Paradigm Shift In Manufacturing Research Articles

DIGITAL MANUFACTURING MODEL FOR REMOTELY OPERATED VEHICLE (ROV) IN INDONESIA: A CONCEPT STUDY

Industrial revolution 4.0 era represents a paradigm shift in manufacturing and technology, which is characterized by an integrated and interconnected system to support the operation of an industry. Many countries contributed to this era, including Indonesia. As a maritime country, maritime-related products have the potential to be offered. Remotely operated vehicles (ROV) is a form of digitalization product that is frequently used to support the operation of the maritime industry. Therefore, ROV is manufactured locally to provide easier access to industries demanding ROV. Digital manufacturing for ROV can bring further contributions towards industrial revolution 4.0, which involves the usage of digital technologies such as computer-aided design and manufacturing (CAD/CAM), internet of things (IoT), artificial intelligence (AI), and robotics to create an integrated manufacturing system. Furthermore, digital manufacturing information system provides real-time information during the manufacturing process. According to this study, digital manufacturing can significantly improve the efficiency and integration in manufacturing the ROV.

Exploring the Synergy of Artificial Intelligence and Robotics in Industry 4.0 Applications

This article delves into the transformative collaboration between Artificial Intelligence (AI) and robotics within the context of Industry 4.0 applications. Industry 4.0 represents a paradigm shift in manufacturing, characterized by the integration of advanced technologies. The synergy between AI and robotics plays a pivotal role in reshaping industrial processes, leading to increased automation, predictive maintenance strategies, collaborative robotics (cobots), enhanced quality control, and optimized supply chain operations. AI algorithms empower machines to learn, adapt, and make intelligent decisions, fostering adaptability and efficiency in manufacturing. The seamless integration of AI and robotics not only improves operational processes but also introduces novel approaches to human-robot collaboration, quality assurance, and supply chain management. The article also addresses challenges associated with this integration, such as workforce displacement concerns and the need for standardized communication protocols. As the field continues to evolve, navigating these challenges and capitalizing on the ongoing advancements in AI and robotics will be instrumental in unlocking the full potential of their collaborative synergy, ultimately defining the future landscape of Industry 4.0.

Single‐Step Deformation Processing of Ultrathin Lithium Foil and Strip

AbstractNext‐generation, high‐efficiency energy storage and conversion systems require development of lithium metal batteries. But the high cost of production and constraints on thickness of lithium (anode) foils continue to limit adoption for integration into battery cell architectures. Here, a novel lithium anode manufacturing solution is demonstrated – single‐step production of ultrathin gauge foil formats directly from solid ingot. Hybrid cutting‐based deformation processes, involving large plastic strains and strain rates, produce foil to sub‐10 µm thickness, with surface quality even superior to present Li anode processing routes. Energy analysis shows the single‐stage processing is ≈50% more efficient than conventional processing by extrusion‐rolling. Through in situ force measurements and high‐speed imaging of the cutting it also characterize – for the first time – the flow stress of Li to strain rates of 800 sec−1, revealing a power‐law relationship. The results present a paradigm shift in manufacturing and integration of solid lithium anodes for energy applications.

Industry 4.0 Implementation Framework for the Composite Manufacturing Industry

This paper aims to propose an Industry 4.0 implementation model relevant to the composite manufacturing industry and offer it to academia and manufacturing practice in order to aid successful change and adoption. The research scope is defined at an intersection of challenges within the composites industry, as well as Industry 4.0. A critical review of relevant papers was used to establish key trends and gaps in professional practice. Exposed challenges and opportunities were then synthesized to propose a conceptual framework for implementing Industry 4.0. Findings suggest that the predicted growth of the composites sector depends on the paradigm shift in manufacturing. Industry 4.0, including automation, and horizontally and vertically integrated business models are seen as enablers. However, the value proposition or organizational resistance in establishing such integration is not sufficiently addressed or understood by the industry. Achieving a successful design for manufacturing (DFM), or, more generally, design for excellence (DFX), is identified as the target performance objectives and key business process enablers used to introduce Industry 4.0 technology. The identified key gap in professional practice indicate the lack of a model used for structuring and implementing Industry 4.0 technology into composite businesses. The existence of an identified gap, evidenced by the lack of literature and available knowledge, reinforces the need for further research. To enable further research, and to facilitate the introduction of Industry 4.0 in composite manufacturing firms, a conceptual implementation framework based on the systems engineering V model is proposed. The paper concludes with topics for further investigation.

