Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 101762 - 101762
Published: Feb. 1, 2025
Language: Английский
Internet of Things and Cyber-Physical Systems, Journal Year: 2023, Volume and Issue: 3, P. 192 - 204
Published: Jan. 1, 2023
The Internet of Things (IoT) is playing a significant role in the transformation traditional factories into smart Industry 4.0 by using network interconnected devices, sensors, and software to monitor optimize production process. Predictive maintenance IoT can also be used prevent machine failures, reduce downtime, extend lifespan equipment. To energy usage during part manufacturing, manufacturers obtain real-time insights consumption patterns deploying sensors factories. Also, provide more comprehensive view factory environment enhance workplace safety identifying potential hazards alerting workers dangers. Suppliers use IoT-enabled tracking devices shipments updates on delivery times locations order analyze supply chain Moreover, powerful technology which inventory management costs, improve efficiency, visibility levels movements. impact internet thing industry 4.0, review presented. Applications things such as predictive maintenance, asset tracking, management, quality control, process monitoring, efficiency optimization are reviewed. Thus, analyzing application new ideas advanced methodologies provided control processes.
Language: Английский
Citations
251
Sustainable Manufacturing and Service Economics, Journal Year: 2023, Volume and Issue: 2, P. 100017 - 100017
Published: April 1, 2023
A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the twin, production teams examine various data sources number defective items to decrease industrial downtime. Digital Twin be utilized visualize asset, track changes, understand optimize asset performance throughout analysis lifecycle. Also, collected from provide complete lifecycle products processes workflows part production, manage supply chain, quality. The application smart time market by designing evaluating environments before manufacture. Comprehensive simulation platforms presented using twins simulate evaluate performances terms modification produced parts. Commissioning factory also significantly reduced developing optimizing layout twin. productivity enhanced providing predictive maintenance data-driven root-cause during In this paper, systems reviewed analyze discuss advantages challenges So, research field advance reading previous papers order propose fresh concepts approaches systems.
Language: Английский
Citations
119
Artificial Intelligence in Medicine, Journal Year: 2024, Volume and Issue: 151, P. 102861 - 102861
Published: March 30, 2024
Language: Английский
Citations
73
Big Data and Cognitive Computing, Journal Year: 2023, Volume and Issue: 7(3), P. 147 - 147
Published: Aug. 30, 2023
The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy medicine is promising, with the potential to revolutionize various aspects health care. These advances aim increase efficiency, improve patient outcomes, reduce costs while addressing pressing challenges such as personalized need for more effective therapies. This review examines major robotics AI pharmaceutical medical fields, analyzing advantages, obstacles, implications In addition, prominent organizations research institutions leading way these technological advancements are highlighted, showcasing their pioneering efforts creating utilizing state-of-the-art solutions medicine. By thoroughly current state care exploring possibilities further progress, this work aims provide readers a comprehensive understanding transformative power evolution healthcare sector. Striking balance between embracing technology preserving human touch, investing R&D, establishing regulatory frameworks within ethical guidelines will shape systems. seamless integration systems benefit patients providers.
Language: Английский
Citations
57
Cognitive Robotics, Journal Year: 2023, Volume and Issue: 3, P. 142 - 157
Published: Jan. 1, 2023
Optimization of energy consumption in industrial robots can reduce operating costs, improve performance and increase the lifespan robot during part manufacturing. Choosing energy-efficient components such as motors, drives, controllers significantly robots. Over-sized motors heavy arms waste decrease efficiency By optimizing programs reducing idle time operations, amount spent be reduced to minimize using consumed by reduced. Also, regular maintenance providing maximum for robot's components. implementing management systems, monitored analyzed optimize working conditions. To lost reuse usage times, regenerative braking used The process manufacturing optimized order movements times analyze schedules robots, different methodologies from recent published papers are reviewed study. Proper selection, motor low wight arms, efficient programming schedules, system, elements production regarding minimization discussed As a result, future research works field presented consumption, operational sustainability operations terms productivity enhancement
Language: Английский
Citations
55
Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13464 - 13464
Published: Sept. 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.
