☆ 4.5 Article

Exploring the Potential of Cyber Manufacturing System in the Digital Age

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2023)

Related references

Note: Only part of the references are listed.

Article Environmental Sciences

Reducing manufacturing carbon emissions: Optimal low carbon production strategies respect to product structures and batches

Jun Zheng et al.

Summary: This study proposes a strategy for selecting low carbon production methods for product structure and batch, aiming to improve resource management and carbon emission reduction in manufacturing processes. By analyzing the impact of product structure and batch on resource consumption and environmental impact, a carbon emission model is established. The study shows that 3D printing is more low carbon for small volumes in sand casting production, while traditional technology is more low carbon for large volumes.

SCIENCE OF THE TOTAL ENVIRONMENT (2023)

Add to Collection

Review Chemistry, Multidisciplinary

Metamodelling of Manufacturing Processes and Automation Workflows towards Designing and Operating Digital Twins

Panagiotis Stavropoulos et al.

Summary: The automation of workflows for the optimization of manufacturing processes through digital twins is achievable with the matured technologies of Industry 4.0. However, there is potential for further exploration of technologies like metamodelling languages. A framework utilizing an automation workflow knowledge database, technology classification, and metamodelling language is presented, highlighting its usefulness in creating digital twins for manufacturing processes while involving human input. Two process control paradigms are used to illustrate the applicability of the approach within the framework of certifiable human-in-the-loop process optimization.

APPLIED SCIENCES-BASEL (2023)

Add to Collection

Article Green & Sustainable Science & Technology

Federated learning for smart cities: A comprehensive survey

Sharnil Pandya et al.

Summary: With the emergence of new technologies such as AIoT, big data, fog computing, and edge computing, smart city applications face challenges related to the leakage of confidential and sensitive information. To address this, integrating federated learning (FL) with smart city applications can ensure privacy preservation and sensitive information protection. This paper provides an overview of current and future developments of FL for smart cities, highlighting the societal, industrial, and technological trends driving its implementation. It discusses the concept of FL for smart cities and explores various FL integrated smart city applications, including transportation, healthcare, governance, disaster management, industries, and UAV monitoring. The paper also outlines research challenges and prospects for FL's development in smart cities.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2023)

Add to Collection

Article Computer Science, Theory & Methods

Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions

Tian Wang et al.

Summary: Sensor-cloud, originating from wireless sensor networks and cloud computing, has been extensively studied in specific aspects such as security, management mechanisms, and architectural challenges. However, existing research lacks in addressing the urgent issues of reliability, energy, and heterogeneity in the sensor-cloud. To bridge this gap, this study conducts a thorough survey, providing an in-depth discussion on the origins and comprehensive analysis of these three key challenges.

ACM COMPUTING SURVEYS (2023)

Add to Collection

Article Computer Science, Theory & Methods

Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems

Ron Bitton et al.

Summary: This article comprehensively analyzes the threats to machine learning production systems, using the ontology presented by NIST for evaluating enterprise network security risk and applying it to ML-based systems. The analysis includes enumerating assets, describing the threat model, identifying threats, and reviewing attacks. A novel scoring system is introduced to quantify the risk posed by adversarial machine learning attacks. An extension to the MulVAL attack graph generation and analysis framework is developed to incorporate cyberattacks on ML production systems, providing security practitioners with a tool for evaluating and quantifying the impact of a cyberattack.

ACM COMPUTING SURVEYS (2023)

Add to Collection

Article Computer Science, Information Systems

Tolerance Analysis of Cyber-Manufacturing Systems to Cascading Failures

Xiuwen Fu et al.

Summary: In this study, a interdependent network model for cyber-manufacturing systems (CMS) is developed based on the perspective of physical-service networking. The proposed realistic cascading failure model takes into account the load distribution characteristics of the physical network and the service network. The experiments confirm that attacks on the physical network are more likely to trigger cascading failures and cause more damage, and interdependency failures are the main cause of performance degradation in the service network during cascading failures, while isolation failures are the main cause of performance degradation in the physical network during cascading failures.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2023)

Add to Collection

Article Computer Science, Information Systems

An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things

Amir Namavar Jahromi et al.

Summary: The Industrial Internet of Things (IIoT) is evolving rapidly and is widely used in critical infrastructure. However, the increasing number of IIoT devices also increases their vulnerability to cyber-attacks. This paper proposes an ensemble-based deep federated learning cyber-threat hunting model to hunt attack samples without sharing data. The model consists of two parallel components that analyze the IIoT status based on normal and threat situations, respectively.

COMPUTER COMMUNICATIONS (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

A blockchain-based interactive approach between digital twin-based manufacturing systems

Shimin Liu et al.

