A simulation analysis of the vehicle axle and spring assembly lines

Abstract

A discrete event simulation model was developed to represent the current vehicle axle and spring assembly lines and understand their dynamics for an automotive company in need of production increase to accommodate expected demand growth. The aim of this study is to provide viable manufacturing plans to improve productivity, and we propose several alternative system component changes to reach the desired throughput level as well as determine the corresponding optimal system configurations. Sensitivity analyses were conducted to measure the effects of various factors such as arrival rate, batch size, and operator resource on throughput, and consequently to find the best scenario. The results of the proposed simulation model demonstrated potential impacts on production capacity increase by considering multiple operational factors while applying feasible improvement strategies. 1 978-1-4673-9743-8/15/$31.00 ©2015 IEEE

Modelo de simulación de eventos discretos para el análisis y mejora del proceso de atención al cliente

“…El modelo que se realiza se debe verificar, pues éste debe evidenciar que aspectos como el funcionamiento, resultados y relaciones entre variables reflejen la lógica del sistema y se aproximen a la realidad [19,20,21]. Para esto se realizaron las siguientes pruebas:…”

Montaj Hattı Dengelemede Yeniden İşleme İstasyonlarının Paralel Görevler için Kullanımının Matematiksel Programlama ve Simülasyon ile Analizi

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Optimizing Workforce Utilization in Motorcycle Component Assembly Using Simulation

“…In jewelry production, Supsomboon (2019) proposed a simulation model to be done in order to reduce bottlenecks and improve productivity level by using line balancing. Bae et al (2015) implemented discrete event simulation model to propose alternative systems for vehicle axle and spring assembly lines to increase the productivity as well as accommodate the increasing demand. There were three different factors that need to be focus on; Arrival rate, Batch size and Operator resource and utilized them to create different scenarios which each of them varied at the same time in order to find the best possible settings.…”