The growing demand for fresher and better quality food products has led various researchers to propose solutions in this field. Besides the increase in food production, the efficiency of food logistics must be improved to reduce waste. An efficient food supply chain also reduces the final cost of products, increases producers’ incomes, mitigates the environmental impacts, and allows transportation

As congestive heart failure (CHF) has become an important medical problem facing the world, the detection of the CHF is very important. Internet of medical things (IoMT) has been increasing popularity as its application and function in industry 4.0 era. IoMT systems provide an opportunity for innovations and cross-discipline applications in the medical fields, that can significantly improve the efficiency

Establishing an automated defect detection system is a critical task for industrial production, but the current defect detection system still faces great challenges, especially for defects with blurred edges and weak defects in complex backgrounds. To solve these problems, we propose an edge-guided and differential attention network (EGD-Net), which can highlight the defect areas by strengthening edge

The present research on the multi-sensor information fusion technology of mobile robots aims to better understand the outdoor scene and improve the robot's perception of the environment. Firstly, a conversion algorithm is proposed based on two point-cloud-to-image algorithms, including the point cloud plane fitting and point cloud projection transformation. Moreover, the elevation map is constructed

Man plays an important role as the moving sensor platform in information systems, including 6G communication and intelligent applications. In particular, personal self-position and attitude are critical for firefighters performing rescues, athletes competing in sports, and the shooter with a shoulder launcher aiming at a target. Due to the swinging of the human body and respiratory fluctuations, the

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Currently, lung cancer has become one of the most common and deadliest types of cancer. Due to its severity, many countries are now encouraging their at-risk citizens to test and treat lung cancer early. Lung cancer has been worse for poor regions or countries, whose citizens are more susceptible to lung cancer, as the local medical resources and healthcare provider level are inadequate. In recent

There is growing interest in energy-efficient production scheduling research because of the increasing energy shortage. However, most existing studies along this line of research have not considered the energy consumed by automated guided vehicles (AGVs) used in modern smart factories for production scheduling purposes. In this paper, we study an energy-efficient open-shop scheduling problem with multiple

Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including real-time monitoring, simulation, optimisation and accurate forecasting. However, the theoretical framework and practical implementations of digital twin (DT) are yet to fully achieve this vision at scale. Although an increasing number of successful implementations exist in research

Power electronic equipment regulated by the International Thermonuclear Experimental Reactor (ITER) organization must pass the relevant steady-state magnetic field immunity test. The magnetic field immunity testing equipment studied in this paper is an interdisciplinary problem involving electrical, electronic information, structure, fluid, materials, computers, etc., and involves the integration of

Systems integration processes need to become more efficient and effective in order to allow enterprises to be nimbler and more responsive in today's dynamic markets. Systems integration typically depends on data exchange standards (DESes) and the associated DES usage specification that provides precise standard implementation requirements. However, there are significant inefficiencies in DES usage

Recent studies on Machine learning (ML) and its industrial applications report that ML-enabled systems may be at a high risk of failure or they can easily fall short of business objectives. Cutting-edge developments in this field have increased complexity and also brought new challenges for enterprise information integration. This situation can even get worse when considering the vital importance of

Industrial automation is a multi-disciplinary study field that is constantly evolving. This research proposes IoT-based real-time liquid level monitoring and control in a single tank system. A PID controller with parameters sets using a novel modified Grey Wolf Optimization (mGWO) algorithm is used to manage the liquid level. The PID controller was then built on the ESP32 microcontroller module, and

Virtual engineering increases the rate of and diversity of models being created; hence requires maintenance in a product lifecycle management (PLM) system. This also induces the need to understand their creation contexts, known as historical or provenance information, to reuse the models in other engineering projects. PLM systems are specifically designed to manage product- and production-related data

Within the context of Industry 4.0, Cyber Physical Systems (CPS) are defined as technologies that can manage interconnected systems between its physical assets and computational capabilities. Successful integration of industry 4.0 principals requires a digital transformation in the production workshops, to interconnect the objects and equipment with the decision process. Due to this informatization

