Modelo de maturidade aplicado à células de soldagem robotizada: uma proposta baseada no modelo CMMI

Diego Leonardo Simoni, I. Cecconello
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Abstract

The high competitiveness of the industry today makes the search for modernization and improvement in processes become fundamental. The automation of welding processes offers numerous benefits for companies, ranging from higher productivity and welding consistency to lower costs for production, labor and materials, safety and quality. Industry 4.0 proposes to make the industry even more automated, so that machines equipped with sensors will be able to communicate with each other and thus make the process even more efficient and allow for real-time monitoring of what occurs in the welding process, also providing that the machine or robot is the process quality inspector. In view of this, it is noticed that barriers arise so that automated welding projects do not reach the expected result due to internal and external aspects. A maturity model is a way to assess how skillful a company is to manage and implement its projects, this means that it enables the identification of the maturity level and, thus, helps the company to define the best path for full success of the project is achieved. Among all the models that help in the assessment of maturity, CMM can be considered as its firstborn. There are several ways to validate a maturity model, including the one proposed in this article, through the evaluation of specialists in the field of robotic welding and users of the systems. The validation of this model was successful because, as proposed, all the average scores obtained were above 3. As a main result, this work presents a maturity model focused on robotic welding cells, which is a gap in the existing literature.
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应用于机器人焊接单元的成熟度模型:基于CMMI模型的建议
当今行业的高竞争力使得寻求现代化和改进流程成为根本。焊接过程的自动化为公司提供了许多好处,从更高的生产率和焊接一致性到更低的生产成本、劳动力和材料、安全和质量。工业4.0提出使行业更加自动化,因此配备传感器的机器将能够相互通信,从而使过程更加高效,并允许实时监控焊接过程中发生的情况,同时提供机器或机器人作为过程质量检查员。鉴于此,需要注意的是,由于内部和外部方面的原因,会产生障碍,使自动化焊接项目达不到预期效果。成熟度模型是一种评估公司管理和实现其项目的熟练程度的方法,这意味着它能够识别成熟度级别,从而帮助公司定义实现项目完全成功的最佳路径。在所有帮助评估成熟度的模型中,CMM可以被认为是它的长子。有几种方法可以验证成熟度模型,包括本文中提出的方法,通过评估机器人焊接领域的专家和系统用户。模型的验证是成功的,因为得到的平均分数都在3分以上。作为主要结果,这项工作提出了一个成熟度模型专注于机器人焊接细胞,这是现有文献中的一个空白。
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