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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Predicting the effects of cycle time variability on the efficiency of electronics assembly mixed-model, zero-buffer flow processing lines
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Predicting the effects of cycle time variability on the efficiency of electronics assembly mixed-model, zero-buffer flow processing lines

机译：预测周期时间可变性对电子装配混合模型，零缓冲流处理线效率的影响

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The research literature emphasises the need to use flow processing lines to undertake processing and assembly within low demand volume, high product variety electronics manufacturing environments that have significant levels of product, process and demand variability to contend with. Currently, the presence of such high levels of product, process and demand variability prevents the design of efficient flow processing lines by significantly disrupting the synchronisation of materials movement between work stations, resulting in under-utilisation of manufacturing resources, long lead times and poor delivery reliability.In order to ensure efficient flow processing under such conditions, a range of methods has been developed for both reducing levels of variability and for managing the effects of variability. However, ensuring the effective use of each of these methods requires detailed knowledge of the effects this variability has on the resource requirements of individual workstations.The current research is concerned with the development of predictive models that can quantitatively estimate the amounts of blocking and waiting, on individual workstations along a flow line, arising from differences in cycle times between these workstations. Information derived from such models are able to enable more precise and effective use of the methods used to off-set the effects of cycle time variability.View full textDownload full textKeywordshigh product variety/low demand volume flow processing, mixed-model assembly lines, workstation cycle time variability, electronics manufacture, flow process, discrete event simulation, schedulingRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/0951192X.2010.500679
机译：研究文献强调需要使用流水线在低需求量，高产品种类的电子制造环境中进行处理和组装，这些环境具有相当高的产品，工艺和需求可变性水平。当前，如此高水平的产品，工艺和需求可变性的存在通过显着破坏工作站之间物料移动的同步，从而导致制造资源利用不足，交货时间长和交付不良而阻碍了高效流水线的设计。为了确保在这种条件下进行有效的流量处理，已开发出一系列方法来减少可变性水平和管理可变性影响。但是，要确保有效使用这些方法，就需要详细了解这种可变性对各个工作站的资源需求的影响。当前的研究涉及预测模型的开发，该模型可以定量地估计阻塞和等待的数量，这些工作站之间的循环时间不同会导致沿流动线在各个工作站上运行。从这些模型中获得的信息能够更精确，更有效地使用抵消周期时间可变性影响的方法。查看全文下载全文关键字高产品种类/低需求量流处理，混合模型装配线，工作站周期时间可变性，电子产品制造，流程，离散事件模拟，调度相关的var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，servicescompact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon，digg，google ，more“，pubid：” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/0951192X.2010.500679

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