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

Cyber-physical systems (CPS), such as collaborative robots, smart cities, and autonomous vehicles, are seen as decisive contributions to addressing many societal challenges. These systems have the power to provide solutions to cope with an aging population, address climate change, and improve issues of health, public safety and mobility. As a product of the fourth industrial revolution, these systems

In smart factories, guaranteeing shopfloor-synchronised and real-time decision-making is essential to be responsive to the ever-changing internal environment, namely the shopfloor of the production system and assets. At operational level, decisions should balance counter acting objectives of maintenance and production; therefore, their decision-making processes should be joint and coordinated, to fulfil

Production planning, scheduling and sequencing comprise the core of the manufacturing companies’ performance. The new and changing market demands make manufacturing a challenge because companies must produce by using the minimum possible number of resources to provide high-quality products and to respond quickly to market demands. Thus the need for efficient production planning, scheduling and sequencing

With the advent of Industry 4.0, manufacturing networks are increasingly flexible. However, a means to measure the potential level of flexibility as well as the practically attained one is missing. In this work, production lines are abstracted as directed complex networks and are evaluated using path-transfer flow entropy. Firstly, the path probability distribution of the binary representation of the

Vision inspection as an important automation technology in manufacturing industry undertakes many appearance quality related tasks, such as product positioning, recognition, and measurement. Intelligent manufacturing increases the demand for vision methods in production scenes. However, the diversity and increment of the targets, and the feature robustness and scheme migration have restricted further

This paper presents the industrial parts change recognition model using machine vision image processing in the framework of industrial information integration and it is applied research's category. Therefore, this study implements a new industrial information integration engineering (IIIE)system by combining components that have previously been expressed separately by previous research to develop inspection

The successful implementation of Industry 4.0 requires a comprehensive research, industrial innovation, strategic plans, and integration of engineering concepts. In this study, we described the development of a knowledge-based system to improve the traditional injection molding process using information integration. This system aims to support injection molding industries by applying advanced solutions

Wireless sensor networks (WSN) are essential technologies of modern smart industry and their reliability is crucial for industrial information integration. This paper contributes by modeling the reliability of a linear multi-state consecutively connected system (LMCCS), which consists of a WSN providing the signal source, some intermediate nodes, and a sink node. The wireless sensors (WS) constituting

The push towards Industry 4.0 is constraining the industries to work in integrated supply chains. This implies to be open to the integration their production plants with other plants, and to provide access to their data and processes. In most cases, this also means to give access at data and flows to their customers to perform some synchronizations, permit supervision, and to create integrated control

Industrial process plants have a lifecycle of several decades, and only some of the most modern plants have digital, machine-readable design information available. For all other plants, the information is often available in PDF and other human-readable formats. Based on this information, a digital twin could be constructed only with considerable human effort. There is a need for a methodology for the

In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS) field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents vision-based real-time vehicle detection and Vehicle Speed Measurement

The technological advances recently brought to the manufacturing arena (collectively known as Industry 4.0) offer huge possibilities to improve decision-making processes in the shop floor by enabling the integration of information in real-time. Among these processes, scheduling is often cited as one of the main beneficiaries, given its data-intensive and dynamic nature. However, in view of the extremely

Traffic congestion problems are very common in the large municipalities, especially in areas with karst features. Traffic jams happen in many key traffic nodes (such as the bridges across the river and the tunnels through the mountains) frequently, which may lead to severe challenges for the vehicle routing optimization. To effectively solve the routing problem of Cash-in-Transit (CIT) sectors, this

In the context of Industry 4.0, process automation and predictive maintenance play an essential role. There is a need to provide more effective and faster maintenance through the integration of industrial tools and processes, to support manufacturing operations, in the perspective of integration standards and architectures. In a typical maintenance system, registration and maintenance requests are

With the increasing demand for high productivity and low cost, the advanced manufacturing system has become more complex. It is challenging to develop an advanced manufacturing system by engineers or researchers from manufacturing engineering disciplines. To combine knowledge and skills from two or more disciplines, interdisciplinary engineering (IDE), from industrial information integration, was carried

Digital Twin technology is emerging as the digitization platform to enhance the industrial information processing and management in concern with virtual and physical entities. It paves the path for integrated industrial data analysis by combining IoT and Artificial Intelligence for better data interpretation. At present in oil industry, pipelines prevail to be feasible mode, the risk probability rate

This paper presents the first ever framework for implementing Product Lifecycle Management within high value Engineering to Order programmes. When implementing PLM, the organisation should first understand its strategic objectives and core processes and use this to decide on the PLM approach, which should influence the PLM system implementation. The research first highlights that the scale, complexity