Summary: Cloud manufacturing provides a collaborative environment for digital twin-based manufacturing systems, but access to the enterprise cloud can lead to bandwidth competition and delays. To address this, a blockchain-based data exchange approach is proposed to enable peer-to-peer data exchange between digital twin-based systems. The manufacturing edge pool is developed for specific tasks, and the blockchain ensures effective and secure data exchange. This method reduces dependence on the enterprise cloud and improves workshop flexibility, as validated by a case study on an engine.

COMPUTERS & INDUSTRIAL ENGINEERING (2023)

Add to Collection

Article Psychology, Social

Big Five factor and facet personality determinants of conflict management styles

Jose A. Espinoza et al.

Summary: Previous research has focused on the relations between personality traits and conflict management styles. This study examines whether facets account for greater variance in conflict management styles than factors, and whether differences in facet-level predictors contribute to better differentiation between conflict management styles. The results show that facet models can explain approximately 1.5 times more variance compared to factor models, and there are distinct differences between conflict management styles at the facet-level that are not apparent when examining factors.

PERSONALITY AND INDIVIDUAL DIFFERENCES (2023)

Add to Collection

Article Engineering, Electrical & Electronic

A Path Towards an Internet of Things and Artificial Intelligence Regulatory Framework

Suada Hadzovic et al.

Summary: As technology continues to advance, it is important to keep up with emerging trends and establish the necessary conditions for its adoption as a human-centered technology. This includes setting rules and standards for the Internet of Things (IoT) and Artificial Intelligence (AI) to maximize their benefits and minimize misuse. The focus has shifted from IoT to AI, and many countries have already adopted national AI strategies. However, in developing countries, there is still a need for discussions on national AI strategies and regulatory frameworks for AI and IoT.

IEEE COMMUNICATIONS MAGAZINE (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

Ziqi Huang et al.

Summary: Digital twin (DT) and artificial intelligence (AI) technologies are essential for achieving sustainable resilient manufacturing in Industry 4.0. A novel modeling framework is proposed in this article to address the limitations of digital twins at the shopfloor level. The framework integrates AI techniques and machine tool expertise using aggregated data, contextualizes metadata sources from different stages of production, and incorporates prior knowledge to enhance modeling reliability in dynamic industrial circumstances. A hybrid learning-based digital twin is developed and tested, which enables learning uncertainties in real industrial environments and improves modeling reliability based on data quality and accessibility.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control

Qingwei Nie et al.

Summary: This paper proposes a multi-agent and cloud-edge orchestration framework for production control in the distributed manufacturing environment. Real-time status data of the distributed manufacturing resources are collected and processed to perform decision-making and manufacturing execution. The cloud production line model is established to support the optimal configuration of distributed idle manufacturing resources based on the generated data.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2023)

Add to Collection

Review Computer Science, Artificial Intelligence

A comprehensive review of robotic assembly line balancing problem

Parames Chutima

Summary: This review paper addresses the development and generalization of the research on the robotic assembly line balancing problem (RALBP) over time. The RALBP is classified and divided based on the types of layouts and the 4 M (Man, Machine, Material, and Method) concept. The main contributions of different articles are summarized chronologically in a table, and the research contribution precedence diagram illustrates the sequential order and linkage relationship among studies. Future research directions are pinpointed and discussed based on the findings of the review.

JOURNAL OF INTELLIGENT MANUFACTURING (2022)

Add to Collection

Review Management

A review of quality 4.0: definitions, features, technologies, applications, and challenges

Sami Sader et al.

Summary: Quality 4.0 is an extended approach to quality management integrating recent technologies with traditional practices, aiming to expand the scope of quality management and improve quality activities. This paper provides a comprehensive definition, features, technologies, and applications of Quality 4.0, while also highlighting challenges and future research topics in this area.

TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE (2022)

Add to Collection

Article Engineering, Industrial

Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society

Nnamdi Johnson Ogbuke et al.

Summary: This study provides a comprehensive review of big data supply chain analytics, highlighting its application in supply chain management and the benefits it brings to organizations and society. The study also addresses the ethical, security, privacy, and operational challenges of big data techniques and the potential impact on business reputation. The review identifies four main aspects of big data analytics, including its applications, ethical and privacy concerns, and how organizations utilize this emerging tool to predict and direct their operations. The findings emphasize the significant role of big data analytics in supporting responsive next-generation global companies operating in increasingly challenging and uncertain environments.

PRODUCTION PLANNING & CONTROL (2022)

Add to Collection

Review Computer Science, Theory & Methods

Cybersecurity of Industrial Cyber-Physical Systems: A Review

Hakan Kayan et al.

Summary: The increasing connectivity in Industrial Cyber-Physical Systems (ICPSs) has led to new vulnerabilities and security issues. Existing research mainly focuses on intrusion detection, network traffic analysis, and anomaly detection techniques, while neglecting the study of the outputs of industrial vulnerability assessment reports. This study defines and examines ICPSs from a cybersecurity perspective, presenting a multidimensional adaptive attack taxonomy to evaluate real-life ICPS cyber incidents.

