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Improvements in the Production Environment Made Using Quality Management Tools

机译:使用质量管理工具进行生产环境的改进

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Improvements are the outcomes of management activities aimed at ensuring that the performance of tasks is increasingly enhanced, often beyond expectations. Improvements can be defined as radical modifications that help achieve expected results. They can also be viewed as efforts to help create an environment in which activities, including manufacturing tasks, are executed with efficiency and consistency. Success in achieving the desired efficiency depends on employing appropriate tools that support efforts to boost the ability to achieve desired outcomes. Under the seventh principle of quality management, effective quality management can be assumed to require solid data and facts rather than speculation and ungrounded opinions. This principle also applies to improvements made to the manufacturing environment, which are only successful if based on robust data and information on the working environment, with all of its hazards and strains, as well as any other irregularities that compromise the ability to perform work safely and effectively. Thus, the manufacturing environment can only be improved once one has assessed the nature of specified hazards as well as the extent and nature of their impacts. The article outlines some of the key (traditional and new) quality management tools available for collecting and processing data and information on the manufacturing environment. While the article's primary focus is on a literature review, it presents sample applications of quality-assurance tools based on reallife cases taken from industry. These come predominantly from small and medium-sized enterprises engaged in various types of production.
机译:改进是管理活动的结果,旨在确保任务的表现日益增强,通常超出预期。改进可以定义为有助于实现预期结果的激进修改。它们也可以被视为帮助创建一个环境的努力,其中包括效率和一致性执行的活动,包括制造任务。实现所需效率的成功取决于采用适当的工具,支持努力提高实现所需结果的能力。根据质量管理的第七原则,可以假设有效的质量管理需要扎实的数据和事实而不是猜测和未接地的意见。这一原则也适用于对制造环境的改进,如果基于工作环境的强大数据和信息,则只有其所有危险和菌株以及损害安全性能够安全执行工作的任何其他违规行为有效地。因此,一旦评估了特定危害的性质以及它们的影响的程度和性质,就可以改善制造环境。本文概述了一些可用于收集和处理制造环境的数据和信息的关键(传统和新的)质量管理工具。虽然这篇文章的主要重点是在文献综述上,但它介绍了基于来自行业的Reallife案例的质量保证工具的样本应用。这些主要来自从事各类生产的中小企业。

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