Simulación de filas de espera en un proceso industrial
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Fecha
2023
Autores
Nabhan Lambraño, Najem Amin
Corrales Ricardo, William
Cantillo Zarco, Anderson
Chávez Gómez, Diana Sofia
Peña Santos, Daniela Johana
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ISSN de la revista
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Editor
Ediciones Universidad Simón Bolívar
Facultad de Ingenierías
Facultad de Ingenierías
Resumen
La simulación de filas de espera en un proceso industrial es muy importante en las empresas y tiene múltiples aplicaciones y beneficios ya que se analiza el flujo de trabajo, la eficiencia y los tiempos de espera para poder encontrar las falencias y luego hacer modificaciones e intentar que la empresa llegue a un punto de productividad optima. Con esta técnica podemos comprender los puntos críticos y en los que más de demora la empresa para ejecutar. El objetivo del siguiente artículo de simulación de filas de espera se pone en práctica en la empresa Confecciones & Distribuciones Sueños De Ángel S.A.S, aborda la teoría de las colas, que consiste en modelos matemáticos utilizados para describir sistemas de colas de espera. Estos modelos permiten determinar características clave, como la longitud promedio y el tiempo de espera, lo cual es especialmente relevante para la industria en su búsqueda para mejorar la productividad y la satisfacción del cliente. En los procesos que trabajamos estamos teniendo en cuenta el proceso recubrimiento de las mantas en donde los tiempos de llegada son de los cortes y el tiempo de servicio es lo que se demora el operario en coser los cortes, la calidad de los servicios se ha convertido en un concepto significativo en las últimas décadas, las empresas buscan brindar servicios de manera eficiente y en el momento adecuado. En el proceso de confección de cobijas, se encontró que el cuello de botella es la máquina recubridora. Esto significa que la capacidad de esta máquina limita en gran medida la salida de cobijas. Se realizaron cálculos estadísticos de un sistema de colas con un solo servidor. Los resultados muestran que: El tiempo de espera promedio es de 9.17 horas, la probabilidad de esperar es del 100% y el tiempo total desocupado es de 0 minutos. Estos resultados indican que la operaria está sobrecargada y que la operación debe esperar mucho tiempo para recibir el servicio. Se recomienda aumentar el número de operarios o mejorar la eficiencia del proceso para reducir los tiempos de espera. En este caso, el estudio permitió identificar un cuello de botella que podría mejorarse para aumentar la producción de cobijas.
The simulation of waiting lines in an industrial process is very important in companies and has multiple applications and benefits since the workflow, efficiency and waiting times are analyzed to 2find shortcomings and then make modifications and try to correct them. The company reaches a point of optimum productivity. With this technique we can understand the critical points and those in which the company takes the longest to execute. The objective of the following article on the simulation of waiting lines is put into practice in the company Confecciones & Distribuciones Sueños De Ángel S.A.S, it addresses the theory of queues, which consists of mathematical models used to describe waiting queue systems. These allow key characteristics such as average wait length and wait time to be determined, which is especially relevant to the industry in its quest to improve productivity and customer satisfaction. In the processes that we work on, we are considering the process of covering the blankets, where the arrival times are for the cuts and the service time is what the operator takes to cook the cuts, the quality of the services has improved. become a significant concept in recent decades, companies seek to provide services efficiently and at the right time. In the process of making blankets, it was found that the bottleneck is the coating machine. This means that the capacity of this machine greatly limits the output of blankets. Statistical calculations were performed for a queuing system with a single server. The results show that: The average waiting time is 9.17 hours, The probability of waiting is 100% and Total idle time is 0 minutes. These results indicate that the operator is overloaded and that the operation must wait a long time to receive the service. It is recommended to increase the number of operators or improve the efficiency of the process to reduce waiting times. In this case, the study identified a bottleneck that could be improved to increase blanket production.
The simulation of waiting lines in an industrial process is very important in companies and has multiple applications and benefits since the workflow, efficiency and waiting times are analyzed to 2find shortcomings and then make modifications and try to correct them. The company reaches a point of optimum productivity. With this technique we can understand the critical points and those in which the company takes the longest to execute. The objective of the following article on the simulation of waiting lines is put into practice in the company Confecciones & Distribuciones Sueños De Ángel S.A.S, it addresses the theory of queues, which consists of mathematical models used to describe waiting queue systems. These allow key characteristics such as average wait length and wait time to be determined, which is especially relevant to the industry in its quest to improve productivity and customer satisfaction. In the processes that we work on, we are considering the process of covering the blankets, where the arrival times are for the cuts and the service time is what the operator takes to cook the cuts, the quality of the services has improved. become a significant concept in recent decades, companies seek to provide services efficiently and at the right time. In the process of making blankets, it was found that the bottleneck is the coating machine. This means that the capacity of this machine greatly limits the output of blankets. Statistical calculations were performed for a queuing system with a single server. The results show that: The average waiting time is 9.17 hours, The probability of waiting is 100% and Total idle time is 0 minutes. These results indicate that the operator is overloaded and that the operation must wait a long time to receive the service. It is recommended to increase the number of operators or improve the efficiency of the process to reduce waiting times. In this case, the study identified a bottleneck that could be improved to increase blanket production.
Descripción
Palabras clave
Calidad del servicio, Sistema de filas de espera, Teoría de colas, Características de operación