ACM COMPUTING SURVEYS (2022)

Add to Collection

Article Computer Science, Information Systems

QoS-aware Mesh-based Multicast Routing Protocols in Edge Ad Hoc Networks: Concepts and Challenges

Gaurav Singal et al.

Summary: This article provides a detailed survey of recently developed multicast communication techniques, including various QoS techniques and enhancements. It also classifies mesh topology-based MRPs and presents a comparative study of their performance parameters.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2022)

Add to Collection

Review Engineering, Industrial

Production and operations management for intelligent manufacturing: a systematic literature review

Liping Zhou et al.

Summary: The article introduces the characteristics required for intelligent manufacturing production and operations management, and analyzes the current status, challenges, and future directions of related research through literature review, focusing on five research themes including value creation mechanisms, resource configuration, production planning, scheduling, and logistics.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

Add to Collection

Review Engineering, Industrial

Towards edge computing in intelligent manufacturing: Past, present and future

Garima Nain et al.

Summary: This survey examines the applications of edge computing (EC) in intelligent manufacturing and categorizes the research based on architecture, intelligence platform, edge objectives, and application. The article outlines the benefits of edge computing in intelligent manufacturing, such as improved operational efficiency and reduced costs, and discusses future directions and challenges.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

Add to Collection

Review Materials Science, Multidisciplinary

Additive manufacturing of metals: Microstructure evolution and multistage control

Zhiyuan Liu et al.

Summary: This review explores the fundamental procedures of additive manufacturing, including the formation and binding of melt pools, and discusses the evolution mechanisms of microstructures during the process. The review also proposes multistage control methods based on solidification and dislocation theories. Additionally, it addresses the design of microstructures for additive manufacturing through adjustment of process parameters and alloy composition.

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

A Survey of Robot Learning Strategies for Human-Robot Collaboration in Industrial Settings

Debasmita Mukherjee et al.

Summary: In response to increased global competition, manufacturers are required to be more flexible in meeting customer demands, leading to the introduction of human operators and robots for their respective strengths, with a growing interest in shared human-robot workspace. Research in industrial human-robot collaboration focuses on human-robot safety, collaboration modes, and robot autonomy and adaptability.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2022)

Add to Collection

Review Business

Human-machine interface in smart factory: A systematic literature review

Naveen Kumar et al.

Summary: A smart factory in the era of Industry 4.0 adopts new integrated manufacturing technologies and emphasizes the importance of human-machine interfaces (HMIs) for human operators. A systematic literature review (SLR) identified four smart factory functions, 18 tasks, and five interaction modalities, discussing their impact on human operators and offering HMI recommendations for users, designers, and researchers. This study provides insights into the design of HMIs in smart factories.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2022)

Add to Collection

Article Business

Is the sustainability profile of FinTech companies a key driver of their value?

Paloma Merello et al.

Summary: The study found that factors such as issuing a CSR report, position in the CSR RepTrak, company size, and board size have a positive impact on the market value of FinTech companies. On the other hand, the number of green certificates and their position in the Green Ranking are negatively related to market value.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2022)

Add to Collection

Article Engineering, Manufacturing

Introduction to resilient manufacturing systems

Jay Lee et al.

Summary: The recent COVID pandemic has highlighted the vulnerability of modern manufacturing systems to disruptive changes. To address this crisis, it is crucial to enhance manufacturing resilience through automation, digitization, and Artificial Intelligence (AI). This paper redefines manufacturing resilience, focusing on system agility, robustness, and survivability, and explores how industrial AI can be utilized to improve manufacturing resilience.

MANUFACTURING LETTERS (2022)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Human resources management 4.0: Literature review and trends

L. B. P. da Silva et al.

Summary: Digitalization is transforming the workplace and human resource management, presenting trends and challenges for HRM in the context of Industry 4.0. This study provides insights into the impact of digital trends on HRM by conducting a literature review and content analysis.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Cybersecurity awareness in the context of the Industrial Internet of Things: A systematic literature review

Angelo Corallo et al.

Summary: Cybersecurity awareness is crucial in the context of the Industrial Internet of Things (IIoT) to protect companies from cyber-attacks and data breaches. This study conducts a systematic literature review to analyze the existing state of the art in cybersecurity awareness, including definitions, industrial contexts, techniques, and benefits. The findings can be valuable for practitioners and researchers in future research and applications.

COMPUTERS IN INDUSTRY (2022)

Add to Collection

Article Computer Science, Theory & Methods

Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning

Xiaoming Li et al.

