The applications of Internet of Things (IoT) in industrial management: a science mapping review

International Journal of Production Research, Год журнала: 2023, Номер 62(5), С. 1928 - 1952

Опубликована: Дек. 26, 2023

With the rise of Internet Things (IoT) technology, seamless connection between physical and digital worlds has been realized. This review paper aims to conduct a science mapping IoT applications in industrial management identify mainstream research topics, gaps, future directions. Using VOSviewer as visualization tool, 142 articles retrieved from Scopus database were quantitatively discussed using scientometric analysis. Additionally, follow-up qualitative discussion was focused on existing directions main goals. The results revealed influential findings for co-occurrence keywords, journals, countries, authors, documents analyses. Moreover, it found that mainly four topics including (1) application manufacturing based cyber-physical systems, (2) IoT-related technologies logistics supply chain management, (3) impact business models, (4) Industrial (IIoT) context Industry 4.0. On this basis, gaps are proposed. would help relevant practitioners researchers better understand body knowledge lay foundation further research.

Язык: Английский

---

Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(1)

Опубликована: Янв. 1, 2024

Abstract To enhance the resilience of food systems to safety risks, it is vitally important for national authorities and international organizations be able identify emerging risks provide early warning signals in a timely manner. This review provides an overview existing experimental applications artificial intelligence (AI), big data, internet things as part risk identification tools methods domain. There ongoing rapid development fed by numerous, real‐time, diverse data with aim risks. The suitability AI support such illustrated two cases which climate change drives emergence namely, harmful algal blooms affecting seafood fungal growth mycotoxin formation crops. Automation machine learning are crucial future real‐time systems. Although these developments increase feasibility effectiveness prospective tools, their implementation may prove challenging, particularly low‐ middle‐income countries due low connectivity availability. It advocated overcome challenges improving capability capacity authorities, well enhancing collaboration private sector organizations.

Язык: Английский

---

Exploring the Impact of AI on The EFL Context: A Case Study of Saudi Universities

Journal of Intercultural Communication, Год журнала: 2023, Номер unknown, С. 41 - 49

Опубликована: Июнь 5, 2023

This research aims to determine whether or not it is possible use artificial intelligence (AI) in English for speakers of other languages (ESOL) courses and review previous pertinent EFL/ESL instruction present a comprehensive picture the current degree instruction. Utilization intelligent teaching systems, self-regulated learning, virtual reality, immersive environment, natural language processing as foreign classroom. The study adopted questionnaire tool data collection then was analyzed discussed reach results. results showed that ethical responsibility making most effective AI classroom now falls on both educators students themselves. article also concludes positively impacts field (ELT) learning; however, needs be better integrated into educational settings. Teachers need more aware new applications tools have flooded recent years. conclusion reached context article.

Язык: Английский

---

Emerging Technologies for 6G Communication Networks: Machine Learning Approaches

Sensors, Год журнала: 2023, Номер 23(18), С. 7709 - 7709

Опубликована: Сен. 6, 2023

The fifth generation achieved tremendous success, which brings high hopes for the next generation, as evidenced by sixth (6G) key performance indicators, include ultra-reliable low latency communication (URLLC), extremely data rate, energy and spectral efficiency, ultra-dense connectivity, integrated sensing communication, secure communication. Emerging technologies such intelligent reflecting surface (IRS), unmanned aerial vehicles (UAVs), non-orthogonal multiple access (NOMA), others have ability to provide communications massive users, overhead, computational complexity. This will address concerns over outrageous 6G requirements. However, optimizing system functionality with these new was found be hard conventional mathematical solutions. Therefore, using ML algorithm its derivatives could right solution. present study aims offer a thorough organized overview of various machine learning (ML), deep (DL), reinforcement (RL) algorithms concerning emerging technologies. is motivated fact that there lack research on significance in this specific context. examines potential their align visions requirements network. It crucial ushering era marked substantial advancements requires grand improvement. highlights challenges wireless networks suggests insights into possible Finally, survey concludes integrating Ml play vital role developing networks.

Язык: Английский

---

An Analysis of Fuzzy Group Decision Making to Adopt Emerging Technologies for Fashion Supply Chain Risk Management

IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 8469 - 8487

Опубликована: Янв. 1, 2024

The dynamic and volatile nature of fashion supply chains has drawn increasing attention from academia the corporate sector. Fashion products, characterized by short lifecycles, impulse buying an unpredictable demand, necessitate that chain (FSC) partners rapidly offer on-trend products to capture real-time demand in shortest time window. To achieve this, FSC must embrace technological innovations, collaborate, establish partnering relations, share information. Failure do so will result obsolete inventory financial markdowns. This study focuses on identifying risk categories FSC, such as Social, Environmental, Economic, Operational, Reputational, Market, Product, Disruption, Complexity, Workforce, along with relevant mitigation strategies. A survey questionnaire was distributed six companies UK, employing Fuzzy Group Analytical Hierarchy Process (FAHP) for pairwise comparisons assess importance each category. Modes Effect Analysis (FFMEA) used analyze impact strategy factors. supports extant empirical research resource sharing is effective management. participants believe designing resilient, flexible, agile, responsive systems increased levels communication information help emerging innovative technologies are more robust strategies evaluated role management, confirming ICT Artificial Intelligence most managing potential risks industry.