This work aims to explore the robot automatic navigation model under computer intelligent algorithms and machine vision, so that mobile robots can better serve all walks of life. In view of the current situation of high cost and poor work flexibility of intelligent robots, this work innovatively researches and improves the image processing algorithm and control algorithm. In the navigation line edge

Quantum computing is an interdisciplinary field that seeks to understand the processing of information using quantum mechanics principles. Quantum computing is the exploitation of properties of quantum states such as superposition and entanglement to perform computation. It has shown its supremacy over conventional computing. Quantum computing can outperform much more than existing computers. As such

Process planning and scheduling is one of the key factors to influence manufacturing quality and efficiency. The Industrial Internet-of-Things is built up to enable intelligent sharing of distributed manufacturing equipment, and more processes and resources are available for a production order. Thus, compared to the traditional single workshop manufacturing environment, process planning and scheduling

Nowadays, many manufacturing companies are trying to improve the performance of their processes using available innovative technologies such as collaborative robots (cobots). Cobots are robots with whom no safety distance is necessary. Through cooperation with human workers, they can help increase the production speed of existing workstations. The well-known job shop scheduling problem is, therefore

Industry 4.0 provides an opportunity for realizing converter intelligent steelmaking. Based on a cyber-physical system (CPS) framework for steelmaking plants, we developed a non-contact intelligent prediction model for determining molten steel carbon content. We achieved this by leveraging big data in-depth learning and optical information from converter mouth flame characteristics to realize accurate

Development of advanced structures using modern manufacturing methods has become attractive since they allow to improve system efficiency and performance, fuel consumption reduction, lightweighting to decrease weight and durability of structures, and many more. Designing tools such as topology optimization (TO) has contributed to such developments and facilitated in adapting new manufacturing methods

Modeling and simulation are now leading the way in supporting analysis and development of system of systems. At present, to support the unified modeling formalism and dynamic simulation for different domain specific models across MBSE process, system modeling languages (such as SysML) are often required to cooperate with multi-physics modeling languages and simulation platforms (such as Modelica, Simulink)

Cyber-physical systems (CPS) allow the integration of computation to physical contexts, unlocking more sophisticated capabilities in engineering systems. A methodology is needed to properly guide the entire process of creating, designing, building and implementing a CPS. Methodologies addressing the essential aspects of CPS design already exist. However, none was found that properly concerns the company's

In this paper we introduce a research agenda to guide the development of the next generation of Discrete Event Simulation (DES) systems. Interfaces to digital twins are projected to go beyond physical representations to become blueprints for the actual “objects” and an active dashboard for their control. The role and importance of real-time interactive animations presented in an Extended Reality (XR)

This study aims to improve the efficiency of construction efficiency to ensure the infrastructure needs of urban development. Targeting at realizing the intelligent manufacturing of buildings, the digital twins are applied to all stages of building construction, and the three-dimensional (3D) modeling is implemented. A digital twins framework in the construction field is constructed based on the building

Despite the promising features of blockchain, such as enhancing efficiency, transparency, immutability, cost savings, and traceability, the technology is still not widely adopted across industries. The oil and gas industry uses state-of-the-art engineering solutions for oil and gas exploration but substantially lags behind in using innovative digital technologies that can improve operational excellence

Nowadays, the textile industry is strutting its stuff. On one hand, customers have a diverse choice of products available on personalized mobile apps, with immediate deliveries and returns. On the other hand, production is more effective and efficient than ever, thanks to increased automation and computerization in textile processes. However current supply chain management systems still face several

Signal transmission reliability of cable harnesses is essential to commercial aircraft engine performance and flight safety as a commercial aircraft operates in growingly complex electromagnetic (EM) environments. Investigating EM responses of aircraft engine cable harnesses under high-intensity radiated field (HIRF) excitations enables optimization of cable harness configurations, and ensures satisfaction

