Industry 4.0 is a recent concept comprising several enabling technologies with the potential to bring about a deep transformation in industrial operations. The concept and what these enabling technologies are about are being widely discussed in the literature. For the purposes of this book, additive manufacturing, autonomous and collaborative robots, big data and artificial intelligence, cloud computing and the Internet of Things, augmented and virtual reality and simulation, the digital twin, were selected to be studied. Thus, the chapter aims at presenting these technologies and bringing to the reader’s attention some noteworthy examples taken from both academia and industry.

Aerospace Transformation through Industry 4.0 Technologies

Data-centric B2B platforms are platforms where multiple B2B users relate and manage data for creating value. Despite the growing academic and industrial interest in these platforms, the existing research does not adequately investigate (i) who are the sides managing data within data-centric B2B platforms, (ii) what activities they perform to manage data within data-centric B2B platforms, and (iii) how their relationships aimed are governed within data-centric B2B platforms. Consequently, how data-centric B2B platforms create value (i.e., who they involve, what activities they allow to do, and how they manage sides' relationships) remains unclear. To address this gap, this paper analyzes the cases of three data-centric B2B platforms (i.e., MindSphere, Skywise, Open-es). Authors (i) categorize the sides managing data on these platforms (i.e., clients, providers, enablers), (ii) identify how these sides relate to perform data acquisition and manipulation activities, and (iii) illustrate the specific governance mechanisms supporting these relationships. Finally, a model discusses the goals, the transactional and innovation behaviors, and value creation mechanisms in data-centric B2B platforms. By adopting a value creation perspective of data-centric B2B platforms, this paper contributes to both theoretical and managerial debates surrounding B2B platforms. 

Value creation in data-centric B2B platforms: A model based on multiple case studies

Businesses benefit from supply chain management because it enables the compatibility, integration, and high performance of applications, as well as the development of competitive qualities such as pricing, quality, and innovation. Today, businesses use information technology to compete and achieve their goals. Industry 4.0 is a new situation that has emerged as informatics, communication, internet, sensors, automation, artificial intelligence, and robotic technologies greatly affect and change production processes. As a result of Industry 4.0, information and automation technologies have caused the supply chain to adapt by digitizing it. On the other hand, with Industry 5.0 studies, it is aimed to reveal great innovations in logistics and supply chain management. In this study, the information and communication technologies used in the logistics and supply chain sector will be examined, Industry 5.0 applications will be discussed, and the current situation of Turkey will be evaluated. 

Information and Communication Technologies in Logistics and Supply Chain Management in Turkey

Overview of Application in Data Mining Techniques to QAR Data Ansys

Application of Grey Relational Analysis for Utilizing Artificial Intelligence Methods in Aviation Management

Due to advancement of electronic hardware and software, big leaps in computational power and resurging of several enabling technologies such as AI, big data and cloud is continue happening. Gaining momentum in traditional industries such as automotive, a huge trend of applying these new technologies into commercial aviation industry is happening. The main application areas include better monitoring and health management, easier or faster maintenance support that could generate better airline economy. The first part of this paper summarizes these technologies and their potential usage in commercial aviation, followed by second part with industry movements in this digitalization trend. Finally, impacts to the industry and some observation thoughts are given in the conclusion part. By comparing the new technologies and activities of large corporation, the reader should easily get better understanding of future trend in commercial aviation maintenance and support digitalization. This paper could also promote new technologies applying in aviation industry, by bridging the gap between industry and academia. Guiding research institution, technology startups and universities the right way to help industry in this digital revolution.

Enabling Technologies and Platforms to Aid Digitalization of Commercial Aviation Support, Maintenance and Health Management

The civil aircraft health management system is being attached more and more importance to improve the effectiveness of the maintenance and decrease probability of the occurrence of catastrophic incidents. The airborne quick access recorder (QAR) recording the information of aircraft position, status and performance parameters becomes significant to the study. This paper introduces the QAR data feature and its application and then proposes to utilize the QAR data for fault diagnosis and condition assessment of typical airborne system. In one case, the diagnosis of environment control system (ECS) heat exchanger is achieved by digging the relationship between the corresponding QAR parameter and failure mode. In another case, the self-organizing map (SOM) is used to map the corresponding QAR parameter into a confidence value (CV) which represents the health state of hydraulic system. The experimental results demonstrate that the proposed method is reliable and pragmatic.

/pdf/fault-diagnosis-and-condition-assessment-techniques-for-347x8dnrrd.pdf

Fault diagnosis and condition assessment techniques for airborne system based on QAR data

Based on the civil aircraft hydraulic system, the typical slow-change fault injection is carried out in hydraulic system MWorks model, and the fault state assessment technology based on Gaussian mixture model is studied. The results show that the health curve of the Gaussian mixture model can truly reflect the system pressure abnormal deviation process, and the health confidence value obtained by the inverse tangent function normalization is more sensitive to the early failure process of the fault, which can better support the predictive maintenance.

Fault Assessment of Hydraulic System Based on Gaussian Mixture Model

This is a showcase of system engineering design process applied on commercial aircraft health management. Different from normal NRFP design, this paper uses a NFRP process which is from COMAC’s experience more fit for commercial aircraft design. The health management function is new compare to other functions in a commercial aircraft and it is a comprehensive concept formed bottom up from a collection of subfunctions/hardware. The future evolution may come from a top down design to look at it from new perspective. The design process starting from stake holder identification, followed by functional analysis and requirement capture. Some parts of the work have been done in separate paper. This top down design process keeps requirements traceable and can get better understanding of working scenario of aircraft health management system thus helps generate new applications and sub functions.

A Design of Commercial Aircraft Health Management Using N-F-R-P Process.

Under the background of the rapid development of new energy, the increasing uncertainty of power grid operation, the urgent need for rapid fault risk disposal capability for dispatching operation, and the difficulty in meeting the requirements of the existing manual preparation plan, this paper comprehensively considers the power grid risks in a variety of condition, and based on the online real-time data of the power grid, proposes a method for online plan generation and display of strategy implementation results. This method overcomes the problems of single fault set construction mode, fuzzy fault disposal strategy description, not realizing quantitative analysis, unpredictable processing effect, and insufficient real-time of the plan, etc. The practical application shows that this method can effectively assist the dispatcher to take prevention and control measures in advance and improve the efficiency of accident disposal.

Multi condition fault risk analysis and online plan generation method

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