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Using visual analytics to drive lean behavior in program management office

机译:使用可视化分析来推动计划管理办公室的精益行为

摘要

Raytheon recently won a large order for one of its programs (Program X) leading to a doubling of monthly production. With a relatively larger order, Raytheon reduced the acquisition unit price to the customer. Thus, there is a burning platform to evaluate the current program assessment tools and ensure that the future assessment tools are adequate for a smooth production schedule. In addition, there is a need to create a more robust and automated manner of identifying risks and opportunities in the production process. The main approach is to use the Raytheon Six Sigma process (visualize, commit, prioritize, characterize, improve, and achieve) to solving major projects, which is similar to the original Six Sigma DMAIC process (define, measure, analyze, improve, control). Using the aforementioned process, this thesis explores whether introducing visual analytics and controls to the Program Management Office (PMO) can improve the overall communication between the PMO and the manufacturing work centers, and ultimately eliminate the various wastes and improve Program X's production process. In addition, this thesis examines if driving Lean behavior to the PMO, can indirectly drive Lean behavior across the manufacturing value chain leading to cost savings and increased productivity.
机译:雷神公司最近为其一项计划(计划X)赢得了一笔大订单,导致月产量翻了一番。随着订单量的增加,雷神公司降低了客户的采购单价。因此,有一个刻录平台可以评估当前的程序评估工具,并确保将来的评估工具足以满足平稳的生产进度。另外,需要创建一种更强大和自动化的方式来识别生产过程中的风险和机会。主要方法是使用雷神六标准差(Raytheon Six Sigma)流程(可视化,提交,确定优先级,表征,改善和实现)来解决大型项目,这与原始的六标准差DMAIC流程(定义,测量,分析,改进,控制)相似。 )。通过上述过程,本论文探讨了将视觉分析和控制引入程序管理办公室(PMO)是否可以改善PMO与制造工作中心之间的整体沟通,并最终消除各种浪费并改善Program X的生产过程。此外,本文研究了将精益行为驱动到PMO是否可以在整个制造价值链中间接驱动精益行为,从而节省了成本并提高了生产率。

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