In the age of complex and large-scale systems, Model-Based System Engineering (MBSE) is increasingly becoming a sine qua non in industry due in large part to a wider use of software applications and an increased move towards standardization. In this study, we research the application of the MBSE methodology (definition, design, analysis, and synthesis) to disruption management with a specific focus

Wireless Sensor Networks (WSNs) are generally deployed with low-cost devices that have low power consumption and small-size sensor nodes. They can be used in several monitoring and control applications such as; health, agriculture, and environment. With the advent of Industry 4.0 and Artificial Intelligence (AI), WSNs attracted many industrial applications and specific implementation scenarios. In

Production scheduling enables a production system to allocate resources for the efficient and low-cost production. However, pure mathematical methods are typically utilized for production scheduling, which are not understandable and practical for different domain engineers. Moreover, heterogeneous information during production scheduling may result in communication ambiguity or an information delay

Biomedical research is a prominent case of knowledge work, often driven by data and information. A major limiting factor in biomedical research is access to information when and where it is needed, namely on the job. Biomedical research is very data-driven and even the amount of data that one researcher generates can be overwhelming. Consequently, researchers are prone to develop a psychological state

With the rapid growth of cloud computing, efficient operational optimization and resource scheduling of complex cloud business processes rely on real-time and accurate performance prediction. Previous research on cloud computing performance prediction focused on qualitative (heuristic rules), model-driven, or coarse-grained time-series prediction, which ignore the study of historical performance, resource

Industrial information integration can help companies develop supply chain systems and is a good framework for vehicle routing problem. To address the problems of excessive energy consumption, environmental pollution caused by carbon dioxide emission, and timeliness in the transportation process, a multi-objective vehicle routing optimization model was proposed to minimise transportation, carbon emission

In recent years, the air transport market has experienced strong growth, increasing the demand for new civil aircraft, challenging the actual production rate of aerospace industries. The bottleneck of the production for the aviation industry lies in the capability of the manufacturing and assembly facilities to fulfill the module arrangement in the current design. The development of optimized product

Industrial equipment manufacturing, such as electric power transformers, require highly customized design, assembly, installation and maintenance services for customers. Engineering consultation is an essential manufacturing service which requires deep domain knowledge. This research develops and implements the framework and the prototype of a Virtual Reality (VR) enabled intelligent engineering consultation

Smart contracts (SC) run on blockchain technology (BCT) to implement agreements between several parties. As BCT grows, organizations aim to automate their processes and engage in business collaborations using SCs. The translation of contract semantics into SC language semantics is difficult due to ambiguous contractual interpretation by the several parties and the developers. Also, an SC language itself

Digital twin creates the virtual model of physical entity in digital way, promotes the interaction and integration of physical world and information world, and builds a reliable bridge for industrial information integration. With the rapid evolution of digital twin, the application of digital twin has found an increasingly wide utilization in smart manufacturing. In view of the practical problems encountered

The Smart Manufacturing paradigm requires support by smart supply chains with capabilities of self-organizing and self-optimizing capabilities to accommodate uncertainties. Conventional supply chains face challenges in optimizing logistic processes and reducing overall costs of products and services. The emerging Internet of Things, Cyber-Physical Systems, and blockchain have laid the foundation to

Blockchain technology has taken on a leading position in today’s industrial applications by providing salient features and showing significant performance since its beginning. Blockchain began its journey from the concept of cryptocurrency and is now part of a range of core applications to achieve resilience and automation between various tasks. However, with the integration of Blockchain technology

In recent years, cloud storage service has widely attracted the healthcare industry. Healthcare organizations are gradually outsourcing the massive-scale electronic healthcare records (EHRs) on cloud paradigm. This specialized cloud-assisted EHR storage architecture facilitates the healthcare organizations with high scalability, flexibility, low-cost operations, and availability to outsourced EHRs

