流程机器人化驱动工业4.0数字化转型的研发路线图

G. Barbosa, S. Shiki, Iris Bento da Silva
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引用次数: 8

摘要

本文强调了一个定制路线图的建议,该路线图管理与并行工程阶段中应用的自动化技能相关的知识。本研究与开发(R&D)路线图的方法是一种结构化形式的特定指导方针,它使用计划-执行-检查-行动(PDCA)方法的概念,将其与其他质量工具和自动化技术相结合,用于管理这一特定知识。本研究工作旨在指导在并行工程环境中工作的多学科人员(项目经理、工程师和技术人员)了解机器人的实施步骤和与部署阶段相关的重要提示,这些提示在应用所建议的路线图时可能是有益的。此外,它还用于协助机器人的安装和车间验证,旨在实现自动化方面的最佳工业过程。本文的主要贡献和新颖之处在于提出了一个研发路线图,该路线图可以驱动和协助多学科工作团队,从识别机器人化机会到为相关过程建立质量要求的保证,以及持续改进计划。此外,这项工作在与机器人化专业知识相关的知识管理方面提供了高度相关性,在并行工程背景下传播实用技能,并在科学前沿做出了前所未有的创新贡献。
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R&D roadmap for process robotization driven to the digital transformation of the industry 4.0
This paper lays emphasis on a proposal of a tailor-made roadmap that manages the knowledge related to automation skills to be applied during the concurrent engineering phase. The approach of this Research and Development (R&D) roadmap is a particular guideline in a structured form that uses the concepts of Plan-Do–Check–Act (PDCA) method integrated to other quality tools and know-how in robotization, for management of this specific knowledge. This research work aims to guide the staff (project managers, engineers and technicians) who work multidisciplinary in concurrent engineering environment about the robot’s implementation steps and significant tips related to the deployment phases that can be beneficial when this proposed roadmap is applied. Also, it was developed to assist the robot’s installation and their validation on shop floor, aiming the best class of industrial processes regarding the automation. The main contribution and novelty of this paper is to propose a R&D roadmap that drives and assists the multidisciplinary work teams since the identification of robotization opportunities till the assurance of quality requirements established for the concerned process, in addition to a continuous improvement program to carry it on. Besides that, this work provides a high relevance in terms of knowledge management related to robotization expertise, spread of practical skills in concurrent engineering context and an unprecedented innovative contribution at science frontier.
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