Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research paper explores the transformative possibilities arising from integration of ChatGPT, an advanced language model, into domain intelligent manufacturing. In face rapid changes in manufacturing landscape, there is increasing demand for adaptive and systems to elevate efficiency, productivity, decision-making processes. study investigates incorporation ChatGPT's or Bard cutting-edge natural processing capabilities various forefront aspects establish a novel paradigm The ChatGPT processes presents versatile approach tackle challenges seize opportunities within modern production systems. A pivotal aspect this lies augmenting human-machine collaboration factory. understanding facilitates seamless communication between human operators automated systems, fostering more intuitive responsive environment. Additionally, delves utilization predictive maintenance facilities. Through analysis historical data real-time information, can provide insights potential equipment failures, enabling proactive strategies that mitigate downtime optimize resource utilization. also application supply chain management. model's capacity process vast amounts textual contributes improved forecasting, inventory optimization, risk results resilient agile ecosystem capable adapting dynamic market conditions. Furthermore, role quality control defect detection. model analyze intricate patterns data, identifying anomalies defects with high degree accuracy. Integrating assurance ensures higher product quality, reducing waste, enhancing overall customer satisfaction. findings highlight revolutionize processes, propelling industry towards greater adaptability, competitiveness rapidly evolving global market.

Language: Английский

Artificial intelligence (AI) applications for marketing: A literature-based study DOI Creative Commons
Abid Haleem, Mohd Javaid, Mohammad Asim Qadri

et al.

International Journal of Intelligent Networks, Journal Year: 2022, Volume and Issue: 3, P. 119 - 132

Published: Jan. 1, 2022

Artificial Intelligence (AI) has vast potential in marketing. It aids proliferating information and data sources, improving software's management capabilities, designing intricate advanced algorithms. AI is changing the way brands users interact with one another. The application of this technology highly dependent on nature website type business. Marketers can now focus more customer meet their needs real time. By using AI, they quickly determine what content to target customers which channel employ at moment, thanks collected generated by its Users feel ease are inclined buy offered when used personalise experiences. tools also be analyse performance a competitor's campaigns reveal customers' expectations. Machine Learning (ML) subset that allows computers interpret without being explicitly programmed. Furthermore, ML assists humans solving problems efficiently. algorithm learns improves accuracy as fed into algorithm. For research, relevant articles marketing identified from Scopus, Google scholar, researchGate other platforms. Then these were read, theme paper was developed. This attempts review role specific applications various segments transformations for sectors examined. Finally, critical recognised analysed.

Language: Английский

Citations

494
Blockchain—Internet of Things Applications: Opportunities and Challenges for Industry 4.0 and Society 5.0 DOI Creative Commons
Amit Kumar Tyagi, Sathian Dananjayan,

Deepshikha Agarwal

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(2), P. 947 - 947

Published: Jan. 13, 2023

Today, blockchain is becoming more popular in academia and industry because it a distributed, decentralised technology which changing many industries terms of security, building trust, etc. A few applications are banking, insurance, logistics, transportation, Many insurance companies have been thinking about how could help them be efficient. There still lot hype this immutable technology, even though has not utilised to its full potential. Insurers decide whether or use blockchain, just like other businesses do. This keeps distributed ledger on each node, making secure transparent. The network can operate smart contracts convince others agree, so criminals cannot make mistakes. On another side, the Internet Things (IoT) might real-time application work faster through automation. With integration IoT, there will always problem with regarding IoT devices mining blockchain. paper gives view blockchain-IoT-based for Industry 4.0 Society 5.0. last sections discuss essential topics such as open issues, challenges, research opportunities future researchers expand applications.

Language: Английский

Citations

139
Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions DOI Creative Commons
Yogesh K. Dwivedi, Anuj Sharma, Nripendra P. Rana

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122579 - 122579

Published: April 21, 2023

Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With proliferation digital computing devices emergence big data, AI increasingly offering significant opportunities for society business organizations. The growing interest scholars practitioners in has resulted diversity research topics explored bulks scholarly literature published leading outlets. This study aims map intellectual structure evolution conceptual overall Technological Forecasting Social Change (TF&SC). uses machine learning-based structural topic modeling (STM) extract, report, visualize latent from literature. Further, disciplinary patterns examined with additional objective assessing impact AI. results reveal eight key topics, out which concerning healthcare, circular economy sustainable supply chain, adoption by consumers, decision-making showing rising trend over years. influence on disciplines such as management, accounting, social science, engineering, computer mathematics. provides an insightful agenda future based evidence-based directions would benefit identify contemporary issues develop impactful solve complex societal problems.