From Industry 4.0 to Supply Chain 4.0: A systematic review

The latest development of advanced manufacturing technology drives the manufacturing paradigm shift as Industry 4.0. The supply chain and logistics play important roles to increase the operational efficiency so as to further boost the overall productivity of the holistic production system. The latest technologies, such as Machine Learning, Big Data, the Internet of Things, and Cloud platforms, enable manufacturers to overcome the challenges and enhance their competitive advantages. The purpose of this paper is to review how the latest technologies for Industry 4.0 can incorporate into inbound and outbound logistics to meet the latest requirements of customers. Having reviewed around 500 papers from the Web of Science database, a comprehensive supply chain framework that supports Industry 4.0 is proposed. The paper provides the managerial implications and insights for future research work for Supply Chain 4.0.

Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding

A manufacturing paradigm shift from conventional control pyramids to decentralized, service-oriented, and cyber-physical systems (CPSs) is taking place in today’s 4th industrial revolution. Generally accepted roles and implementation recipes of cyber systems are expected to be standardized in the future of manufacturing industry. The authors intend to develop a novel CPS-enabled control architecture that accommodates: (1) intelligent information systems involving domain knowledge, empirical model, and simulation; (2) fast and secured industrial communication networks; (3) cognitive automation by rapid signal analytics and machine learning (ML) based feature extraction; (4) interoperability between machine and human. Semantic integration of process indicators is fundamental to the success of such implementation. This work proposes an automated semantic integration of data-intensive process signals that is deployable to industrial signal-based control loops. The proposed system rapidly infers manufacturing events from image-based data feeds, and hence triggers process control signals. Two image inference approaches are implemented: cloud-based ML model query and edge-end object shape detection. Depending on use cases and task requirements, these two approaches can be designated with different event detection tasks to provide a comprehensive system self-awareness. Coupled with conventional industrial sensor signals, machine vision system can rapidly understand manufacturing scenes, and feed extracted semantic information to a manufacturing ontology developed by either expert or ML-enabled cyber systems. Moreover, extracted signals are interpreted by Programmable Logical Controllers (PLCs) and field devices for cognitive automation towards fully autonomous industrial systems.

How Can Government Promote Technology Diffusion in Manufacturing Paradigm Shift? Evidence From China

Traditional technology diffusion literature focuses on the diffusion of technologies within the extant manufacturing paradigm. By contrast, few studies have explored the determinants and mechanisms of technology diffusion when moving across manufacturing paradigms. In this article, therefore, we aim to explore the intrinsic and institutional factors, as well as the impact mechanism on technology diffusion in the context of manufacturing paradigm shift. Specifically, this article investigates the role of the government in this scenario. A firm-level survey is conducted to investigate the National Programme “Made in China 2025” and its first demonstration city Quanzhou. The data comes from multiple sources, including questionnaires, official statistics data, and patent databases. Logistical regression is used to analyze 236 valid observations. Results reveal that besides the intrinsic factors including the characteristics of general purpose technology (GPT) and economic expectation, GPT-oriented service platforms also have significant impacts on technology diffusion in a manufacturing paradigm shift. In addition, government interventions, especially indirect ones, have significant moderating effects on this influential mechanism. This study provides insight into how government can promote technology diffusion in a manufacturing paradigm shift. These results will be of interest to policy makers, industrialists, and academics.

Internet-based intelligent and sustainable manufacturing: developments and challenges

In recent years, the nations of the world have presented the development strategy of manufacturing. Manufacturing is the foundation of a country. However, with the increasing global resource constraints and market heterogeneity, the variety of individual demands, and the long-term goals of sustainable development, with the support of emerging information and communication technologies such as Internet, cyber-physical system, Internet of Things, cloud computing, and big data, industrial value creation is causing a paradigm shift in manufacturing. This paper studies a range of new manufacturing paradigms and presents a state-of-the-art survey of published works. It explores the corresponding current manufacturing concepts, technologies, framework features, application effects, resource optimization, and future challenges in these new paradigms. The integration of various manufacturing paradigms is also analyzed. Through this survey, the developments of these new manufacturing paradigms are explained and the future prospects are also discussed.