Summary: This study aims to analyze massive data generated in smart city IoT through big data analysis, introducing deep learning and multi-hop transmission technology to construct a smart city DTs multi-hop transmission IoTBDA system. The performance analysis of the system shows significant improvements in energy efficiency and prediction accuracy.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Cyber-Physical System Implementation for Manufacturing With Analytics in the Cloud Layer

Mahmoud Parto et al.

Summary: Effective and efficient modern manufacturing operations require the acceptance and incorporation of Industry 4.0. This paper proposes a specific architecture for transforming smart factory data into useful information. A case study demonstrates the effectiveness of the proposed method in automating control processes and reducing response times.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2022)

Add to Collection

Review Chemistry, Analytical

Possible Applications of Edge Computing in the Manufacturing Industry-Systematic Literature Review

Kacper Kubiak et al.

Summary: This article presents the results of research on the potential applications of edge computing in industry. The main findings show that the primary goal of edge computing is to reduce data transfer time and enable immediate feedback through data analysis at the edge. However, implementing edge computing requires investments in infrastructure and employee knowledge. Energy consumption and quality management are also important considerations. The study suggests further research directions for edge computing in areas such as resource scheduling, anomaly detection, data analysis, knowledge management, and simulations.

SENSORS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems

Usman Ahmed et al.

Summary: This article presents a method for mapping OpenCL applications to heterogeneous multicore architectures using machine learning and fuzzy techniques to determine processor suitability and capabilities. The experimental results show that the proposed model improves decision boundaries and achieves high performance metrics.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Digital twins-based flexible operating of open architecture production line for individualized manufacturing

Jiewu Leng et al.

Summary: This paper proposes a digital twins-based open architecture production line design and flexible operating approach for individualized manufacturing. The approach enables flexibility in both the physical and software aspects of the production line, and utilizes digital twins for comprehensive characterization and flexible operation. It provides an effective solution for catering to different individualized requirements.

ADVANCED ENGINEERING INFORMATICS (2022)

Add to Collection

Article Construction & Building Technology

Additive Manufacturing using mobile robots: Opportunities and challenges for building construction

Kathrin Dorfler et al.

Summary: In situ Additive Manufacturing (AM) has gained attention due to the need for productive and sustainable methods in the concrete construction industry. Mobile Additive Manufacturing (MAM) systems show potential for scalability in construction sites through the cooperation of multiple mobile robots.

CEMENT AND CONCRETE RESEARCH (2022)

Add to Collection

Article Engineering, Industrial

Enhanced time-constraint aware tasks scheduling mechanism based on predictive optimization for efficient load balancing in smart manufacturing

Naeem Iqbal et al.

Summary: Smart manufacturing has great potential to meet customized product needs and enhance production efficiency. This research proposes an enhanced TCA task scheduling mechanism based on predictive optimization approach to improve production efficiency. Experimental results show that the proposed mechanism effectively reduces task dropout and starvation rates, and improves machine utilization.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Smart Agent System for Cyber Nano-Manufacturing in Industry 4.0

Naif Almakayeel et al.

Summary: This research provides a unique cyber nanomanufacturing framework by combining digital design with various artificial neural networks (ANN) approaches to predict the optimal nano/micro-manufacturing process in real-time. It establishes a foundation for real-time smart nanomanufacturing with predictive capabilities.

APPLIED SCIENCES-BASEL (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system

Maria Pilar Lamban et al.

Summary: This work focuses on applying 4.0 technologies to address issues in predictive maintenance, improving decision-making through real-time data acquisition and relevant information provision.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

Add to Collection

Proceedings Paper Computer Science, Theory & Methods

Study Cybersecurity of Cyber Physical System in the Virtual Environment: A Survey and New Direction

Lei Shi et al.

Summary: Industry 4.0 connects physical systems to the cyber world, leading to an exponential growth in cyber-attacks. Cybersecurity is identified as a major challenge in applying transformative technologies of Industry 4.0. Industrial systems, known as cyber-physical systems (CPS), are complex and involve heterogeneous devices, making it difficult for researchers to access real industrial CPS. As a solution, virtualization methods and software tools have been used to create virtual or hybrid systems for research. This paper studies existing cybersecurity research on CPS in the virtual environment and identifies Digital Twin (DT) as a promising technology to help lower the cybersecurity research barriers and create other DT-based cybersecurity applications.

2022 AUSTRALIAN COMPUTER SCIENCE WEEK (ACSW 2022) (2022)

Add to Collection

Review Computer Science, Information Systems

IoT anomaly detection methods and applications: A survey

Ayan Chatterjee et al.

Summary: The ongoing research on anomaly detection for IoT is rapidly expanding, with a focus on areas such as network security, sensor monitoring, smart home, and smart city applications. Recent advancements have highlighted the need for further study on IoT anomaly detection applications. However, there are currently limitations in IoT anomaly detection methodologies, particularly in dealing with the integration of various sensors, data and concept drifts, and the lack of Ground Truth data.