Language: Английский

Citations

128
Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility DOI
Samuel Fosso Wamba

International Journal of Information Management, Journal Year: 2022, Volume and Issue: 67, P. 102544 - 102544

Published: July 23, 2022

Language: Английский

Citations

117
Food quality 4.0: From traditional approaches to digitalized automated analysis DOI
Abdo Hassoun,

Sandeep Jagtap,

Guillermo Garcia‐Garcia

et al.

Journal of Food Engineering, Journal Year: 2022, Volume and Issue: 337, P. 111216 - 111216

Published: Aug. 1, 2022

Language: Английский

Citations

116
Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing DOI Creative Commons
George Lăzăroiu, Armenia Androniceanu, Iulia Grecu

et al.

Oeconomia Copernicana, Journal Year: 2022, Volume and Issue: 13(4), P. 1047 - 1080

Published: Dec. 30, 2022

Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels the manufacturing enterprises, there is an instrumental need for comprehending how systems can provide increased value and precision in complex operational processes. Purpose article: In this research, prior findings were cumulated proving that integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial creation, digitized mass production. Methods: Throughout April June 2022, by employing Preferred Reporting Items Systematic Reviews Meta-analysis (PRISMA) guidelines, a quantitative literature review ProQuest, Scopus, Web Science databases was performed, with search terms including ?cognitive Industrial Internet Things?, automation?, systems?, ?cognitively-enhanced machine?, technology-driven computing technologies,? technologies.? The Review Data Repository (SRDR) leveraged, software program collecting, processing, analysis our research. quality selected scholarly sources evaluated harnessing Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing Methodological Quality Reviews) deployed intelligence intelligent workflows, Dedoose used mixed methods VOSviewer layout algorithms Dimensions bibliometric mapping served as visualization tools. Findings & added: Cognitive developed on product lifecycle management, Things-based production logistics, deep learning-assisted smart process planning, optimizing creation capabilities algorithms. Subsequent interest should be oriented to predictive maintenance assist use

Language: Английский

Citations

89
Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions DOI Creative Commons
Pervaiz Akhtar, Arsalan Mujahid Ghouri, Haseeb Ur Rehman Khan

et al.

Annals of Operations Research, Journal Year: 2022, Volume and Issue: 327(2), P. 633 - 657

Published: Nov. 1, 2022

Abstract Fake news and disinformation (FNaD) are increasingly being circulated through various online social networking platforms, causing widespread disruptions influencing decision-making perceptions. Despite the growing importance of detecting fake in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) machine learning (ML) oriented FNaD detection models suited minimize supply chain (SCDs). Using a combination AI ML, case studies based on data collected from Indonesia, Malaysia, Pakistan, we developed model aimed at preventing SCDs. This multiple sources has shown evidence its effectiveness managerial decision-making. Our study further contributes AI-ML literature, provides practical insights, points future directions.

Language: Английский

Citations

87
Plant development and crop protection using phytonanotechnology: A new window for sustainable agriculture DOI
Sakshi Agrawal, Vineet Kumar, Sunil Kumar

et al.

Chemosphere, Journal Year: 2022, Volume and Issue: 299, P. 134465 - 134465

Published: March 30, 2022

Language: Английский

Citations

74
A new method of patent analysis to support prospective life cycle assessment of eco-design solutions DOI
Christian Spreafico, Daniele Landi, Davide Russo

et al.

Sustainable Production and Consumption, Journal Year: 2023, Volume and Issue: 38, P. 241 - 251

Published: April 23, 2023

Language: Английский

Citations

72
A systematic review of the application of immersive technologies for safety and health management in the construction sector DOI Creative Commons
Akinloluwa Babalola, Patrick Manu, Clara Cheung

et al.

Journal of Safety Research, Journal Year: 2023, Volume and Issue: 85, P. 66 - 85

Published: Jan. 31, 2023

The construction industry employs about 7% of global manpower and contributes 6% to the economy. However, statistics have depicted that significantly workplace fatalities injuries despite multiple interventions (including technological applications) implemented by governments companies. Recently, immersive technologies as part a suite 4.0 technologies, also strongly emerged viable pathway help address poor occupational safety health (OSH) performance.With aim gaining broad view different OSH issues addressed using review on application for management is conducted preferred reporting items systematic reviews meta-analysis (PRISMA) approach bibliometric analysis literature. This resulted in evaluation 117 relevant papers collected from three online databases (Scopus, Web Science, Engineering Village).The revealed literature focused various hazard identification visualization, training, design safety, risk perception, assessment works. identified several limitations regarding use which include low level adoption developed industry, very limited research hazards, focus comparison effectiveness management.For future research, it recommended identify possible reasons transition practice proffer solutions issues. Another recommendation study addressing hazards conventional methods.

Language: Английский

Citations

64