Issue Highlights

The Canadian Journal of Chemical EngineeringVolume 97, Issue 10 p. 2575-2575 Issue HighlightsFree Access Issue Highlights First published: 12 September 2019 https://doi.org/10.1002/cjce.23281AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Experimental methods in chemical engineering: Micro-reactors-p. 2578 Arturo Macchi, Patrick Plouffe, Gregory S. Patience and Dominique M. Roberge The bulk chemical industry continues to build bigger plants but micro-reactors represent a paradigm shift in manufacturing: they contribute to process intensification—productivity an order of magnitude (and more) greater in a smaller footprint—with sub-millimetre lateral dimensions that reduce heat and mass transfer boundary layers. We propose a toolbox concept to select reactor types in order to optimize reactive conditions and then scale up, with relative confidence, through the clinical phases of pharmaceuticals. Research in the field is concentrated into five clusters: catalysis and kinetics; nano-particles; systems and microfluidics; chemistry and organic synthesis; and mass transfer and micro-channels.1 Experimental methods in chemical engineering: X-ray photoelectron spectroscopy-XPS-p. 2588 Josianne Lefebvre, Federico Galli, Claudia L. Bianchi, Gregory S. Patience and Daria C. Boffito X-ray photoelectron spectroscopy (XPS) identifies the elemental composition, empirical formula, chemical state, and electronic state of solid surfaces to a depth of 1-10 nm. With an atomic sensitivity of 0.1%, any exposure to ambient air contaminates the surface. X-ray beams irradiate solids held at 0.1 μPa and produce spectra of electrons where the intensity relates to concentration and position to an element's orbital and chemical environment. Research clusters that apply the technique include: nanoparticles and thin films; catalysis and oxidation; nanocomposites and graphene; photocatalysis and TiO2; and adsorption and aqueous solutions.2 Functionalized bacterial cellulose nanowhiskers as long-lasting drug nanocarrier for antibiotics and anticancer drugs-p. 2594 Mohamed M. Khattab and Yaser Dahman Biocompatible and nontoxic drug-nanocarriers based on a functionalized bacterial cellulose nanowhisker (BCNC-g-βCD) were developed. Compared to a pristine nanowhisker, the obtained drug-nanocarriers showed promising potential for conjugating higher payloads of antibiotic and anticancer drugs ranging from 495 ± 14 to 810 ± 17 μg/mg. In addition, the drug release profiles showed that 75-90% of drug payloads were released over 5-5.5 days in sustained and controlled manners with reduced initial blasts. Moreover, promoted drug release profiles were pragmatic in an acidic pH of 6.4 at 37°C, which mimics the tumour environment. The obtained observations demonstrate versatile medical applications for the obtained nanocarriers in localized and long-lasting drug delivery.3 Impeller power draw during turbulent operation in solid-liquid suspensions-p. 2662 Kevin J. Myers, Eric E. Janz, Tianxin Bao and M. Molly Heigel Measurements with six impeller types in solid-liquid suspensions indicate that power draw in the turbulent regime is approximately proportional to suspension density when the solids are distributed throughout the liquid; however, the accuracy of this approach is limited, with clear differences between impellers. Power draw increases are less than density increases for impellers with large blade-trailing vortices and are equal to or greater than density increases for impellers with smaller blade-trailing vortices. The data is well described by linear relations between impeller power number and the density difference correlating parameter of Micheletti et al, with slope depending on impeller type.4 REFERENCES 1A. Macchi, P. Plouffe, G. S. Patience, D. M. Roberge, Can. J. Chem. Eng. 2019, 97, 2578. 2J. Lefebvre, F. Galli, C. L. Bianchi, G. S. Patience, D. C. Boffito, Can. J. Chem. Eng. 2019, 97, 2588. 3M. M. Khattab, Y. Dahman, Can. J. Chem. Eng. 2019, 97, 2594. 4K. J. Myers, E. E. Janz, T. Bao, M. M. Heigel, Can. J. Chem. Eng. 2019, 97, 2662. Volume97, Issue10October 2019Pages 2575-2575 ReferencesRelatedInformation