Язык: Английский

---

Interconnectedness between Supply Chain Resilience, Industry 4.0, and Investment

Logistics, Год журнала: 2023, Номер 7(3), С. 50 - 50

Опубликована: Авг. 9, 2023

Background: As industry and society move towards the second decade of deluge advanced technologies Industry 4.0 (I4.0) age, introduced circa 2012, it is evident that global economy continues to grapple with a plethora ever-intensifying disruptions vulnerabilities inflict unexpected uncontrolled damages on multiple organizational processes. These circumstances demand significant paradigm shifts, placing supply chain resilience (SCR) in foreground boardrooms agendas executive meetings. Method: This paper presents bibliometric analysis selected articles examine intricate interplay I4.0 SCR under investment constraints. Employing funnel approach, this study delves deeper into about hundred papers were initially from pool approximately four thousand publications SCR. The thoroughly analyzes interconnection between SCR, I4.0, (INV) while classifying these structured manner, based type focus. Results: primary aim identify trends, gaps, potential opportunities for future research SCR-I4.0-INV interplays. Conclusions: findings reveal industries are converging implementation digital as strategic tackle unexpected, unplanned, undesired situations. illuminates needs organizations prioritize face highlighting enhance their resilience, therefore ensuring sustainable growth.

Язык: Английский

---

The ChatGPT effect on AI-themed cryptocurrencies

Economics and Business Letters, Год журнала: 2024, Номер 13(1), С. 29 - 38

Опубликована: Янв. 20, 2024

ChatGPT is an artificial intelligence (AI) chatbot that provides users with detailed responses and accurate answers to any questions. It has garnered significant attention after its launch in November 2022. We analyze the returns of AI-themed crypto assets around widespread towards ChatGPT. reveal abnormal for AI tokens ChatGPT, up 41% over course two weeks. Moreover, 90% exhibit positive returns. This suggests general transitioned cryptocurrency markets, resulting price effects AI-related cryptocurrencies.

Язык: Английский

---

Evaluación bibliométrica de la investigación sobre Tecnologías Habilitadoras para la Transformación Digital en Cuba

Telos Revista de Estudios Interdisciplinarios en Ciencias Sociales, Год журнала: 2025, Номер 27(1), С. 313 - 334

Опубликована: Янв. 15, 2025

An investigation was carried out with the objective of identifying trends Cuban scientific production on some Enabling Technologies for Digital Transformation (THD) in Cuba indexed Scopus period 1997-2022 and analyzing behavior based bibliometric indicators such as: intellectual structure, conceptual social them. It from combination said techniques to obtain features their practices specialized community. Among results, it found that annual evolution showed a linear growth both documents number citations received, mainly foreign journals core area topic addressed. There coincidence prominent author co-citation network leader one collaborative networks. The most referenced sources were: Lecture Notes Computer Science, Information Sciences Neurocomputing. participation universities collaborations Spain Belgium predominated. were themes artificial intelligence, machine learning, learning systems, human computer interaction data mining related health. study highlighted importance contextualizing indicators. In addition, allowed us compare shown by respect international context. Final ideas are offered future lines research results found.

Язык: Английский

---

Industrializable industrial internet of things ( I 3 oT ) for a massive implementation of industry 4.0 applications: a press shop case example

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Янв. 21, 2025

Язык: Английский

---

Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision

International Journal of Production Research, Год журнала: 2023, Номер 62(9), С. 3193 - 3211

Опубликована: Июль 3, 2023

Modern manufacturing is the world's largest and most automated industrial sector. The rise of Industry 4.0 technologies such as Big Data, Internet Things (IoT) devices, Machine Learning has enabled a better connection with machines factory systems. Data harvesting allowed for more seamless comprehensive implementation knowledge-based decision-making process. New models that provide competitive edge must be created by combining Lean paradigm new 4.0. This paper presents novel computer-based vision detection classification damaged packages from intact packages. In high-volume production environments, package manual inspection process through human eye consumes inordinate amounts time poring over physical Our proposed three different approaches detect to prevent them moving shipping operations would otherwise incur waste in form wasted operating hours, resources lost customer satisfaction. were carried out on data set consisting images achieved high precision, accuracy, recall values during training validation stage, resultant trained YOLO v7 model.

Язык: Английский

---