 24 hours work
without stops and that the machines do not suffer breakdowns
in order to decrease the complexity of the system without
straying much from reality .It was tested by confidence
intervals of the arrivals variable with a reliability of 95%, the
results were in the expected ranges. The seeds were also
randomly assigned. With the model already proposed, the
Simul8 tool was validated and verified, of the four proposals
made, we proceed to select number three, therefore it is decided
to make changes to optimize the results. Furthermore, it was
found that the bottlenecks of the process were in the operators
section of the washing machines. The changes would be
beneficial to meet the commitments related with customers and
report economic gains for the company.
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Y.F. Ceballos was born in Guatape,
Antioquia, Colombia in 1979. He received
the Computer engineering (B.S.), M.S and
Ph.D. degrees in computer science from the
Universidad Nacional de Colombia,
Medellin, in 2004, 2007 and 2015,
respectively.
From 2005 to 2013, he was a professor with
the computer science Department. Since
2014, he has been an Assistant Professor with the Industrial
Engineering Department at Universidad de Antioquia. He is the
author of more than 20 articles in the past years. His research
interests include numerical methods, game theory, system
simulation, behavioral research, algorithms, and stochastic
processes.