Augmented Reality in Manufacturing and Logistics: Lessons Learnt from a Real-Life Industrial Application

Plakas, George; Ponis, Stavros T.; Agalianos, K.; Aretoulaki, Eleni; Gayialis, Sotiris P.

doi:10.1016/j.promfg.2020.10.227

Cited by 47 publications

(15 citation statements)

References 36 publications

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“…In addition, other AR-based application areas include education engineering (e.g., [ 240 , 241 ]), manufacturing processes performance (e.g., [ 242 , 243 , 244 , 245 ]), assembly workstations support (e.g., [ 246 , 247 , 248 , 249 ]), flexible manufacturing systems layout planning (e.g., [ 250 ]), product inspection during the design process (e.g., [ 251 ]), learning and training of 3D printing process (e.g., [ 252 ]), construction industry (e.g., [ 253 , 254 ]), AR application selection framework process (e.g., [ 255 ]), and logistics operations (e.g., [ 256 ]).…”

Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric performance analysis and a review of the systematic literature. First, the general bibliometric analysis was conducted based on the literature in Scopus and Web of Science databases. Later, the systematic search was performed using the Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria included the publication dates (studies published from 2012–2022), studies published in English, and studies found in the selected databases. In addition, the authors focused on research work within the scope of the Maintenance 4.0 study. Therefore, papers within the following research fields were selected: (a) augmented reality, (b) virtual reality, (c) system architecture, (d) data-driven decision, (e) Operator 4.0, and (f) cybersecurity. This resulted in the selection of the 214 most relevant papers in the investigated area. Finally, the selected articles in this review were categorized into five groups: (1) Data-driven decision-making in Maintenance 4.0, (2) Operator 4.0, (3) Virtual and Augmented reality in maintenance, 4) Maintenance system architecture, and 5) Cybersecurity in maintenance. The obtained results have led the authors to specify the main research problems and trends related to the analyzed area and to identify the main research gaps for future investigation from academic and engineering perspectives.

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Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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“…There are several categories in logistics where AR can be implemented: warehousing operations, transportation optimization, last-mile delivery, and enhanced value-added services. This technology enhances the user's real-world experience by using computer-generated display, sound, text, and effects to assist operators in routine tasks like assembly, order picking, and maintenance [1], [25], [26]. This study focuses on picking orders, which can be classified into seven types of picking techniques: pick-bypaper, pick-by-light, pick-by-vision, pick-by-voice, pick-bygesture, pick-by-scan, and cart-mounted display [13], [27], [28].…”

Section: Amentioning

confidence: 99%

“…As a result, this interactive type of training allows them to practise countless times without disrupting or interfering with ongoing procedures. Besides, employees can also be monitored in order to increase their awareness and prevent errors in warehouse operations [25], [36].…”

Section: Cmentioning

confidence: 99%

Pick-by-vision of Augmented Reality in Warehouse Picking Process Optimization – A Review

Jumahat

Sidhu

Shah

2022

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

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Augmented Reality (AR) is one of the most notable technologies in the Fourth Industrial Revolution (IR4.0), which uses the capabilities of computer-generated display, sound, text, and effects to improve the user's realworld experience through wearable equipment. Order picking operations in warehouse management systems (WMS) have a significant impact on overall operating efficiency. The conventional picking process is laborious to handle, which may result in deviations from predefined picking performance. Pick-by-vision, a new technology solution for order picking, is becoming increasingly popular and has been recognized as an essential technology supporting WMS nowadays. This article is a short review of AR pick-by-vision utilization to investigate the potential benefits and opportunities in optimizing warehouse picking operations. Besides presenting the basic concept of AR pick-by-vision, this study also produces a taxonomy layout of literature reviews for AR technology in WMS, to demonstrate the focus of the main area of the study. By reviewing 23 documents of AR pick-by-vision technology application, the analysis has produced important key findings, which are significant to the potential benefits of AR pick-byvision implementation in optimizing the warehouse operation. The accumulation of knowledge and actionable insights in this study will benefit both academics and practitioners interested in this emerging smart technology for future research.

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“…Nevertheless, AR technology is still in its infancy stages, and further research needs to be conducted to successfully introduce it to industrial environments. Specifically, the lack of scalable AR applications in real production lines is pinpointed [27] alongside the necessity for quality and reliability improvements of the proposed AR solutions [9,28]. Hardware limitations are also present regarding the AR devices' performance after extensive use and the battery consumption during high processing power tasks, such as image recognition [4,25].…”

Section: Literature Reviewmentioning

confidence: 99%

An Augmented Reality Symbiosis Software Tool for Sustainable Logistics Activities

2021

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Augmented Reality (AR) is an emerging technology in the Industry 4.0 and Logistics 4.0 contexts with an important role in man–machine symbiosis scenarios. Practitioners, although already acquainted with AR technology, are reluctant to adopt AR applications in industrial operations. This stems from the fact that a direct connection that is important for the management of sustainability goals is missing. Moreover, such a connection with economic, social, and environmental sustainability parameters sparsely appears in the AR literature. The proposed research, on one hand, presents an innovative architecture for a stable and scalable AR application that extents state-of-the-art solutions and, on the other hand, attempts to study AR technology within the framework of a sustainable business strategy. The developed system utilizes the Robot Operating System (ROS) alongside an AR mobile application to present an employee navigation scenario in warehouses and production lines. ROS is responsible for mapping the industrial facility, while the AR mobile application identifies the surrounding environment, along with a Real-Time Location System localizes employees in the facility. Finally, ROS identifies the shortest path between the employee and the destination point, while the AR mobile application presents the virtual path for reaching the destination.

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Augmented Reality in Manufacturing and Logistics: Lessons Learnt from a Real-Life Industrial Application

Cited by 47 publications

References 36 publications

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Pick-by-vision of Augmented Reality in Warehouse Picking Process Optimization – A Review

An Augmented Reality Symbiosis Software Tool for Sustainable Logistics Activities

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