Bibliometric Review on Industry 4.0 in Various Sites: Online Blogs and YouTube

Bibliometric Review on Industry 4.0 in Various Sites: Online Blogs and YouTube

DOI: 10.4018/978-1-6684-8145-5.ch008
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Abstract

This work focuses on Industry 4.0 and the contemporary tendencies that it has spawned. The readers gain knowledge on what Industry 4.0 is, how it affects current manufacturing technologies, and its potential in the future. The authors improve comprehension of the effects imposed by Industry 4.0 by using a bibliometric method. Using web-scraping Python code and the YouTube Data API, this is accomplished using randomly selected 45–50 YouTube videos and 25–30 Medium blogs. Spreadsheets are used to organize the information that the web scraping programme has obtained. Following data organization, it is divided with the parameters serving as the key based on how well they coincide with the outcomes. To improve visualization, the results can be shown in a variety of graphs. The knowledge linked to Industry 4.0 that is provided in blogs and videos will provide readers with a better understanding of its impact.
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Introduction

Technology is used in Industry 4.0 to provide real-time data for a variety of applications. The manner that many industries run their operations and carry out their responsibilities has changed as a result of this technology, which is mostly employed in industrial communication. The majority of industries have now begun to employ Industry 4.0 technological implementations, from small and medium-sized businesses (SMEs) to multinational corporations (MNCs). Using the data tools covered in this chapter, the writers would describe Industry 4.0 and related terminology. Industry 4.0 was first started in Germany and has received a lot of attention in recent literature. The economy has incorporated modern industrial growth for several hundred years. The notion of industrial manufacturing underwent a significant upheaval with the advent of Industry 4.0. The invention of mechanical production facilities using steam and water power in the 18th century marks the beginning of industry. The second industrial revolution, which began at the turn of the 20th century, was built over the course of a century. It entailed massive labor output that was based on labor production. The third industrial revolution got its start in the 1970s, and its hallmark was automatic production based on electronics and internet technology. The fourth industrial revolution, often known as Industry 4.0, is the most recent one. The main objectives of Industry 4.0 are to increase operational productivity and efficiency. It also strives to achieve a fully automated environment in an industry by automating at a higher degree than what is currently being done in the sector. These objectives and characteristics of Industry 4.0 are frequently closely tied to cutting-edge algorithms and internet technologies. These also contribute to the idea that Industry 4.0 is an industrial process of knowledge management and value addition. In order to demonstrate how Industry 4.0-related technology is used in contemporary manufacturing processes and industrial practices, the authors emphasize an analysis-based study using the data gathered from YouTube and Medium. Additionally, a number of analogies and visualizations are provided so that readers may quickly grasp the description's context. In this chapter, numerous methods of data interpretation and visualization are used. The offered illustrations and images can be used by the readers to gain rapid understanding. The structure of this chapter ensures that the procedures for data collection, organization, classification, analysis, and result extraction are carried out in a systematic manner. The authors have only focused on sporadic blogs and videos to check the quality of the content offered by the platforms, as the readers can see. Another crucial component of this study is the classification of users according to their level of skill. However, the authors are limited to the feedback, keywords, and comments made in the blogs and videos. This chapter focuses on explaining to the readers the terminology and ideologies associated with Industry 4.0. Using YouTube and Medium as the main data sources, a variety of data is gathered and examined to determine how Industry 4.0 will affect the industrial revolution. This chapter's major goal is to demonstrate how industries using Industry 4.0 technologies have evolved and to assure current trends, impacts, and tendencies.

Key Terms in this Chapter

Quantum Computing: Computation technique that implements the quantum mechanics phenomena.

Augmentation: Addition and expansion of current dimensions to another dimension for better visualization.

Uptime: Time during which the machine provides maximum output by proper operative procedures.

Supply Chain: From the product manufacturing stage to product delivery stage the sequence of activities and individuals involved makes a supply chain.

Digitalization: Proper usage of digital technologies to invoke a change in an organization to provide a better revenue and more opportunities for improvement.

Economy: A production area in which manufacturing process and production along with supply chain work inter-dependently to provide finished products to the society.

Downtime: Time during which an operation is not carried out in a machine due to some failure or maintenance repairs.

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