1,720,999 research outputs found
Smart Operators: How Augmented and Virtual Technologies Are Affecting the Worker’s Performance in Manufacturing Contexts
No full textExploring human-robot interaction in remanufacturing: bibliometric insights
No full textHuman–robot interaction (HRI), in all its different variants, has gained significant attention in industry. The combination of human skills and robotics significantly enhances manufacturing, improving operations quality and efficiency. This is particularly relevant in highly variable contexts like remanufacturing, which aims to preserve the value of products and components over time and involves complex, non-standardized tasks such as inspection, disassembly, reprocessing, and reassembly. Uncertainties related to the conditions of products to remanufacture cannot be managed by pure automation making HRI highly beneficial. Although researchers have focused on the use of HRI in several fields of application (from construction to logistics), no extensive mapping of the research trends has specifically addressed the intersection of HRI and remanufacturing contexts. To fill this gap, this paper presents a comprehensive study based on a bibliometric analysis to explore the current state of research on this topic. Based on 120 articles from the Scopus database, this study points out the main countries, authors, and affiliations involved in the field. In addition, the key topics were analyzed. A predominant focus, above all in the last three years, on Human-Robot Collaboration (HRC) among the different levels of HRI, and disassembly processes was highlighted, while other related activities, such as reassembly, have received comparatively less attention. An unexplored frontier is the integration of Artificial Intelligence and Machine Learning with HRC tasks in remanufacturing. These findings offer valuable insights for researchers, scholars, and industrial professionals aiming to advance HRI in remanufacturing
A Strategic Roadmap to Improve the Maturity Level of Maintenance Information Management Systems
No full textMaintenance involves a large amount of data management. Although many tools, strategies, and systems, have been developed to organize the maintenance information resources, SMEs have not found the same benefits as large companies due to their inherent characteristics and, above all, the maturity level of the maintenance department. Maturity models are useful tools for assessing the maturity of maintenance information practices; however, existing models are not suitable for any type of business context, as they required companies to have a clear organizational structure and definite informative infrastructure. Moreover, they do not assist in identifying and defining actions to reach the highest level. This paper proposes a model for assessing and improving maintenance management information practices. It allows a clear measure of the maturity of the maintenance information management practices in industrial contexts and provides improvement actions identifying the information and data needed to enhance maintenance management information practices
Order allocation in purchasing management: a review of state-of-the-art studies from a supply chain perspective
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Human reliability in manual assembly systems: a Systematic Literature Review
No full textHuman error in manual assembly systems affects system reliability, safety and it is one of the most important causes of quality defects. Many researchers have developed methods for Human Reliability Analysis (HRA) with the aim of identifying, modeling, quantifying and reducing human error, mainly in safety-critical industries. This paper addresses human reliability analysis in assembly systems, where most of the employed workforce is currently involved. The main purpose is to systematically investigate the current state-of-the-art on this topic, analyzing and summarizing the theoretical and empirical contents, identifying patterns and research streams, informing the strengths and weakness of selected literature and so highlighting the research and practice opportunities. The results of this study show that a prospective analysis of human reliability in the manual assembly systems until now has been neglected in literature. Nevertheless, HRA methods and assembly specific methodologies and approaches found in literature can be successfully applied to assembly systems, allowing users to predict human error probability and to determine the most significant error influencing factors. Furthermore, the results highlight the role of human error in the occurrence of quality defects (rejected or reworking). This paper, therefore, contributes to the transfer of knowledge about human reliability gained in manual assembly operations, providing practitioners and researchers with a comprehensive overview of this topic and several research opportunities for future studies
An HRA-based simulation model for the optimization of the rest breaks configurations in human-intensive working activities
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