Journal Article10.1016/J.JII.2021.100257
Industry 5.0: A survey on enabling technologies and potential applications
Praveen Kumar Reddy Maddikunta,Quoc-Viet Pham,B. Prabadevi,N. Deepa,Kapal Dev,Thippa Reddy Gadekallu,Rukhsana Ruby,Madhusanka Liyanage +7 more
TL;DR: This paper aims to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0 from the perspective of different industry practitioners and researchers.
read more
About: This article is published in Journal of Industrial Information Integration. The article was published on 11 Aug 2021. The article focuses on the topics: Cloud manufacturing & Edge computing.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Figures

Figure 1: Illustration of Industrial Evolution. 
Table 3: Industry 5.0 potentials, challenges and future directions. 
Figure 3: The cloud manufacturing ecosystem. 
Figure 4: Key enabling technologies of Industry 5.0. 
Figure 5: Industry 5.0 potentials, challenges and future directions. 
Figure 2: Industry 5.0 applications.
Citations
Knowledge mapping of resilience and human rights in supply chains: A roadmapping taxonomy for twin green and digital transition design
TL;DR: In this paper , a road mapping taxonomy based on knowledge mapping of a dataset collected in late December 2022 from the Web of Science Core Collection is proposed to enrich the sustainability-practice approach.
Executive-centered AI? Designing predictive systems for the public sector.
TL;DR: In this paper , a field study at an AI company was conducted to investigate how AI is performed as developers enact two predictive systems along with stakeholders in public sector accounting and public sector healthcare, focusing on how objectives, structured performances and divisions of labor are built into the two systems and at whose expense.
6
Medicine Drug Name Detection Based Object Recognition Using Augmented Reality
Ch. Rupa,Gautam Srivastava,Bharath Ganji,Sai Praveen Tatiparthi,Karthik Maddala,Srinivas Koppu,Jerry Chun-Wei Lin +6 more
TL;DR: The proposed method is a mobile application that uses a native camera and optical character recognition algorithm (OCR) to extract the text on the medicines and identifies the generic name and category of the drug using the dedicated DNR database.
6
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
Enrico Alberti,Sergio Alvarez-Napagao,Victor Anaya,Marta Barroso,Cristian Barrué,Christian Beecks,Letizia Bergamasco,Sisay Adugna Chala,Victor Gimenez-Abalos,Alexander Graß,Daniel Hinjos,Maike Holtkemper,Natalia Jakubiak,Alexandros Nizamis,Edoardo Pristeri,Miquel Sànchez-Marrè,Georg Stefan Schlake,Jona Scholz,Gabriele Scivoletto,Stefan Walter +19 more
TL;DR: The proposed method accomplishes this through the knowlEdge architecture, which enables human operators to implement AI solutions using a zero-touch framework and relies on containerized AI model training and execution, supported by a robust data pipeline and rounded off with human feedback and evaluation interfaces.
6
Nanopapers toward Green Photonic and Optical Applications
Amir Reza Sharifi,Tina Naghdi,Hossein Yousefi,Mohammad Ali Kiani,Hamed Golmohammadi +4 more
- 09 Dec 2022
TL;DR: Nanopapers are known as thin sheets made of renewable nanomaterials including nanocellulose, nanochitin, and Nanochitosan that endow much superior physicochemical merits in comparison to ordinary paper as mentioned in this paper .
6
References
Edge Computing: Vision and Challenges
TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
7.1K
A Survey of Methods for Explaining Black Box Models
Riccardo Guidotti,Anna Monreale,Salvatore Ruggieri,Franco Turini,Fosca Giannotti,Dino Pedreschi +5 more
TL;DR: In this paper, the authors provide a classification of the main problems addressed in the literature with respect to the notion of explanation and the type of black box decision support systems, given a problem definition, a black box type, and a desired explanation, this survey should help the researcher to find the proposals more useful for his own work.
Industry 4.0
Heiner Lasi,Peter Fettke,Hans-Georg Kemper,Thomas Feld,Michael J. Hoffmann +4 more
- 19 Jun 2014
TL;DR: The term “Industry 4.0” describes a future project that can be defined by two development directions: an economic and ecological increase in efficiency and an exceptional technology-push in industrial practice.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi,Mohammed Berrada +1 more
TL;DR: This survey provides an entry point for interested researchers and practitioners to learn key aspects of the young and rapidly growing body of research related to XAI, and review the existing approaches regarding the topic, discuss trends surrounding its sphere, and present major research trajectories.
3.2K
Industry 4.0: A Survey on Technologies, Applications and Open Research Issues
TL;DR: A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
2.7K