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Article
Computer Science, Interdisciplinary Applications
Emanuele Pagone et al.
Summary: This work presents a framework to assess the robustness of manufacturing systems, quantifying it by considering the variance of performance indicators. Key objectives are defined to guide exploration of the system's characteristics. Multiple simulation experiments are run and analyzed statistically, including financial implications. Tested with a case study, the framework proves its potential to improve robustness, identifying disruptive dispatching policies.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Interdisciplinary Applications
Dimitrios Pantazis et al.
Summary: Industrial energy consumption is a major contributor to global use, and companies that invest in energy waste reduction can greatly impact emission reduction. Exceeding energy usage limits can result in taxation and charges. For example, in the UK, businesses can face a Climate Change Levy and high energy bills.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Tan Do-Duy et al.
Summary: In this letter, a mobile edge computing (MEC) architecture assisted by digital twin (DT) is studied for industrial automation. The goal is to reduce end-to-end latency by intelligently offloading computing tasks from multiple Internet-of-Things (IoT) devices to multiple MEC servers. The proposed solution formulates the end-to-end latency minimization problem considering the constraints of quality-of-services and computation resources in industrial IoT networks. Simulation results demonstrate the effectiveness of the proposed method in improving latency performance compared to conventional methods.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Review
Agriculture, Multidisciplinary
Natasja Ariesen-Verschuur et al.
Summary: Digital Twins are a new phase in smart and data-driven greenhouse horticulture that can enhance productivity and sustainability. Current applications focus on the cultivation process at the greenhouse level, including climate control, energy management, and lighting. Most applications involve monitoring and controlling the state and behavior of real-life objects.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Engineering, Industrial
Sihan Huang et al.
Summary: This article discusses the recent attention given to Industry 5.0 and Society 5.0, which are futuristic concepts focusing on sustainable and human-centric industries and resolving social problems. The coexistence of these two concepts raises questions that need to be answered for their development.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Chemistry, Analytical
Mariana Segovia et al.
Summary: This paper introduces the concept of digital twins and focuses on the process of construction. It explores how to design, create, and connect physical objects with their virtual counterparts, and provides solutions for each stage and experimental platforms.
Article
Engineering, Manufacturing
Patrick Sapel et al.
Summary: This paper presents a conceptual approach of Digital Shadows based on ontology to provide a holistic data view for flexible production planning and control (PPC) in dynamic production environments. An exemplary real-world application in injection molding demonstrates the benefits of this concept.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2022)
Review
Energy & Fuels
Dimitris Mourtzis et al.
Summary: Industry 5.0, as a subset of Society 5.0, builds on the foundations of Industry 4.0 and emphasizes human-centered, resilient, and sustainable design, leading to societal transformation.
Article
Food Science & Technology
Maximilian Kannapinn et al.
Summary: This paper proposes a physics-based, data-driven Digital Twin framework for autonomous food processing, which aims to achieve controllability of thermal processing through real-time simulations with virtual probes. The study focuses on a parsimonious experimental design for training non-intrusive reduced-order models and utilizes the surface temperature characteristics in the training data to efficiently select data. The best model exhibits small average test error, and the simulation speed-up allows on-device model predictive control.
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES
(2022)
Article
Engineering, Industrial
Jiewu Leng et al.
Summary: Industry 5.0 aims to prioritize human well-being in manufacturing systems, achieving social goals beyond employment and growth for the sustainable development of humanity. However, research on Industry 5.0 is still in its early stages and lacks systematic exploration. This paper reviews the evolution and characteristics of Industry 5.0, discusses its connotation system and diversified essence, and proposes a tri-dimensional system architecture for its implementation. It also examines key enablers, future implementation paths, potential applications, and challenges. The limitations of current research are discussed, and potential future research directions are highlighted.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Tsega Y. Melesse et al.
Summary: A technological gap in monitoring fruit quality evolution is causing waste in the food supply chain. Digital twin, as a virtual representation of real produce, shows promise in minimizing fruit waste by monitoring and predicting its status. This study presents a new approach to create a machine learning-based digital twin of banana fruit to monitor its quality changes during storage. The use of a thermal camera and deep convolutional neural network training have shown high accuracy in monitoring fruit status based on thermal information.
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Dimitris Mourtzis et al.
Summary: This paper introduces the application of edge computing in the industrial field and the challenges involved. It proposes a design and development plan for an edge computing platform to distribute computational load and utilize machine learning techniques for calculating the remaining useful life of critical components. Additionally, the paper emphasizes the advantages of using 5G networks.
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
(2022)
Article
Engineering, Industrial
Asma Ladj et al.
