The development of modelling tools to improve energy efficiency in manufacturing processes and systems
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TLDR
The development of Industry 4.0 is reviewed, along with new and emerging technologies allowing for increased automation, connectivity and flexibility within manufacturing, as well as visual techniques to provide further understanding and clarity of manufacturing processes such as digital twins, virtual and augmented reality.About:
This article is published in Journal of Manufacturing Systems.The article was published on 2019-04-01 and is currently open access. It has received 80 citations till now. The article focuses on the topics: Energy consumption & Efficient energy use.read more
Citations
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Digital Twin: Enabling Technologies, Challenges and Open Research
TL;DR: Digital twins as discussed by the authors is an emerging concept that has become the centre of attention for industry and, in recent years, academia and a review of publications relating to Digital Twins is performed, producing a categorical review of recent papers.
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The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review
TL;DR: In this paper, a plethora of digital technologies effecting on manufacturing enterprises is discussed. But the authors focus on the effects in the smart factory domain, focusing on the effect in the manufacturing domain.
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Digital twins-based smart manufacturing system design in Industry 4.0: A review
TL;DR: The definitions, frameworks, major design steps, new blueprint models, key enabling technologies, design cases, and research directions of digital twins-based SMS design are presented and it is expected that this survey will shed new light on urgent industrial concerns in developing new SMSs in the Industry 4.0 era.
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Application of machine learning tools for energy efficiency in industry: A review
TL;DR: A literature review on methodologies reported in the scientific literature exploring the potential value of industrial data via the utilization of Machine Learning tools for energy efficiency related goals, identifying and examining in detail the scientific contributions published up to date.
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Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art
Ocident Bongomin,Aregawi Yemane,Brendah Kembabazi,Clement Malanda,Mwewa Chikonkolo Mwape,Nonsikelelo Sheron Mpofu,Dan Tigalana,Dan Tigalana +7 more
TL;DR: In this paper, a study aimed at identifying industry 4.0 neologisms and illustrating the convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated.
References
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Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach
Joost Duflou,John W. Sutherland,David Dornfeld,Christoph Herrmann,Jack Jeswiet,Sami Kara,Michael Zwicky Hauschild,Karel Kellens +7 more
TL;DR: A systematic overview of the state of the art in energy and resource efficiency increasing methods and techniques in the domain of discrete part manufacturing, with attention for the effectiveness of the available options is provided in this paper.
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About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
TL;DR: In this paper, the authors discuss the importance of industrial manufacturing for economy and society, including the question about the future of labor and technical and technological questions that have to be taken care of as well.
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Shaping the digital twin for design and production engineering
TL;DR: In this article, the authors propose a reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing, and address model conceptualization, representation, and implementation as well as applications along the product life cycle.
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The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0☆
TL;DR: A concept for the composition of a database is presented and guidelines for the implementation of the Digital Twin in production systems in small and medium-sized enterprises are proposed.
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Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed
TL;DR: The article concludes by presenting applications in which different state of the art simulation programs are linked for run-time data exchange, and allows the use of the simulation program best suited for the particular problem to model building heat transfer, HVAC system dynamics and control algorithms, and to compute a solution to the coupled problem using co-simulation.