Opportunities and challenges of quality engineering for additive manufacturing

Additive manufacturing (AM), commonly known as three-dimensional printing, is widely recognized as a disruptive technology, and it has the potential to fundamentally change the nature of future manufacturing. Through building products layer by layer, AM represents a paradigm shift in manufacturing, with many industrial applications. It enables production of huge varieties of customized products with considerable geometric complexity, extended capabilities, and functional performances. Despite tremendous enthusiasm AM faces major research challenges for widespread adoption of this innovative technology. Specifically, addressing the unique challenges associated with quality engineering of AM processes is crucial to the eventual success of AM. This article presents an overview of quality-related issues for AM processes and products, focusing on opportunities and challenges in quality inspection, monitoring, control, optimization, and transfer learning as well as on building quality into the product through design.

Cybersecurity for digital manufacturing

Digital manufacturing aims to create highly customizable products with higher quality and lower costs by integrating Industrial Internet of Things, big data analytics, cloud computing, and advanced robots into manufacturing plants. As manufacturing machines are increasingly retrofitted with sensors as well as connected via wireless networks or wired Ethernet, digital manufacturing systems are becoming more accessible than ever. While advancement in sensing, artificial intelligence, and wireless technologies enables a paradigm shift in manufacturing, cyber-attacks pose significant threats to the manufacturing sector. This paper presents a review of cybersecurity in digital manufacturing systems from system characterization, threat and vulnerability identification, control, and risk determination aspects as well as identifies challenges and future work.

INDÚSTRIA 4.0: DESAFIOS E OPORTUNIDADES

The evolution of information technology and its introduction into production processes is transforming traditional industry, bringing it to a new level of organizational development. In order to appropriate the benefits of these technologies to strengthen competitiveness in the global market, a paradigm shift in manufacturing is being discussed worldwide. Industry 4.0 or 4th Industrial Revolution are some of the terms used to describe the implementation of smart devices that can communicate autonomously along the value chain. In this context, technologies like Cyber-physical systems (CPS) self-organize, monitor processes and create a virtual copy of the real world, Internet of Things (IoT) connects machines, objects and people in real time and Cloud Computing offers solutions in addition to enabling the exchange and management of information, allowing production and business processes to be combined to create value for organizations. The overall objective of the study is to intensify the discussion and provide an overview of the Industry 4.0. As specific objectives, this study intends through a brief review of the literature describing its components, the main challenges and how the combination of advanced technologies and the internet can create new opportunities to meet current requirements.

Object‐Oriented RFID with IoT: A Design Concept of Information Systems in Manufacturing

The Internet of Things (IoT) has increasingly become important in industry. Connectivity over the internet of not only people but also devices (such as sensors, appliances, machines, robots, and vehicles) is leading to a paradigm shift in manufacturing. The Japanese government recognizes this and has stated that IoT connectivity and the methodologies to exploit it are paramount for Japanese industry. Currently, the necessary changes have been realized in large Japanese companies; however, implementation in smaller companies has been lagging, despite the advantages of introducing IoT technologies, due to the high cost. The objective of this research is to suggest a design concept which combines IoT and object‐oriented radio frequency identification (RFID). IoT technology is used for collecting, analyzing, and managing data, and an object‐oriented RFID system is used as a control process in manufacturing systems. In previous research, the objectoriented RFID system was shown to provide flexible management through the use of a variety of OORFID tags. The current research extends this by introducing object‐oriented RFID into IoT systems to improve the flexibility in the manufacturing systems. For the verification of this concept, an experimental IoT system using object‐oriented RFID was designed and implemented

