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)
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
Michal Balog, Lucia Knapcikova
Summary: Contactless identification systems are mainly used in industry and trade for efficient and rapid identification of objects. In the railway sector, this technology can be applied to monitor the technical state of pressure brakes and bearing chambers of the wheel set.
Article
Engineering, Chemical
Fanglei Sun, Zhifeng Diao
Summary: Intelligent manufacturing under Industry 4.0 integrates advanced technologies and artificial intelligence for sustainable production. This article introduces a method called Sustainable Production concerned with External Demands (SP-ED), which focuses on energy production and distribution for flawless and outage-less supply. It combines Ethereum blockchain monitoring and federated learning to ensure production and demand satisfaction. Through demand distribution validation and sustainability identification, blockchain records are used to handle failing conditions and modify production plans. FL and blockchain integration achieve sustainability for internal and external demands.
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)
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
Management
Marcos Dieste, Guido Orzes, Giovanna Culot, Marco Sartor, Guido Nassimbeni
Summary: This study challenges the assumption of a sustainable Fourth Industrial Revolution by identifying the possible unintended negative impacts of Industry 4.0 (I4.0) technologies on sustainability, highlighting the motivations and actions to mitigate such impacts, and evaluating alternative assumptions. The results reveal various unintended negative effects on environmental and social aspects, providing insights into the reasons, severity, and corrective actions for these impacts.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Engineering, Electrical & Electronic
Benedictus Rahardjo, Fu-Kwun Wang, Ruey-Huei Yeh, Yu-Ping Chen
Summary: This study explores the impact of combining Industry 4.0 technologies and Lean Manufacturing tools on organizational performance through a proposed Smart and Sustainable Manufacturing System (SSMS). The study presents Dynamic Lean 4.0 tools, such as Sustainable Value Steam Mapping (VSM), Extended Single Minute Exchange of Die (SMED), and Digital Poka-Yoke, as outputs of synergistic relationships that optimize production processes. A case study of vacuum degassing equipment fabrication demonstrates the improvement achieved by utilizing the DMAIC method with Digital Poka-Yoke. The study concludes that the implementation of SSMS successfully improved process capability, created a safer working environment, increased production yield, improved worker utilization, and resulted in cost savings.
Article
Engineering, Industrial
Christoph Liebrecht, Magnus Kandler, Matthias Lang, Sebastian Schaumann, Nicole Stricker, Thorsten Wuest, Gisela Lanza
Summary: The economically successful implementation of Industry 4.0 methods in industrial companies requires a structured introduction process, including the analysis and evaluation of available methods, selection of suitable ones, and development of specific implementation scenarios with prioritized methods.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Mathematics
Varun Tripathi, Somnath Chattopadhyaya, Alok Kumar Mukhopadhyay, Shubham Sharma, Changhe Li, Gianpaolo Di Bona
Summary: The present study aims to develop a methodology for cleaner production management using lean and smart manufacturing in Industry 4.0. The results of two case studies show that the developed methodology can achieve a sustainable production system and problem-solving, while enhancing productivity within limited constraints.
Article
Computer Science, Artificial Intelligence
Diego Augusto de Jesus Pacheco, Carlos Fernando Jung, Marcelo Cunha de Azambuja
Summary: This study presents the development of a novel industrial integrated information system based on open source and low-cost technologies. It analyzes the production system flow and performance using hardware and software, and addresses the challenges of implementing Industry 4.0 in practice.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Review
Green & Sustainable Science & Technology
Guillermo Fuertes, Jorge Zamorano, Miguel Alfaro, Manuel Vargas, Jorge Sabattin, Claudia Duran, Rodrigo Ternero, Ricardo Rivera
Summary: This study integrates the concepts of Industry 4.0, smart manufacturing, and sustainable manufacturing into a model, providing a conceptual framework for long-term solutions. Through a systematic review of literature from the past 5 years, the study diagnoses the current methodologies for addressing the challenges of Industry 4.0 and sustainability. The study also identifies 14 technological trends linked to Industry 4.0, which have a positive impact on sustainable manufacturing.
Review
Computer Science, Interdisciplinary Applications
Rohit Sharma, Charbel Jose Chiappetta Jabbour, Ana Beatriz Lopes de Sousa Jabbour
Summary: This paper conducts a bibliometric and network analysis of over 600 articles, highlighting the benefits of sustainability in the context of Industry 4.0. The findings provide a roadmap for mapping research in this field and identifying potential future directions.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(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
Green & Sustainable Science & Technology
Madhab Chandra Jena, Sarat Kumar Mishra, Himanshu Sekhar Moharana
Summary: This article introduces a smart RCM model by integrating Industry 4.0 technologies with reliability centered maintenance, highlighting the positive impact on production volume, downtime, MTBF, OEE, as well as energy consumption, carbon footprint, and water consumption, contributing to sustainability.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
