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Improving productivity of a multi-product machining line at a motorcycle manufacturing plant

机译:在摩托车制造厂提高多产品加工线的生产率

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摘要

This paper introduces a case study to improve productivity of a multi-product transmission case machining line at a motorcycle manufacturing plant. First, the manufacturing process is introduced to characterise the production flow. Through structural modelling, such a process is simplified through aggregations and transformed into a two-stage Bernoulli line model with split dedicated machines and finite buffers. Using Markov chain analysis, the system throughput can be estimated. The results are validated by plant data. To improve system productivity, through numerical experiments, we investigate the impacts of increasing machine efficiency, varying demands and implementing different loading policies. Such a study provides a quantitative tool for plant engineers and managers to improve production operations.
机译:本文介绍了提高摩托车制造工厂多产品传动箱加工线的生产率的案例研究。首先,引入制造过程以表征生产流程。通过结构建模,通过聚合简化了这种过程,并用分离专用机器和有限缓冲区转换为两级Bernoulli线模型。使用Markov链分析,可以估计系统吞吐量。结果由植物数据验证。通过数值实验提高系统生产率,我们研究了提高机器效率,不同需求和实施不同加载政策的影响。这样的研究为植物工程师和经理提供了一种定量工具,以改善生产操作。

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