Language: Английский
Citations
49
Data Science and Management, Journal Year: 2023, Volume and Issue: 7(1), P. 47 - 63
Published: Nov. 1, 2023
Virtual manufacturing is one of the key components Industry 4.0, fourth industrial revolution, in improving processes. enables manufacturers to optimize their production processes using real-time data from sensors and other connected devices 4.0. Web-based virtual platforms are a critical component enabling design, test, collaboratively efficiently. In radio frequency identification (RFID) technology used provide visibility control supply chain as well enable automation various Big analytics can be conjunction with valuable insights Artificial intelligence (AI) have potential enhance effectiveness, consistency, adaptability processes, resulting faster cycles, better-quality products, lower prices. Recent developments application systems digital different perspectives, such Internet Things, big analytics, additive manufacturing, autonomous robots, cybersecurity, RFID discussed this study analyze develop part process The limitations advantages 4.0 discussed, future research projects also proposed. Thus, productivity enhanced by reviewing analyzing applications
Language: Английский
Citations
48
Electronics, Journal Year: 2024, Volume and Issue: 13(3), P. 542 - 542
Published: Jan. 29, 2024
Intelligent robotics has the potential to revolutionize various industries by amplifying output, streamlining operations, and enriching customer interactions. This systematic literature review aims analyze emerging technologies trends in intelligent robotics, addressing key research questions, identifying challenges opportunities, proposing best practices for responsible beneficial integration into sectors. Our uncovers significant improvements brought across such as manufacturing, logistics, tourism, agriculture, healthcare, construction. The main results indicate importance of focusing on human–robot collaboration, ethical considerations, sustainable practices, industry-specific harness opportunities presented fully. implications future directions involve both risks, maximizing benefits, ensuring implementation. continuous improvement refinement existing technology will shape human life industries, driving innovation advancements robotics.
Language: Английский
Citations
48
Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 179 - 196
Published: Nov. 1, 2023
Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired by the structure and function human brain. In context supply chain management, ANNs can be used for demand forecasting, inventory optimization, logistics planning, anomaly detection. help companies to optimize their levels, production schedules procurement activities in terms productivity enhancement part production. By considering multiple variables constraints, identify most efficient routes, allocate resources effectively, reduce costs. Furthermore, anomalies as well abnormalities data, such unexpected patterns, quality issues disruptions operations order minimize impact on chain. also analyze supplier performance including quality, delivery times pricing assess reliability effectiveness suppliers. This information support decision-making processes evaluation selection processes. Moreover, continuously monitor performance, raising alerts deviations from predefined criteria provide safe secure analyzing various data sources, weather conditions, political instability, mitigate risks safety neural networks management is studied research work enhance performances process manufacturing. New ideas concepts future works presented reviewing recent achievements applications artificial management. Thus, manufacturing enhanced promoting using networks.
Language: Английский
Citations
43
Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109409 - 109409
Published: June 29, 2024
Artificial intelligence (AI) holds significant promise for advancing natural disaster management through the use of predictive models that analyze extensive datasets, identify patterns, and forecast potential disasters. These facilitate proactive measures such as early warning systems (EWSs), evacuation planning, resource allocation, addressing substantial challenges associated with This study offers a comprehensive exploration trustworthy AI applications in disasters, encompassing management, risk assessment, prediction. research is underpinned by an review reputable sources, including Science Direct (SD), Scopus, IEEE Xplore (IEEE), Web (WoS). Three queries were formulated to retrieve 981 papers from earliest documented scientific production until February 2024. After meticulous screening, deduplication, application inclusion exclusion criteria, 108 studies included quantitative synthesis. provides specific taxonomy disasters explores motivations, challenges, recommendations, limitations recent advancements. It also overview techniques developments using explainable artificial (XAI), data fusion, mining, machine learning (ML), deep (DL), fuzzy logic, multicriteria decision-making (MCDM). systematic contribution addresses seven open issues critical solutions essential insights, laying groundwork various future works trustworthiness AI-based management. Despite benefits, persist In these contexts, this identifies several unused used areas disaster-based theory, collects ML, DL techniques, valuable XAI approach unravel complex relationships dynamics involved utilization fusion processes related Finally, extensively analyzed ethical considerations, bias, consequences AI.
Language: Английский
Citations
42