Survey on the use of simulation for manufacturing system design and operation

Smith, Jeffrey S.

doi:10.1016/s0278-6125(03)90013-6

Cited by 172 publications

(66 citation statements)

References 115 publications

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“…Lo anterior evidencia la necesidad de hacer un análisis del proceso productivo [15][16], mediante alguna técnica formal como la simulación [17][18]. En el caso de las empresas de confecciones, se puede Fuente: elaboración propia.…”

Section: Formulación Del Problemaunclassified

Análisis del proceso productivo de una empresa de confecciones: Modelación y simulación

Sánchez¹,

Ceballos

Torres

2015

Cien.Ing.Neogranadina

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<p class="Texto">El modelado y simulación de pequeños sistemas industriales ha adquirido gran importancia en los procesos de toma de decisiones, toda vez que les permite a microempresas fundamentar sus decisiones de producción. Este artículo hace un análisis de una empresa dedicada a la confección de ropa exterior masculina con una producción semanal promedio de 490 prendas. La motivación del estudio radica en el interés de incrementar su productividad; por esto, se desarrolló un modelo del sistema real con la herramienta Arena®, logrando identificar las partes de los procesos responsables de atrasos y “cuellos de botella” que permitieron plantear el escenario de solución. Este documento muestra los resultados de la simulación del sistema real y una comparación con un escenario de mejora que presentó un aumento en la productividad.<strong></strong></p>

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Section: Formulación Del Problemaunclassified

Análisis del proceso productivo de una empresa de confecciones: Modelación y simulación

Sánchez¹,

Ceballos

Torres

2015

Cien.Ing.Neogranadina

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“…52 The manufacturing field has become one of the main application fields of simulation technologies because these technologies can confirm improvements without actual changes in production systems. 50 This is also because manufacturing simulation has been studied for production system design and scheduling for a long time.…”

Section: Discrete Event Simulation (Des)mentioning

confidence: 99%

An agile operations management system for green factory

Noh

Cho³

2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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The globalization of suppliers and personalization of customers require new manufacturing strategy for environmental issues, region's special regulation and energy besides manufacturing factors from manufacturers. In this study, green factory is defined as a manufacturing floor that reduces waste elements such as extra work, energy, time and cost through quickly responding to external uncontrollable changes like a regulation, due date and supply. Therefore, the green factory should respond by establishing and implementing strategies for controlling their production volumes, changing their dispatch rules, adjusting their work schedules, increasing and decreasing the number of their machines and workers based on their own internal data and capacities, and other measures. To achieve such objective, manufacturing companies should realize a manufacturing intelligence that can visualize their shop-floor data, and detect and solve problems at the business planning level. In this study, an agile operations management (AOM) system that can quickly respond to field problems was developed for manufacturing intelligence. The AOM system refers to a system that collects internal data, monitors such data in real time, immediately detects problems, if any, and provides solutions to the detected issues within the shortest time.

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“…Smith classified the literature on the use of discrete event simulation for manufacturing systems mainly into three primary classes such as manufacturing system design, manufacturing systems operations and simulation package developments for manufacturing systems applications [16]. Reddy and Rao addressed multi-objective optimization of machines and AGVs in an FMS using a hybrid genetic algorithm on different FMS layouts configurations and some of the layouts are considered in the present study [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Flexible manufacturing systems modelling and performance evaluation using AutoMod

Reddy¹,

Rao²

2011

Int. j. simul. model.

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In recent times flexible manufacturing systems emerged as a powerful technology to meet the continuous changing customer demands. Increase in the performance of flexible manufacturing systems is expected as a result of integration of the shop floor activities such as machine and vehicle scheduling. The authors made an attempt to integrate machine and vehicle scheduling with an objective to minimize the makespan using Automod. Automod is a discrete event simulation package used to model and simulate a wide variety of issues in automated manufacturing systems. The key issues related to the design and operation of automated guided vehicles such as flow path layout, number of vehicles and traffic control problems are considered in the study. The performance measures like throughput, machine and vehicle utilization are studied for different job dispatching and vehicle assignment rules in different flexible manufacturing system configurations.

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Survey on the use of simulation for manufacturing system design and operation

Cited by 172 publications

References 115 publications

Análisis del proceso productivo de una empresa de confecciones: Modelación y simulación

Análisis del proceso productivo de una empresa de confecciones: Modelación y simulación

An agile operations management system for green factory

Flexible manufacturing systems modelling and performance evaluation using AutoMod

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