Summary: This paper discusses the importance of Digital Shadow in Digital Twin systems, using data management and analytics to enhance decision-aid capabilities. Digital Shadow combines expert knowledge and AI-generated rules, continuously optimizing through learning to simulate the real behavior of physical systems. An example in the aeronautic machining industry demonstrates the potential impact of this approach.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Arezou Entezaminia et al.
Summary: Manufacturing systems are major carbon emitters and are regulated by governments to control emissions. Cap-and-trade is an efficient regulation where tradable allowances are given to emitters. This study focuses on developing a joint production and trading control policy for unreliable manufacturing systems under cap-and-trade regulation to minimize costs and reduce emissions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Chemistry, Multidisciplinary
Dimitris Mourtzis et al.
Summary: This research utilizes Discrete Event Simulation to design and evaluate a real manufacturing system in the copper industry, analyzing real production data and identifying the impact of individual parameters on the system response to select proper configurations for near-optimal outcomes.
APPLIED SCIENCES-BASEL
(2021)
Article
Mathematics, Interdisciplinary Applications
Lishamol Tomy et al.
Summary: This paper discusses the interdisciplinary collaboration between Environmental Sciences and Statistics, highlighting the use of statistical methods as a key tool for solving environmental problems, and providing a foundation for collaborative learning between environmental scientists and quantitative researchers.
MATHEMATICAL AND COMPUTATIONAL APPLICATIONS
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
P. Chakrapani et al.
Summary: Aluminium metal matrix micro composites and nano composites are widely used in industries such as aerospace and marine due to their combined mechanical properties. Al7075 alloy, the hardest material, is challenging to machine using conventional methods. Water jet machining with abrasives flow technique is commonly used for machining intricate shapes of hard aluminium MMCs and MMNCs. The variables of the AJM process and their effects on kerf width and material removal rate (MRR) were explained through experiments and simulation for acceptable results. The study highlighted the influence of pressure and flow rate on kerf width, and the impact of stand-off distance and pressure on MRR.
MATERIALS TODAY-PROCEEDINGS
(2021)
Article
Engineering, Industrial
Hoda ElMaraghy et al.
Summary: The article discusses the impact of changes in products, technology, business strategies, and production paradigms on the evolution of manufacturing systems, as well as the trend of adopting human-centric decision making in meshed collaboration with intelligent systems. It also reviews the implications and preparedness for the shift towards more responsive, intelligent adaptive systems, and presents research and industrial use cases. Furthermore, the article articulates a vision for the new Adaptive Cognitive Manufacturing System (ACMS) paradigm, highlighting its characteristics, drivers, and enablers in the digital and cognitive transformation.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Review
Computer Science, Information Systems
Maulshree Singh et al.
Summary: Digital Twin (DT) serves as a virtual copy of physical entities, interconnected in real time through data exchange, with wide applications and expected exponential growth. The complexity of Industry 4.0 system data generation adds to the confusion and lack of consensus surrounding DT terminology and types. Understanding the characteristics and types of DT, and weighing its pros and cons, is crucial for investors and industries.
APPLIED SYSTEM INNOVATION
(2021)
Article
Engineering, Industrial
Dimitris Mourtzis
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Computer Science, Information Systems
Ricardo S. Alonso et al.
Article
Engineering, Geological
Danqi Li et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2020)
Proceedings Paper
Automation & Control Systems
Annalisa Santolamazza et al.
Article
Chemistry, Physical
Razvan Udroiu et al.
Article
Computer Science, Theory & Methods
Wazir Zada Khan et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Proceedings Paper
Engineering, Industrial
Michael Riesener et al.
26TH CIRP CONFERENCE ON LIFE CYCLE ENGINEERING (LCE)
(2019)
Proceedings Paper
Automation & Control Systems
C. Brecher et al.
2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
(2019)
Article
Computer Science, Interdisciplinary Applications
David A. Guerra-Zubiaga et al.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2018)
Article
Engineering, Industrial
Morteza Ghobakhloo
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2018)
Article
Engineering, Electrical & Electronic
Najmul Hassan et al.
IEEE COMMUNICATIONS MAGAZINE
(2018)
Review
Engineering, Industrial
Marco Bortolini et al.
JOURNAL OF MANUFACTURING SYSTEMS
(2018)
Article
Green & Sustainable Science & Technology
Wenyan Song et al.
JOURNAL OF CLEANER PRODUCTION
(2017)
Article
Engineering, Manufacturing
Yi Wang et al.
ADVANCES IN MANUFACTURING
(2017)
Article
Management
Stefano Penazzi et al.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2017)
Article
Computer Science, Interdisciplinary Applications
K. Efthymiou et al.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2016)
Article
Computer Science, Interdisciplinary Applications
Nees Jan van Eck et al.
