以人为本的自动化生产线绿色设计:利用虚拟和增强现实整合工业数据,促进可持续发展

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Industrial Information Integration Pub Date : 2025-03-01 Epub Date: 2025-02-18 DOI:10.1016/j.jii.2025.100801
Giuditta Contini , Fabio Grandi , Margherita Peruzzini
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引用次数: 0

摘要

从工业4.0到工业5.0的快速演变提高了在复杂系统设计中整合可持续性实践的需求,特别是在制造业。该研究提出了可持续数字孪生(SDT)框架的发展,旨在加强复杂工程系统的可持续设计实践。该框架将数字产品模型与可持续性指标相结合,并使用虚拟现实(VR)和增强现实(AR)来促进绿色设计原则。该方法首先定义由生命周期评估(LCA)工具获得的具体可持续发展关键绩效指标(s - kpi)。之后,使用VR和AR可以设计和开发定制的交互式仪表板,以提供社会,环境和经济维度的可持续发展指标的全面概述,并支持产品生命周期中的决策。这种跨学科方法的核心要素是采用以人为本的设计理念,确保用户界面直观和用户友好,以绿色设计工具为基础,辅以先进的数字技术。人机交互模型的整合旨在将当前主要关注环境性能的绿色设计实践扩展到社会领域,包括以人为本的方面,如可用性、可及性、使用舒适性和愉悦性。该研究将提出的跨学科方法应用于自动化生产线的工业案例研究,重点是陶瓷工业,与该领域的一家世界领先公司合作开发。该案例研究强调了SDT和AR/VR相结合的潜力,为可持续协同设计创造了一个动态的互动平台,最终为陶瓷行业的绿色设计实践做出了贡献,并为其他旨在实现类似目标的行业提供了可扩展的模型。
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Human-Centric Green Design for automatic production lines: Using virtual and augmented reality to integrate industrial data and promote sustainability
The rapid evolution from Industry 4.0 to Industry 5.0 has heightened the need for integrating sustainability practices within complex system designs, particularly in the manufacturing sector. The research presents the development of a Sustainability Digital Twin (SDT) framework aimed at enhancing sustainable design practices for complex engineering systems. This framework integrates digital product models with sustainability indicators and uses Virtual Reality (VR) and Augmented Reality (AR) to promote Green Design principles. The approach begins with the definition of specific Sustainability Key Performance Indicators (S-KPIs) obtained by Life Cycle Assessment (LCA) tools. After that, using VR and AR allows to design and develop customized interactive dashboards to provide a comprehensive overview of sustainability indicators across the social, environmental, and economic dimensions, and to support decision-making along the product lifecycle. A core element of this transdisciplinary methodology is the adoption of a human-centered design philosophy, ensuring that user interfaces are intuitive and user-friendly, to Green Design tools, with the support of advanced digital technologies. The integration of human-machine interaction models aims at extending the current Green Design practices, mainly focused on environmental performances, towards social areas, including human-centric aspects such as usability, accessibility, comfort and pleasure in use. The research applies the proposed transdisciplinary approach to an industrial case study on automatic production lines, focusing on the ceramics industry, developed in collaboration with a world leading company in this sector. The case study highlighted the potential of combining SDT and AR/VR to create a dynamic and interactive platform for sustainable co-design, ultimately contributing to the advancement of Green Design practices in the ceramic industry and providing a scalable model for other industries aiming to achieve similar goals.
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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
期刊最新文献
Job-shop scheduling with resource flexibility: A systematic review from traditional to AI-integrated approaches Human-Centric automation to intelligent information integration: A mixed-methods framework for industry 5.0 manufacturing Component-level multi-lifecycle end-of-life framework, enhancing sustainability and profitability Attribute relationship based road-safety information acquisition for autonomous driving Ensemble of regressors for gross error identification: an optimisation approach
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