Review
Chemistry, Multidisciplinary
Amr T. Sufian, Badr M. Abdullah, Muhammad Ateeq, Roderick Wah, David Clements
Summary: This paper proposes a conceptual approach based on six stages, introducing different methodologies and strategies for smart manufacturing implementation. It also suggests a simple and comprehensive roadmap to support manufacturing organizations in transitioning to smart factories and achieving resilience, flexibility and sustainability.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Pavlos Eirinakis, Gregory Kasapidis, Ioannis Mourtos, Panagiotis Repoussis, Eleni Zampou
Summary: This paper introduces a Situation-Aware Manufacturing System framework that aims to identify and predict disruptions in manufacturing systems, evaluate their impact and react timely to repair affected processes. The framework combines capabilities of Industry 4.0 technologies, predictive analytics, simulation, and optimization tools, and is built upon a decision-making model based on situation awareness and design science research approach.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Automation & Control Systems
Jiewu Leng, Shide Ye, Man Zhou, J. Leon Zhao, Qiang Liu, Wei Guo, Wei Cao, Leijie Fu
Summary: Blockchain technology is driving business and industrial innovation as a new generation secure information technology, but its applications in Industry 4.0 are facing challenges such as scalability, flexibility, and cybersecurity issues. This study discusses cybersecurity issues in manufacturing systems and proposes metrics for implementing blockchain applications, providing insights for future research directions in blockchain-secured smart manufacturing.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Zixiang Nie, Kwang-Cheng Chen
Summary: This article addresses the challenges brought by frequent production flow adjustment in smart factories by proposing an innovative real-time multirobot task allocation method. By using a hypergraph MRS model and a hypergraph search algorithm, the coordination of a heterogeneous MRS is achieved to fulfill production demands and optimize productivity and energy efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Business
Hyunmi Jang, Mohamed Yacine Haddoud, Saeyeon Roh, Adah-Kole Emmanuel Onjewu, Taeeun Choi
Summary: Despite the pervasiveness of the Fourth Industrial Revolution, few studies have examined the adoption of smart factories. This study investigates the factors driving the adoption of smart factories in South Korean marine equipment firms using a fuzzy-set configuration approach. The findings reveal complex paths with factors such as government support and the entrepreneurial spirit of top management shaping the implementation of smart factories.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Editorial Material
Engineering, Industrial
Rahul Rai, Manoj Kumar Tiwari, Dmitry Ivanov, Alexandre Dolgui
Summary: Machine learning techniques in the context of Industry 4.0 have significantly impacted the manufacturing industry by enabling smart factories, improving efficiency, and offering predictive insights, but they also face challenges such as big data management, real-time intelligence extraction, and cybersecurity concerns.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Review
Optics
Ahmad Aminzadeh, Joys Silva Rivera, Pedram Farhadipour, Anas Ghazi Jerniti, Noureddine Barka, Abderrazak El Ouafi, Fatemeh Mirakhorli, Francois Nadeau, Marc-Olivier Gagne
Summary: The aim of this review paper is to investigate the laser welding and forming process in the context of smart manufacturing and welding intelligent systems in Industry 4.0, focusing on Aluminum Laser Welded Blanks (ALWB) forming. Manufacturing companies and their business models have significant impact on economic development and social relationships. Aluminum welding is challenging due to its tendency to form porosity, thus real-time sensor-based monitoring has gained importance for accuracy and quality. Laser power, speed, focal point, scanning, and frequency are critical factors in laser technology for zero-defect manufacturing. Geometrical defects and porosity defects are critical parameters in the forming process. This review paper provides insights on different sensors and proposes a roadmap for applying Industry 4.0 in ALWB forming.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Mathematics
Javier Llopis, Antonio Lacasa, Eduardo Garcia, Nicolas Montes, Lucia Hilario, Judith Vizcaino, Cristina Vilar, Judit Vilar, Laura Sanchez, Juan Carlos Latorre
Summary: This article introduces a new concept called manufacturing maps for real-time factory management. Manufacturing maps are generated using mini-terms and Petri nets, allowing for production improvement and predictive maintenance. By applying mini-terms and utilizing big data, a complete model of a factory can be created using Petri nets. Manufacturing maps provide a hierarchical construction and enable analysis and simulation, making them a valuable tool for industry applications.
