A review of IoT applications in healthcare

Neurocomputing, Год журнала: 2023, Номер 565, С. 127017 - 127017

Опубликована: Ноя. 9, 2023

Integrating Internet of Things (IoT) technologies in the healthcare industry represents a transformative shift with tangible benefits. This paper provides detailed examination IoT adoption healthcare, focusing on specific sensor types and communication methods. It underscores successful real-world applications, including remote patient monitoring, individualized treatment strategies, streamlined delivery. Furthermore, it delves into intricate challenges to realizing full potential healthcare. includes addressing data security concerns, ensuring seamless interoperability, optimizing use IoT-generated data. The seeks inspire practitioners researchers by highlighting practical implications emphasizing ways can enhance care, resource allocation, overall efficiency.

Язык: Английский

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Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments

Sustainability, Год журнала: 2023, Номер 15(18), С. 13464 - 13464

Опубликована: Сен. 8, 2023

This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0 into design and construction intelligent, environmentally friendly, long-lasting structures. statement highlights need to shift away current methods seen in 5.0 effectively respond increasing requirement for creative sustainable infrastructures. Modern building techniques have been made more efficient because 6.0’s cutting-edge equipment, digitalization, ecologically concerned methods. The academic community has thoroughly dissected many benefits 5.0. Examples are increased stakeholder involvement, automation, robotics optimization, decision structures based on data, careful resource management. However, difficulties implementing principles laid bare this research. It calls skilled experts who latest technologies, coordinate technical expertise stakeholders, orchestrate interoperable standards, strengthen cybersecurity procedures. study evaluates how well can create smart, long-lasting, sound goal is specify these may revolutionize industry. In addition, research provides an in-depth analysis industry might best adopt 6.0, underscoring sector-wide significance paradigm change. analyzes about big data analytics, IoT, collaborative robotics. To better understand potential pitfalls buildings, examines interaction between organizational dynamics, human actors, robotic systems.

Язык: Английский

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The changing landscape of digital transformation in supply chains: impacts of industry 4.0 in Vietnam

The International Journal of Logistics Management, Год журнала: 2023, Номер 35(4), С. 1040 - 1072

Опубликована: Июнь 9, 2023

Purpose The purpose of the article is to contribute body research on digital transformation among members supply chain operating in an emerging economy. This paper researches trends happening across Vietnamese chains, by investigating current adoption rates, predicted impact levels and financial investments being made key Industry 4.0 technologies. Design/methodology/approach By using a semi-structured online survey, experiences 281 professionals Vietnam were captured. Subsequently, statistical techniques examining variances means, regression analysis Monte Carlo simulation applied. Findings findings this study offer comprehensive understanding technology Vietnam, highlighting prevalent technologies prioritized. Big data analytics Internet things are expected have most substantial businesses over next 5–10 years received investment. Conversely, Blockchain perceived as having less potential for future further identifies several technological synergies, such combining advanced robotics, artificial intelligence build effective flexible factories, that can lead more solutions. It also extends diffusion innovation theory, encompassing investment considerations. Originality/value offers valuable insights into firms. provides theoretical contribution via extension theory contributes toward better landscape developing economies. significant implications managerial decision-making, impact, viability resourcing needs when undertaking transformation.

Язык: Английский

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Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability

Asia-Pacific Journal of Business Administration, Год журнала: 2024, Номер unknown

Опубликована: Май 4, 2024

Purpose The study seeks to understand the possible opportunities that Industry 5.0 might offer for various aspects of inclusive sustainability. aims discuss existing perspectives on classification technologies and their underlying role in materializing sustainability values this agenda. Design/methodology/approach systematically reviewed literature based PRISMA protocol. further employed a detailed content-centric review eligible documents conducted evidence mapping fulfill research objectives. Findings advancement is currently underway, with noteworthy initial contributions enriching its knowledge base. Although unanimous definition remains lacking, diverse viewpoints emerge concerning recognition fundamental potential yielding sustainable outcomes. expected contribution varies significantly depending context nature technologies. Practical implications holds advancing at both firm supply chain levels. It envisioned contribute proportionately three dimensions. However, current discourse primarily dwells theoretical conceptual domains, lacking empirical exploration practical implications. Originality/value This comprehensively explores economic, environmental social Despite promise, supporting effectiveness limited. Certain conditions are necessary realize benefits fully, yet mechanisms behind these require investigation. In regard, suggests several areas future research.

Язык: Английский

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Machine Vision—Moving from Industry 4.0 to Industry 5.0

Applied Sciences, Год журнала: 2024, Номер 14(4), С. 1471 - 1471

Опубликована: Фев. 11, 2024

The Fourth Industrial Revolution combined with the advent of artificial intelligence brought significant changes to humans’ daily lives. Extended research in field has aided both documenting and presenting these changes, giving a more general picture this new era. This work reviews application scientific literature on presence machine vision it each sector which contributed, determining exact extent its influence. Accordingly, an attempt is made present overview use Fifth identify between two consequent periods. uses PRISMA methodology follows form Scoping Review using sources from Scopus Google Scholar. Most publications reveal emergence almost every human life influence performance results. Undoubtedly, review highlights great offer many sectors, establishing searching for ways it. It also proven that systems can help industries gain competitive advantage terms better product quality, higher customer satisfaction, improved productivity.