INTERNET OF THINGS (2022)

Add to Collection

Review Computer Science, Interdisciplinary Applications

A comprehensive study on current and future trends towards the characteristics and enablers of industry 4.0

Niharika Karnik et al.

Summary: This paper discusses the characteristics, enablers, and future prospects of the Industry 4.0 paradigm, emphasizing its advantages of changing production line dynamics and increasing profitability through virtualization and predictive manufacturing.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2022)

Add to Collection

Article Business, Finance

The impact of artificial intelligence along the insurance value chain and on the insurability of risks

Martin Eling et al.

Summary: The impact of artificial intelligence on the insurance sector is primarily manifested in improving cost efficiency, creating new sources of revenue, changing risk insurability, and transforming the risk landscape.

GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE (2022)

Add to Collection

Article Engineering, Industrial

A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

Kaishu Xia et al.

Summary: The paper proposes a data-driven approach to automate smart manufacturing systems by utilizing digital twin and Deep Reinforcement Learning. It demonstrates the integration of smart agents into industrial platforms to expand the usage of system-level digital twin and improve the digital transformation of the manufacturing industry. The study highlights the potential of combining data science and manufacturing industries through the DRL approach to automated manufacturing control problems.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Add to Collection

Article Engineering, Industrial

How to model and implement connections between physical and virtual models for digital twin application

Haifan Jiang et al.

Summary: Digital twin is a virtual mirror of a physical world or system, serving as a key building block for smart factory and manufacturing under the Industry 4.0 paradigm. The key research question is how to effectively create a DT model during the design stage of a complex manufacturing system and make it usable throughout the system’s lifecycle. Modeling methods for rapidly creating a virtual model and the connection implementation mechanism between physical and virtual systems are crucial for achieving these goals.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Add to Collection

Article Computer Science, Information Systems

Efficient Distributed Decryption Scheme for IoT Gateway-based Applications

Cong Peng et al.

Summary: With the growth of IoT, the importance of user privacy and security has increased, making it the primary concern for deploying IoT applications. This article introduces a secure IoT scheme based on a fine-grained multi-receive signcryption scheme and distributed threshold decryption scheme, ensuring end-to-end secure transmission and data access control. The scheme is proven to achieve the expected IND-CCA security and EUF-CMA security, with efficient computational performance linearly related to the number of messages and receivers.

ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time

Serkan Ayvaz et al.

Summary: The study developed a data-driven predictive maintenance system for manufacturing production lines, utilizing real-time data from IoT sensors to detect potential failures before they occur. The system was successful in identifying indicators of potential failures and the best performing machine learning models were integrated into the production system in the factory.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Quality-enabled decentralized IoT architecture with efficient resources utilization

Jozef Mocnej et al.

Summary: IoT connects everyday objects to the internet, with applications in various fields including smart cities and healthcare. Monitoring and controlling the physical world through IoT creates opportunities and challenges. Sustainable IoT solutions require innovative models and architectures to improve efficiency in the future.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2021)

Add to Collection

Review Energy & Fuels

Towards the Development of Digital Manufacturing Ecosystems for Sustainable Performance: Learning from the Past Two Decades of Research

Abdulrazak E. Shahatha Al-Mashhadani et al.

Summary: The study found that digital manufacturing systems are moving towards complete reliance on digital technologies, improving efficiency and effectiveness in manufacturing processes. However, this transformation requires supportive infrastructure primarily available in developed countries and necessitates more global collaborative research efforts.

ENERGIES (2021)

Add to Collection

Review Engineering, Industrial

Industry 4.0 smart reconfigurable manufacturing machines

Jeff Morgan et al.

Summary: This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS) and explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. Key areas reviewed include RMS fundamentals, machine control technologies, and machine intelligence paradigms. The paper establishes a vision for next-generation Industry 4.0 manufacturing machines with Smart and Reconfigurable (SR*) capabilities.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Add to Collection

Review Green & Sustainable Science & Technology

Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

Mihai Andronie et al.

Summary: The research highlights the importance of understanding sustainable, smart, and sensing technologies for data-driven decision-making processes in cyber-physical manufacturing systems. Findings suggest that artificial intelligence-based decision-making algorithms contribute to the smooth operation of cyber-physical production networks in a sustainable manner, while sustainable Internet of Things-based manufacturing systems can function in an automated, robust, and flexible way. More research is needed to explore how cognitive decision-making algorithms can further advance data-driven sustainable smart manufacturing.

SUSTAINABILITY (2021)

Add to Collection

Article Food Science & Technology

Opportunities of Artificial Intelligence and Machine Learning in the Food Industry

Indrajeet Kumar et al.