Defects are unavoidable during manufacturing processes, and a tremendous amount of research aimed at improving defect prevention has been conducted by scholars. Zero Defect Manufacturing (ZDM) seeks to eliminate defects in production. In addition, technological advancements now allow the repair of defective products. This creates the need to re-schedule productions more frequently in order to take

Industry 5.0 is regarded as the next industrial evolution, its objective is to leverage the creativity of human experts in collaboration with efficient, intelligent and accurate machines, in order to obtain resource-efficient and user-preferred manufacturing solutions compared to Industry 4.0. Numerous promising technologies and applications are expected to assist Industry 5.0 in order to increase

Data quality management (DQM) is one of the most critical aspects to ensure successful applications of the Internet of Things (IoT). So far, most of the approaches for assuring data quality are typically data-centric, i.e., mainly focus on fixing data issues for specific values. However, organizations can also benefit from improving their capabilities of their DQM processes by developing organizational

The prevailing system and software model in automation systems engineering is defined by the IEC 61131 norm. It is to date the best way we know how to express low-level logic and manipulate electrical hardware signals. However, the exponential technological growth is continuing to raise the expectations on what automation systems are supposed to be capable of doing. Fulfilling rising requirements and

The development of modern technologies has caused the formation of the “Industry-4.0” concept, which enables an increase in safety, reliability, energy and functional efficiency through the intellectualization of the manufacturing processes. The implementation of this concept has a special place in the coal mining industry, where one of the strategic tasks is the creation of unmanned coal mines. In

The Programmable-logical-controller (PLC) has been the key building block of industrial control systems throughout the whole automation revolution, where its role has been mainly to command low-level regulatory feedback control loops. Despite the great recent advances in automation technologies, driven by the paradigm of the Industry 4.0 and its hyper-connected ecosystem, the PLC has not seen yet a

Assembly robots have been widely used in the manufacturing industry. However, performing precise assembly tasks still poses a great challenge for robots due to numerous sources of the uncertainties such as fixtures, end effectors, or actuators, and the most critical technical bottleneck is to find the best search strategy to improve positioning accuracy in assembling. Search strategies are evaluated

The application of blockchain in food supply chains does not resolve conventional IoT data quality issues. Data on a blockchain may simply be immutable garbage. In response, this paper reports our observations and learnings from an ongoing beef supply chain project that integrates Blockchain and IoT for supply chain event tracking and beef provenance assurance and proposes two solutions for data integrity

Agent-based simulation has become a useful tool in describing military industrial logistics organization behavior to implement military industrial information integration. Considering the specific demands of virtual engagement terrain design, this study present a framework for terrain visualization information integration in agent-based military industrial logistics simulation, which consists of perception

Aiming at the problems of information storage security and information sharing among various medical information systems, combined with blockchain consensus mechanism, encryption mechanism, peer-to-peer network, and other technologies. A medical information system scheme based on blockchain is proposed to realize the storage and sharing of medical information. The program has the characteristics of

The Industry 4.0 and the development of the Internet of Things (IoT) allow industrial companies to innovate by more efficiently integrating customers’ information into the product's design. The products can now be more quickly adapted, optimized, and customized according to a large panel of customer preferences from different cultures. The acquisition of customers requires the creation of websites

In the last decades, the integration of information systems supporting planning, scheduling, and control has been a serious concern of the industrial community. Several standards have been developed to tackle this issue by addressing the exchange of data between the scheduling function and its immediate lower and upper levels in the planning pyramid. However, a more comprehensive approach is required

Conceptual design is a pivotal stage of new product development in manufacturing industries. Since multiple design alternatives are put forward at this stage, developing advanced evaluation methods is of great importance. Existing methods adopt additive models to integrate evaluation data. They face some inconsistency issues, e.g. inconsistency in the independent assumption and interdependent data

Home Health Care Supply Chain (HHCSC) is an interesting and widespread topic in developed countries due to an aging population's care. Home care services aim to provide general hygiene care and nursing considering dependency for older people. One of the real circumstances in such systems is that the two parties, caregivers and patients, adopt their decisions at different decision levels. From the perspective

KBE systems have been studied by researchers for about 30 years. Numerous papers have been published, approaches have been formally built and methodologies have been developed. Despite these achievements, attempts at a wider and more effective application of KBE in industry still encounter various difficulties, both in the process of creating KBE applications and in conducting their further development

In this study, the risk and benefit mechanism of an information integration system embedded into a system dynamics model is applied to calculate the overall risk of urban rail transit public–private partnership (PPP) projects. Moreover, the cash flow and accumulation of a PPP project are simulated. In the risk mechanism information integration system, a risk allocation decision model is established

The public–private partnership (PPP) financing mode has developed rapidly since its introduction into China's municipal engineering construction. However, successful PPP projects are rare due to the lack of a scientific information integration system. This study proposes an information integration framework of the risk and reward mechanism for urban rail transit (URT) PPP projects on the basis of data