Review
Engineering, Industrial
Jeff Morgan, Mark Halton, Yuansong Qiao, John G. Breslin
Summary: This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS) and explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. Key areas reviewed include RMS fundamentals, machine control technologies, and machine intelligence paradigms. The paper establishes a vision for next-generation Industry 4.0 manufacturing machines with Smart and Reconfigurable (SR*) capabilities.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Review
Computer Science, Interdisciplinary Applications
Hector Canas, Josefa Mula, Manuel Diaz-Madronero, Francisco Campuzano-Bolarin
Summary: This article focuses on the advances, advantages, limitations, requirements, and methodologies in implementing the strategic Industry 4.0 (I4.0) initiative, particularly in the field of production planning. It proposes a taxonomy of I4.0 design terms and presents models, algorithms, and components used in an I4.0 setting.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Amitangshu Pal, Junbo Wang, Yilang Wu, Krishna Kant, Zhi Liu, Kento Sato
Summary: Situational awareness aims to understand important events and circumstances in the physical world through sensing, communication, and reasoning. Social media, especially Twitter, is increasingly being used to track evolving situations and provide resources during disasters. However, extracting useful information from the available data faces challenges such as filtering irrelevant data, integrating heterogeneous data from multiple sources, and working with partially geo-tagged social media data. This paper provides a comprehensive survey on data analytics for assessing situational awareness from social media big data.
IEEE TRANSACTIONS ON BIG DATA
(2023)
Article
Automation & Control Systems
Juan Wang, Di Li, Yueming Hu
Summary: This article proposed a fog nodes deployment strategy based on space-time characteristics (TSBP) to minimize computing response time and achieve load balancing for intelligent manufacturing systems. By using the discrete differential evolution algorithm, the optimal fog nodes deployment solution was searched and validated on a candy packaging intelligent production line prototype platform.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Business
Benjamin Meindl, Nestor Fabian Ayala, Joana Mendonca, Alejandro G. Frank
Summary: The literature on Industry 4.0 has grown exponentially in the past decade, mainly focusing on Smart Manufacturing. While attention to other smart dimensions is increasing, Smart Working remains an underexplored area with plenty of opportunities for future research. Research opportunities are concentrated at the interfaces between different smart dimensions, supporting Industry 4.0 as a concept transcending the Smart Manufacturing field and creating opportunities for synergies with other related fields. Scholars can use these findings to understand journal orientations and identify gaps for future research.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Chemistry, Analytical
Irfan Baig Mirza, Dimitrios Georgakopoulos, Ali Yavari
Summary: This paper introduces a highly scalable, innovative Cyber-physical-social Awareness (CPSA) platform that provides situation awareness by using and intersecting information from both IoT sensors and social media. The CPSA platform combines and fuses information from sensors and social media spaces, and uses user-provided situation models to refine and intersect cyber, physical, and social information. The evaluation shows that the CPSA platform can reliably process and intersect with large volumes of IoT sensor and social media data to provide enhanced situation awareness.
Article
Computer Science, Software Engineering
Deepak Dhungana, Alois Haselboeck, Sebastian Meixner, Daniel Schall, Johannes Schmid, Stefan Trabesinger, Stefan Wallner
Summary: This paper introduces an approach to generate production plans across multiple factories by considering both static information and dynamic data analysis. By monitoring machine states and analyzing machine conditions, the effectiveness of production plans is ensured.
JOURNAL OF SYSTEMS AND SOFTWARE
(2021)