Cloud manufacturing – a critical review of recent development and future trends

There is an ongoing paradigm shift in manufacturing, in which the modern manufacturing industry is changing towards global manufacturing networks and supply chains. This will lead to the flexible usage of different globally distributed, scalable and sustainable, service-oriented manufacturing systems and resources. Combining recently emerged technologies, such as Internet of Things, Cloud Computing, Semantic Web, service-oriented technologies, virtualisation and advanced high-performance computing technologies, with advanced manufacturing models and information technologies, Cloud Manufacturing is a new manufacturing paradigm built on resource sharing, supporting and driving this change.It is envisioned that companies in all sectors of manufacturing will be able to package their resources and know-hows in the Cloud, making them conveniently available for others through pay-as-you-go, which is also timely and economically attractive. Resources, e.g. manufacturing software tools, applications, knowledge and fabrication capabilities and equipment, will then be made accessible to presumptive consumers on a worldwide basis.Cloud Manufacturing has been in focus for a great deal of research interest and suggested applications during recent years, by both industrial and academic communities. After surveying a vast array of available publications, this paper presents an up-to-date literature review together with identified outstanding research issues, and future trends and directions within Cloud Manufacturing.

A stable solution-processed polymer semiconductor with record high-mobility for printed transistors

Microelectronic circuits/arrays produced via high-speed printing instead of traditional photolithographic processes offer an appealing approach to creating the long-sought after, low-cost, large-area flexible electronics. Foremost among critical enablers to propel this paradigm shift in manufacturing is a stable, solution-processable, high-performance semiconductor for printing functionally capable thin-film transistors — fundamental building blocks of microelectronics. We report herein the processing and optimisation of solution-processable polymer semiconductors for thin-film transistors, demonstrating very high field-effect mobility, high on/off ratio, and excellent shelf-life and operating stabilities under ambient conditions. Exceptionally high-gain inverters and functional ring oscillator devices on flexible substrates have been demonstrated. This optimised polymer semiconductor represents a significant progress in semiconductor development, dispelling prevalent skepticism surrounding practical usability of organic semiconductors for high-performance microelectronic devices, opening up application opportunities hitherto functionally or economically inaccessible with silicon technologies, and providing an excellent structural framework for fundamental studies of charge transport in organic systems.

Microfactories -A New Methodology for Sustainable Manufacturing-

The microfactory concept advocates miniaturizing production equipment and systems to match product dimensions. This offers advantages environmentally by minimizing the physical factory footprint, economically by cutting investment and running costs, technically by refining machinery specifications, and personnel-wise by minimizing the need for specialized skills. Introducing a paradigm shift in manufacturing, the microfactory arose in the early 1990s, and has enjoyed significant advances through different sectors and diversified approaches targeting practical manufacturing applications. This paper discusses the microfactory concept and significance, its history, the range of potential applications, and some of the advances that have been made since the concept’s inception. It also suggests practices and applications in sustainable manufacturing for the future.

Business model for virtual manufacturing: a human-centred and eco-friendly approach

Under the critical and fast changing trend in global economy, a paradigm shift in manufacturing is predicted in the West as well as in the Far East. Large manufacturing firms are moving towards a globally integrated business model. There is also a growing emphasis on human-centred manufacturing and environment. Manufacturing firms are facing the challenges of ageing/emerging workforces with investment in organic knowledge and its management. Regulatory environmental drivers such as climate change, the depletion of natural resources and pollution caused by rampant industrial activity will shape the future of manufacturing. This paper proposes a generic business model for a human-centred and eco-friendly virtual manufacturing (VM) organisation that is based on the current trend in manufacturing in Japan, Europe and the USA. The proposed model also addresses the need for intense collaborative network for a variable-variety, variable-volume and manufacture-to-order situation with provisions for recycling and reverse logistics.

Reconfigurable manufacturing: A response to turbulent changes

In response to manufacturing paradigm shift, a reconfigurable manufacturing paradigm is proposed to nest the fragmented views of reconfigurability in various perspectives of manufacturing. Reconfigurable manufacturing paradigm is a manufacturing philosophy that smoothly manages reconfiguration of manufacturing systems and make manufacturing systems satisfactorily meet challenges of turbulently changing environments. The reconfigurability of manufacturing systems is discussed in five dimensions, including organization, process, product, equipment and information. It is argued that reconfigurability is the basic means for survivals and developments of manufacturing systems. And, companies with high reconfigurabilities will sharply outperform their rivals in the unpredictable environments.

Research Trend of Additive Manufacturing Technology

<p>Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.</p>