Summary: The food processing and handling industry is one of the most significant sectors in the global manufacturing industry, but issues in the supply chain and food safety are prevalent due to human involvement. Introducing artificial intelligence and machine learning technologies can improve production efficiency and reduce errors, leading to cost savings.

JOURNAL OF FOOD QUALITY (2021)

Add to Collection

Article Engineering, Industrial

Towards proactive human-robot collaboration: A foreseeable cognitive manufacturing paradigm

Shufei Li et al.

Summary: The article introduces a new cognitive manufacturing paradigm, Proactive HRC, aiming to achieve high-level cognitive teamwork skills step by step, including collaboration cognition, spatio-temporal cooperation prediction, and self-organizing teamwork.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Add to Collection

Review Engineering, Industrial

Digital twins-based smart manufacturing system design in Industry 4.0: A review

Jiewu Leng et al.

Summary: Digital twins technology can assist designers in effectively simulating various interactions and behaviors of manufacturing processes, thereby reducing the time and cost of physical commissioning and reconfiguration.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

Add to Collection

Article Engineering, Multidisciplinary

Cyber-Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing-A Perspective

Manu Suvarna et al.

Summary: With the rise of Industry 4.0 and smart manufacturing, there is a growing belief that traditional manufacturing is transitioning towards a new paradigm focused on innovation, automation, better customer response, and intelligent systems. The concept of cyber-physical production systems (CPPS) plays a crucial role in data-driven manufacturing, decentralized manufacturing, and integrated blockchain for data security, connecting smart manufacturing aspects and transforming manufacturing towards intuition and automation.

ENGINEERING (2021)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

Smart operators: How Industry 4.0 is affecting the worker's performance in manufacturing contexts

Di Pasquale Valentina et al.

Summary: The fourth industrial revolution is creating new careers that require specific skills and capabilities. Smart Operators 4.0 utilize machines, collaborate with robots, and use various technologies to enhance performance. The interaction between the workforce and enabling technologies is crucial for the success of smart factories, but human behavior variability and reliability can impact performance standards.

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING (ISM 2020) (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Cyber-physical systems research and education in 2030: Scenarios and strategies

Didem Gurdur Broo et al.

Summary: The study examines the potential impact factors and trends facing education and research related to cyber-physical systems in 2030. By constructing a scenario matrix, four possible future scenarios are outlined, highlighting the importance of strategies for the CPS research and education environment.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2021)

Add to Collection

Review Computer Science, Artificial Intelligence

Literature review of Industry 4.0 and related technologies

Ercan Oztemel et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Add to Collection

Article Automation & Control Systems

Symbiotic human-robot collaborative approach for increased productivity and enhanced safety in the aerospace manufacturing industry

Luis Perez et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

Add to Collection

Article Engineering, Industrial

Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective

Alok Raj et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2020)

Add to Collection

Review Chemistry, Multidisciplinary

A Design-to-Device Pipeline for Data-Driven Materials Discovery

Jacqueline M. Cole

ACCOUNTS OF CHEMICAL RESEARCH (2020)

Add to Collection

Article Computer Science, Hardware & Architecture

Industrial internet of things: Recent advances, enabling technologies and open challenges

W. Z. Khan et al.

COMPUTERS & ELECTRICAL ENGINEERING (2020)

Add to Collection

Article Computer Science, Information Systems

Cybersecurity for industrial control systems: A survey

Deval Bhamare et al.

COMPUTERS & SECURITY (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Cybersecurity in the context of industry 4.0: A structured classification of critical assets and business impacts

Angelo Corallo et al.

COMPUTERS IN INDUSTRY (2020)

Add to Collection

Article Engineering, Industrial

Behind the definition of Industry 4.0: Analysis and open questions

Giovanna Culot et al.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

Juan Pablo Usuga Cadavid et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Add to Collection

Review Engineering, Mechanical

Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges

Ishan Mistry et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Add to Collection

Article Engineering, Manufacturing

A knowledge-based approach for representing jobholder profile toward optimal human-machine collaboration in cyber physical production systems

Fazel Ansari et al.

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Using IoT technology for computer-integrated manufacturing systems in the semiconductor industry

Yu-Qiang Chen et al.

APPLIED SOFT COMPUTING (2020)

Add to Collection

Review Engineering, Mechanical

Advanced Data Collection and Analysis in Data-Driven Manufacturing Process

Ke Xu et al.

CHINESE JOURNAL OF MECHANICAL ENGINEERING (2020)

Add to Collection

Review Computer Science, Information Systems

Industrial Control Systems: Cyberattack trends and countermeasures

Tejasvi Alladi et al.

COMPUTER COMMUNICATIONS (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems

Oliver J. Fisher et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Manufacturing big data ecosystem: A systematic literature review

Yesheng Cui et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

Add to Collection

Article Engineering, Industrial

Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing

Yuqian Lu et al.