Язык: Английский

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Driving Manufacturing Companies toward Industry 5.0: A Strategic Framework for Process Technological Sustainability Assessment (P-TSA)

Sustainability, Год журнала: 2024, Номер 16(2), С. 695 - 695

Опубликована: Янв. 12, 2024

This study explores the complex nexus between technological innovation, Industry 4.0′s transformative paradigm, and emerging concept of 5.0, highlighting critical role integrating sustainability into factories to enhance organizational competitiveness. In this context, confusion arises terms “sustainable technologies” “technological sustainability” due two factors: misuse as synonyms misattribution conceptual meaning each term. To clarify ambiguity, validates a framework for by examining processes ceramic manufacturing company. assessment highlights potential its associated measurement model facilitate transition from 4.0 5.0. research provides fundamental insights serves guide future empirical efforts aimed at achieving balanced sustainable integration technology practices.

Язык: Английский

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How will the digital twin shape the future of industry 5.0?

Technovation, Год журнала: 2024, Номер 134, С. 103025 - 103025

Опубликована: Май 3, 2024

Industry 5.0 is on the horizon, but role of digital twins (DTs) as one its major technological enablers far from being understood. This article begins with a bibliometric analysis and systematic review, followed by discussion insights obtained literature through lens strong structuration theory. The results include description new paradigm future-oriented responsible physical-digital convergence, research agenda, proposal structure – agency (SA)–DT framework to guide advances in twins. A concept-centric used identify use cases, impacts, redesigned forms physical–digital interaction, challenges, changes both human non-human agents increasingly intertwined more advanced DT solutions. Moreover, this study reveals how can be deployed address, an integrated manner, three main pillars 5.0: human-centric, sustainable, resilient industry transformation. Practitioners may find our contribution helpful for their roadmaps, which require ample interaction society at all levels evidence practices current future generations.

Язык: Английский

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Advancing sustainable manufacturing: a systematic exploration of Industry 5.0 supply chains for sustainability, human-centricity, and resilience

Production Planning & Control, Год журнала: 2024, Номер unknown, С. 1 - 30

Опубликована: Июль 23, 2024

The emergence of Industry 5.0 provides new perspectives for the manufacturing sector, aiming to create sustainable, human-centric, and resilient approaches. Supply chains perform a vital role in realising these objectives by connecting suppliers customers providing value-added products services. However, despite growing interest, consideration this paradigm shift industry remains amorphous. In order address gap, paper presents systematic literature review 103 research articles from an initial corpus 8,079 proposes conceptual framework Chain within sector. is scaffolded on thematic analysis literature, including drivers transition, impacts supply chains, challenges, outcomes. This study valuable insights researchers, practitioners, policymakers seeking examine implications highlighting its potential enhance sustainability, social well-being, economic growth. Furthermore, proposed opportunities serve guide future practical applications around emerging topic.

Язык: Английский

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Printing the Future Layer by Layer: A Comprehensive Exploration of Additive Manufacturing in the Era of Industry 4.0

Applied Sciences, Год журнала: 2024, Номер 14(21), С. 9919 - 9919

Опубликована: Окт. 30, 2024

In the era of Industry 4.0, 3D printing, or additive manufacturing (AM), has revolutionized product design and across various sectors. This review explores evolution printing technology its impact on industrial innovation, highlighting advancements in aeronautics, automotive industry, biomedicine. Various AM processes, such as binder jetting, direct energy deposition, powder bed fusion, materials like metals, polymers, ceramics, composites, are discussed. Innovations high-speed sintering, continuous liquid interface production, bioprinting demonstrate ongoing advancements. The potential personalized medical applications is emphasized due to flexibility geometry materials. Despite progress, challenges standardization, material quality, recycling, sustainability, economic feasibility hinder widespread adoption. Overcoming these crucial for optimizing technologies, ensuring high-quality, efficient, affordable production. also addresses future prospects 4D 5D technologies their industries. overview underscores printing’s role shaping within context 5.0, emphasizing human–machine collaboration sustainability.

Язык: Английский

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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities

Energies, Год журнала: 2025, Номер 18(2), С. 407 - 407

Опубликована: Янв. 18, 2025

Advanced deep learning algorithms play a key role in optimizing energy usage smart cities, leveraging massive datasets to increase efficiency and sustainability. These analyze real-time data from sensors IoT devices predict demand, enabling dynamic load balancing reducing waste. Reinforcement models optimize power distribution by historical patterns adapting changes real time. Convolutional neural networks (CNNs) recurrent (RNNs) facilitate detailed analysis of spatial temporal better usage. Generative adversarial (GANs) are used simulate scenarios, supporting strategic planning anomaly detection. Federated ensures privacy-preserving sharing distributed systems, promoting collaboration without compromising security. technologies driving the transformation towards sustainable energy-efficient urban environments, meeting growing demands modern cities. However, there is view that if pace development maintained with large amounts data, computational/energy costs may exceed benefits. The article aims conduct comparative assess potential this group technologies, taking into account efficiency.

Язык: Английский

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