A system paradigm is a typical pattern or model of enterprise architectures (EAs) that describes constitutive system elements and their relations in achieving missions and goals of enterprises. A well-defined system paradigm and EA help enterprises in adopting appropriate manufacturing resources and technologies, optimizing plans, schedules, and controls of production lines, and coping with complexity

Most existing lane reservation studies usually consider a static transportation network with assuming constant link travel times. However, in reality the link travel times are highly uncertain due to various factors such as weather, accidents, road maintenance, intersections, etc. Moreover, the precise link travel time probability distribution is usually difficult to be obtained. This paper studies

During the last two decades, profound technological changes have taken place around us, supported by disruptive advances, both on the software and hardware sides. An amalgamation of information, communication, and artificial intelligence is taking place, as well as the cross-fertilization of a wide range of concepts, referred to as the digital transformation. While the discussion on how to operationalize

Designing highly usable and ergonomic dashboards is fundamental to support users in managing and properly setting complex vehicles, like trains, airplanes, trucks and tractors. Contrarily, control dashboards are usually intrusive, full of controls and not really intuitive or usable. This paper focuses on the design of ergonomic and usable dashboard for specific classes of vehicles, like tractors and

In the Industry 4.0/5.0 era, information integration is employed to fuse information from different companies to facilitate interoperation. However, information extraction is an important preprocessing phase that must be performed prior to integrating data from different contexts. Relation extraction, which is an element of information extraction, is typically the basis of many upper-level applications

Industrial vision systems have been adopted in many manufacturing processes for monitoring manufacturing procedures. With the recent proposed concept of industrial information integration engineering (IIIE) (Da Xu, 2020 [1]), the adoption of industrial vision systems involves a wider IIIE context as a data acquisition measurement, and thus higher level intelligence like control automation is expected

Manufacturing activities in cloud-based environments strongly rely on the online integration and description of the capability of machining resources. In the authors’ previous work, STEP-NC schema was applied to construct an ontology model to support the integration and reasoning of machine tool information and capability. For the maintenance and update of the model, in this paper, a self-learning

Organisational assessments provide a view of the state of different aspects of an enterprise so as to understand its strengths, weaknesses and possible improvement paths. A relevant element used to perform assessments is the assessment framework, which contains the requirements that the entity must fulfil as well as other aspects. On the other hand, another essential element during an assessment is

Maintenance and Industrial Asset Management (AM) are fundamental business processes in guaranteeing the availability of physical assets at minimum risk and cost, while balancing the interests of several stakeholders. To reach operational excellence, intra- and inter-enterprise interoperability of systems is needed to support information management and integration between several involved parties. To

This paper aims to present a methodological approach for capturing information and characterizing difficult-to-access geological outcrops using unmanned aerial vehicle-based digital photogrammetric data, which has been growing in importance as a three-dimensional modeling method along with the use of 3D geomodelling, geological, stratigraphic and structural software packages, and specialized programmed

As an effective means to reduce enterprise energy consumption, job-shop scheduling has received extensive attention in the industry. This paper focuses on a real case energy-efficient scheduling problem for aerospace complex components in a flexible job-shop with complex processes. To handle the issues of low production efficiency, high energy consumption and processing cost in the job-shop, an aerospace

Since the first Industrial Revolution the trends in manufacturing have evolved a lot, from mechanical production to the era of smart manufacturing via technologies like Cyber Physical Systems, Internet of Things, Big Data, Cyber Security, Cloud Computing, Additive Manufacturing, Advanced robots, Modelling and Simulation and Augmented Virtual Reality. These technologies are enabling Interoperability

In more recent times, research on various aspects of the Wire Arc Additive Manufacturing (WAAM) process has been conducted, and efforts into monitoring the WAAM process for defect identification have increased. Rapid and reliable monitoring of the WAAM process is a key development for the technology as a whole, as it will enable components produced by the process to be qualified to relevant standards