JOURNAL OF MANUFACTURING SYSTEMS (2020)

Add to Collection

Review Robotics

Data-driven product design toward intelligent manufacturing: A review

Yixiong Feng et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

On a containerized approach for the dynamic planning and control of a cyber - physical production system

Nikolaos Nikolakis et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

Add to Collection

Article Computer Science, Hardware & Architecture

Cyber-physical systems security: Limitations, issues and future trends

Jean-Paul A. Yaacoub et al.

MICROPROCESSORS AND MICROSYSTEMS (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Development of a New Green Indicator and Its Implementation in a Cyber-Physical System for a Green Supply Chain

Paula Morella et al.

SUSTAINABILITY (2020)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Predictive maintenance in the Industry 4.0: A systematic literature review

Tiago Zonta et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges

Jovani Dalzochio et al.

COMPUTERS IN INDUSTRY (2020)

Add to Collection

Proceedings Paper Business

Evaluation of the EU Policy Concerning the Basic Economic Functions of a Modern Government in a Mixed Economy

Pavel Rousek

INNOVATIVE ECONOMIC SYMPOSIUM 2019 - POTENTIAL OF EURASIAN ECONOMIC UNION (IES2019) (2020)

Add to Collection

Proceedings Paper Business

Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions

Zuzana Rowland et al.

INNOVATIVE ECONOMIC SYMPOSIUM 2019 - POTENTIAL OF EURASIAN ECONOMIC UNION (IES2019) (2020)

Add to Collection

Article Business

Emotional intelligence or artificial intelligence- an employee perspective

Catherine Prentice et al.

JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT (2020)

Add to Collection

Article Computer Science, Information Systems

Communications in the 6G Era

Harish Viswanathan et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Information Systems

A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems

Umesh Bodkhe et al.

IEEE ACCESS (2020)

Add to Collection

Article Engineering, Manufacturing

A unified data security framework for federated prognostics and health management in smart manufacturing

Behrad Bagheri et al.

MANUFACTURING LETTERS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods

Mingtao Wu et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2019)

Add to Collection

Article Computer Science, Information Systems

Security and Privacy of Smart Cities: A Survey, Research Issues and Challenges

Mehdi Sookhak et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)

Add to Collection

Review Automation & Control Systems

Challenges for the cyber-physical manufacturing enterprises of the future

Herve Panetto et al.

ANNUAL REVIEWS IN CONTROL (2019)

Add to Collection

Article Computer Science, Theory & Methods

Government regulations in cyber security: Framework, standards and recommendations

Jangirala Srinivas et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Add to Collection

Article Computer Science, Information Systems

MalDy: Portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports

ElMouatez Billah Karbab et al.

DIGITAL INVESTIGATION (2019)

Add to Collection

Review Robotics

Analysis and research of quadruped robot's legs: A comprehensive review

Yuhai Zhong et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2019)

Add to Collection

Article Engineering, Multidisciplinary

Digital Twins and Cyber-Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison

Fei Tao et al.

ENGINEERING (2019)

Add to Collection

Article Automation & Control Systems

Smart manufacturing systems: state of the art and future trends

Y. J. Qu et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2019)

Add to Collection

Article Chemistry, Analytical

Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0

Javier Villalba-Diez et al.

SENSORS (2019)

Add to Collection

Article Computer Science, Theory & Methods

The role of big data analytics in industrial Internet of Things

Muhammad Habib Ur Rehman et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Add to Collection

Editorial Material Automation & Control Systems

Design and management of digital manufacturing and assembly systems in the Industry 4.0 era

Yuval Cohen et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2019)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Cyber resilience protection for industrial internet of things: A software-defined networking approach

Radu F. Babiceanu et al.

COMPUTERS IN INDUSTRY (2019)

Add to Collection

Article Computer Science, Hardware & Architecture

Cybersecurity in industrial control systems: Issues, technologies, and challenges

Muhammad Rizwan Asghar et al.

COMPUTER NETWORKS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Digital twin-driven cyber-physical production system towards smart shop-floor

Haijun Zhang et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2019)

Add to Collection

Proceedings Paper Engineering, Manufacturing

Implications of Cyber-Physical Production Systems on Integrated Process Planning and Scheduling

Hermann Meissner et al.

7TH INTERNATIONAL CONFERENCE ON CHANGEABLE, AGILE, RECONFIGURABLE AND VIRTUAL PRODUCTION (CARV2018) (2019)

Add to Collection

Proceedings Paper Computer Science, Hardware & Architecture

Implementing a Human-Robot Collaborative Assembly Workstation

Ronal Bejarano et al.

2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) (2019)

Add to Collection

Proceedings Paper Automation & Control Systems

Integrated Operations Management for Distributed Manufacturing

Timothy Sprock et al.