The IEEE 802.11-based Wireless Local Area Network (WLAN) has become a ubiquitous networking technology deployed around the world. IEEE 802.11 WLAN are now widely used for real-time multimedia applications (e.g. voice and video streaming) and distributed emergency services such as telemedicine, healthcare, and disaster recovery. Both time-sensitive applications and emergency traffic are not only characterized

The need for standardization emerged with the fast development of video streaming technologies. MPEG Dynamic Adaptive Streaming over Hypertext Transfer Protocol (MPEG DASH) is a standard for adaptive video streaming. Applications developed in compliance with MPEG DASH ensure smooth playback to end-users while being hardware agnostic, cost-efficient, and easy to maintain. The client side of the MPEG

The micro-electromechanical system (MEMS) vibratory gyroscope has been widely used in many fields, such as aerospace, autonomous vehicles, and robotics. The major affecting factor of the final accuracy of this type of gyroscope is random noise error. The MEMS vibratory gyroscope has been a hot research topic in the vibratory gyroscope field. This paper considers the vibratory gyroscopes, such as metal

Because swarm robots have been applied widely in various fields, the evolution capability of their strategy have become of primary interest; therefore, the evolution method of swarm robots’ strategy has attracted attention in both industry and academia, especially for complex applications owing to their varied task scenes. Large amounts of researches have been conducted to realize strategy evolution

Wastewater treatment process (WWTPs) is an enormous and complex system, it involves multi-disciplines and multi-fields, which is a greatly challenge for industrial Information Integration Engineering (IIIE). In this paper, an integrated control framework for WWTPs is proposed using intelligent optimization to solve the problem of excessive pollutant and high energy consumption. It realizes the effective

The possibility of Internet of Things (IoT) is that a large number of live items (e.g., apparatuses) in the network are available, detected, and interconnected. In any case, the performance of IoT networks may be limited due to several impairments, most importantly, the energy-constrained IoT nodes. In fact, this limitation opens the door to many researchers where using network clustering has proven

Industry 4.0 (I4.0) defines a new paradigm to produce high-quality products at the low cost by reacting quickly and effectively to changing demands in the highly volatile global markets. In Industry 4.0, the adoption of Internet of Things (IoT)-enabled Wireless Sensors (WSs) in the manufacturing processes, such as equipment, machining, assembly, material handling, inspection, etc., generates a huge

As the industries transit towards industrial integration and informatization, the many advantages from interdisciplinary collaborations come with added technical challenge, especially in large scale and complex systems. Different from typical objects, the interconnected power system is the largest system ever built in industrialized world. Since the development of Power System State Estimation (PSSE)

Industry 4.0 makes it possible to develop smart emergency rescue systems in natural disasters. One of the most critical challenges is forecasting the demands of resources for appropriate resource allocations based on data from multiple sources with different levels of reliability. This paper deals with the challenge of data fusion and processing in forecasting resource demands for emergency responses

Based on a triple bottom line concept, sustainable development is characterized by the simultaneous pursuit of economic, environmental and social goals. The implementation of this concept in production scheduling can result in the resolution of a sustainable Distributed Permutation Flow Shop Scheduling Problem (DPFSP). The present study conceptually shifts an energy-efficient DPFSP to a sustainable

In smart industrial applications, Wireless Sensor Networks (WSNs) contribute to the development of innovative systems that aim to improve the operational efficiency. However, node localization in the indoor environment still remains one of the main limitations of this technology. For WSNs, the use of a directional antenna is found to be a promising strategy that is primarily used to reduce interference

In the world, the technological and industrial revolution is accelerating by the widespread application of new generation information and communication technologies, such as AI, IoT (the Internet of Things), and blockchain technology. Artificial intelligence has attracted much attention from government, industry, and academia. In this study, popular articles published in recent years that relate to

One of the crucial issues facing enterprise modelling (EM) practices is that EM is considered technical, and rarely or never has a social focus. Social aspects referred to here are the soft aspects of the organisation that lead to organic organisation development (communication, collaboration, culture, skills and personal goals). There are many EM approaches and enterprise architecture frameworks were

The ongoing 4th industrial revolution is affecting all aspects of traditional industries, including technical and organisational issues. In this context, there is a wide variety of European manufacturing initiatives addressing the challenges related to the implementation of the 4th industrial revolution principles and ideas, including digitalization and Zero-Defects Manufacturing (ZDM). Besides technical

Automated early process fault detection and prediction remains a challenging problem in industrial processes. Traditionally it has been done by multivariate statistical analysis of sensor readings and, more recently, with the help of machine learning methods. The quality of machine learning models strongly depends on feature engineering, that in turn heavily relies on expertise of the process engineers