The optimization of production processes in the clothing industry using the simulation of discrete events

The optimization of production processes in the clothing industry using the simulation of discrete events

Journal

  • Journal title: Innovación y Software
  • ISSN: 2708-0927 (print) 2708-0935 (online)
  • Publisher: Universidad La Salle
  • Country of publisher: peru
  • Platform/Host/Aggregator: OJS
  • Date added to EuroPub: 2020/Jun/29

Subject and more

  • LCC Subject Category: Computer and Information Science, Computer Science, Software Engineering, Engineering, Technology, Artificial Intelligence
  • Publisher's keywords: Discrete events, Simulation, Textile
  • Language of fulltext: spanish, catalan, english
  • Full-text formats available: PDF
  • Time From Submission to Publication: 6

AUTHORS

    Luis Alfredo Aragón Guía, Yordi Jesús Díaz Callo, Marilyn Fabiola Juarez Flores

FULL TEXT

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ABSTRACT

It is important for small growing textile companies to make key decisions based on accurate and reliable information about the present production process and how future changes could affect them. Using traditional mathematical methods it is not possible to accurately and reliably reflect the real stochastic behaviour of processes and activities carried out in this industry. There are, however, information technologies such as the computer simulation technique that allow such information to be obtained taking this behaviour into account.he research carried out a simulation study of the garment making process of a small textile company in order to propose a better distribution of resources by experimenting with a simulation model of the process, In addition, some of the quantitative information obtained with this technique is presented. The results obtained show that making changes in assigning tasks and resources reduces the production time of a batch of 100 units in one hour and reduces approximately 30 minutes the average time that a unit remains in the system. All the information was obtained by means of a simulation model verified and validated without the need to experience such changes with the real system.

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