IFAC PAPERSONLINE (2019)

Add to Collection

Proceedings Paper Automation & Control Systems

Layout configuration, maintenance planning and simulation of AGV based robotic assembly systems

Istvan Nemeth et al.

IFAC PAPERSONLINE (2019)

Add to Collection

Proceedings Paper Computer Science, Software Engineering

OpenPnP: A Plug-and-Produce Architecture for the Industrial Internet of Things

Leiko Koziolek et al.

2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2019) (2019)

Add to Collection

Article Engineering, Manufacturing

A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems

Jay Lee et al.

MANUFACTURING LETTERS (2019)

Add to Collection

Article Engineering, Industrial

A comprehensive survey of ubiquitous manufacturing research

X. Wang et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)

Add to Collection

Article Computer Science, Hardware & Architecture

Software-defined networking in cyber-physical systems: A survey

Elias Molina et al.

COMPUTERS & ELECTRICAL ENGINEERING (2018)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Cloud Manufacturing as a new type of Product-Service System

Alberto Charro et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2018)

Add to Collection

Article Engineering, Industrial

Cybersecurity for digital manufacturing

Dazhong Wu et al.

JOURNAL OF MANUFACTURING SYSTEMS (2018)

Add to Collection

Article Engineering, Industrial

Data-driven smart manufacturing

Fei Tao et al.

JOURNAL OF MANUFACTURING SYSTEMS (2018)

Add to Collection

Review Computer Science, Information Systems

Industrial Internet of Things: A Systematic Literature Review and Insights

Yongxin Liao et al.

IEEE INTERNET OF THINGS JOURNAL (2018)

Add to Collection

Review Chemistry, Analytical

Future challenges on the use of blockchain for food traceability analysis

Juan F. Galvez et al.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2018)

Add to Collection

Article Computer Science, Hardware & Architecture

CUSTOMIZED INDUSTRIAL NETWORKS: NETWORK SLICING TRIAL AT HAMBURG SEAPORT

Peter Rost et al.

IEEE WIRELESS COMMUNICATIONS (2018)

Add to Collection

Article Engineering, Mechanical

Conceptual design and kinematic analysis of a novel parallel robot for high-speed pick-and-place operations

Qizhi Meng et al.

FRONTIERS OF MECHANICAL ENGINEERING (2018)

Add to Collection

Article Green & Sustainable Science & Technology

The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain-The Case of Hungary

Judit Nagy et al.

SUSTAINABILITY (2018)

Add to Collection

Article Business

Strengthening advanced manufacturing innovation ecosystems: The case of Massachusetts

Elisabeth B. Reynolds et al.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Predictive distant operation and virtual control of computer numerical control machines

Toly Chen et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2017)

Add to Collection

Article Automation & Control Systems

Gravity Compensation of Robotic Manipulators Using Cylindrical Halbach Arrays

Julien Boisclair et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2017)

Add to Collection

Article Environmental Sciences

Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

Jordi Inglada et al.

REMOTE SENSING (2017)

Add to Collection

Article Computer Science, Information Systems

Cyber-Physical Systems Security-A Survey

Abdulmalik Humayed et al.

IEEE INTERNET OF THINGS JOURNAL (2017)

Add to Collection

Proceedings Paper Engineering, Manufacturing

A review of the meanings and the implications of the Industry 4.0 concept

A. C. Pereira et al.

MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE 2017 (MESIC 2017) (2017)

Add to Collection

Proceedings Paper Engineering, Manufacturing

Development of a Model for the Integration of Human Factors in Cyber-physical Production Systems

Hendrik Stern et al.

7TH CONFERENCE ON LEARNING FACTORIES (CLF 2017) (2017)

Add to Collection

Article Robotics

Self-healing soft pneumatic robots

Seppe Terryn et al.

SCIENCE ROBOTICS (2017)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook

Radu F. Babiceanu et al.

COMPUTERS IN INDUSTRY (2016)

Add to Collection

Proceedings Paper Engineering, Industrial

Future trends in human work area design for cyber-physical production systems

Till Becker et al.

FACTORIES OF THE FUTURE IN THE DIGITAL ENVIRONMENT (2016)

Add to Collection

Article Computer Science, Software Engineering

Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation

Dazhong Wu et al.

COMPUTER-AIDED DESIGN (2015)

Add to Collection

Article Computer Science, Information Systems

Experimental assessment of network design approaches for protecting industrial control systems

Bela Genge et al.

INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION (2015)

Add to Collection

Article Biochemical Research Methods

Electron Capture, Collision-Induced, and Electron Capture-Collision Induced Dissociation in Q-TOF

Valery G. Voinov et al.

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2011)

Add to Collection

Article Automation & Control Systems

An Open CNC System Based on Component Technology

Dong Yu et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2009)

Add to Collection

© Peeref 2019-2024. All rights reserved.