The Impact of New Technology on Society and Workforce in Production in the Era of Industry 4.0

The industrial revolution, which took place in the 20th century, is the first step of similar developments in the ongoing centuries. In the first steps of this century, the use of steam machines in production is the first steps of a more serial and systematic production structure. With the advancing developments up to the industrial revolution or Industry 4.0, a structure quite different from the initial stage was formed. In the most general sense, the Industry 4.0 structure, defined as the internet of objects, emerges with a more systematic and self-functioning structure discourse in its production activities, but its effects are not only related to production activities. As a matter of fact, the use of Industry 4.0 at the point reached, human resources, employment, social classes, communities, and so on. It is thought to be effective on the structures. In this context, in this study, the effects of the social impacts of these processes and the ways in which Industry 4.0 can create a social structure have been explained.

Innovation Capability for SME Biomass Industry Performance

Industry 4.0 exerts great pressure on the organization today to innovate its business model in order to stay competitive. This study examines the positive and indirect effect of human resource management, organizational culture, knowledge management capabilities on organizational performance, with the mediating effect of organizational innovation capability among small and medium-sized enterprise (SME) in biomass industry in Malaysia. In addition, this study integrates resource-based view (RBV) and dynamic capabilities theories to investigate how the organization utilize its resources and capabilities to enhance organizational performance. Data were collected using survey questionnaire from biomass SMEs located in Malaysia. Structural equation modelling (Smart PLS 3.0) was used to test and analyze the data. The findings reveal that knowledge management capability and organizational culture exert a positive influence on organizational innovation capabilities. Similarly, organizational innovation capabilities also found to positively affect organizational performance.

Integration of Industry 4.0 for Advanced Construction Project Management

The construction industry is facing the increasing process of integration of Industry 4.0 in all phases of the construction project lifecycle. Its exponential growth has been detected in research efforts focused on the usage of the building information modeling (BIM) as one of the most breakthrough innovative approaches in the construction (AEC) industry. BIM brings many advantages as well as changes in the existing construction practice, which allows for adjustment of processes in the most automated possible way. The goal in the design phase is to create a comprehensive BIM model that combines the data of all project participants and represents a digital model of a future building. In the construction phase, the monitoring and controlling the work progress is one of the most important and difficult tasks, and it is today still mostly done manually. Currently, more research and actual implementations are oriented towards the introduction of the automated construction progress monitoring (ACPMon). All of this is the basis for advanced construction project management (ACPMan).

Technologies for Industry 4.0 Data Solutions

One of the main objectives of Industry 4.0 (I4.0) is to generate new opportunities based on the convergence of traditionally isolated technologies such as industrial control systems (ICSs) and information and communication technology (ICT). This presents new opportunities to take advantage of ICT technologies to develop new applications and services related to industrial processes. However, there are a variety of requirements and constraints that must be addressed for the attainment of this purpose. Moreover, the large amount of existing technologies and tools that can cope with these requirements makes the definition and selection of a solution a cumbersome task for traditional industrial workers with a non-ICT focused background. This chapter analyses and describes the main requirements and technologies required to provide a data-based Industry 4.0 solution.

Laser Additive Manufacturing in Industry 4.0

Additive manufacturing is one of the nine technologies fuelling the fourth industrial revolution (Industry 4.0). High power lasers augmented with allied digital technologies is changing the entire manufacturing scenario through metal additive manufacturing by providing feature-based design and manufacturing with the technology called laser additive manufacturing (LAM). It enables the fabrication of customized components having complex and lightweight designs with high performance in a short period. The chapter compiles the evolution and global status of LAM technology highlighting its advantages and freedoms for various industrial applications. It discusses how LAM is contributing to Industry 4.0 for the fabrication of customized engineering and prosthetic components through case studies. It compiles research, development, and deployment scenarios of this new technology in developing economies along with the future scope of the technology.

Secure Cyber-Physical Systems for Improving Transportation Facilities in Smart Cities and Industry 4.0

The main aim of this strategic research proposal is to develop a model of secure transportation system using efficient CPS which not only reduce the unnecessary accident rates but also increase safety system that enhances the livability of smart cities and Industry 4.0. Although the main focus is efficient security solutions, dynamic and intelligent approaches of the future security solutions will be able to detect the evolving threats and cyberattacks during the data or signal transmission between the users and service providers.

Opportunities, Challenges, and Solutions for Industry 4.0

Industry 4.0 (I4.0) is the fourth industrial revolution sweeping through the world of manufacturing. This revolution integrates the current trend of intelligent automation with internet of things (IoT), big data, and artificial intelligence to bring about extraordinary technological innovation, economic growth, and tremendous progress to organizations of all shapes and sizes, on a magnitude beyond the current imagination. The disruptive technologies introduced by I4.0 represent a leap forward from more traditional automation to next generation industrial production based on fully web-based cyber-physical systems (CPS)s. To full understand the I4.0 concept and implementation, this chapter makes an in-depth analysis on the issues and controversies of I4.0, recent technological advancement, management and organizational concerns in terms of opportunities and threats, capital investment and skillsets, cybersecurity threat, ethics consideration, current challenges facing organizations and industry in terms of geopolitical domination, economic and social disenfranchisement, job destruction and job creation, the roles of multinational corporations, lack of technologies capabilities, lack of skillset, and skill mismatches. This chapter also makes suggestions for solutions and recommendations in terms of the role of government and incentives and grants; assessment tools; collaboration; the development of local companies and small and medium-sized enterprises (SMEs); upskilling, reskilling, and lifelong learning; education; universities and students; skilled graduates; and future research and directions.

A Comprehensive Study on Internet of Things Based on Key Artificial Intelligence Technologies and Industry 4.0

Under uncertainty, understanding and controlling complex environments is only possible with an ability to use distributed computing by the way of information exchange between devices to be able to understand the response of the system to a particular problem. From transformation of raw data in a huge distribution of network into the meaningful information, to use the understood knowledge to make rapid decisions needs to have a network composed of smart devices. Internet of things (IoT) is a novel approach, where these smart devices can communicate with each other by using key technologies of artificial intelligence (AI) in order to make timely autonomous decisions. This emerging technical advancement and realization of horizontal and vertical integration caused the fourth stage of industrialization (Industry 4.0). The objective of this chapter is to give detailed information on both IoT based on key AI technologies and Industry 4.0. It is expected to shed light on new work to be done by providing explanations about the new areas that will emerge with this new technology.

Industry 4.0 and Supply Chain Management

The association of Industry 4.0 and supply chain management assures tremendous growth and developmental opportunities towards manufacturing organizations. The two aspects (Industry 4.0 and supply chain management) are one of the most opted choices for research among academicians and researchers. The study in question accommodates 884 papers from past 10 years, which contributes towards Industry 4.0, supply chain management, cyber-physical systems, digitization, Internet of Things, and Big Data predictive analytics. The statistical tools include BibExcel and Gephi for bibliometric and network analysis. The results are presented in the form of top contributing authors, keywords, and citations. The article also shares a conceptual model based on the review of studies. The findings will help managers or officials to understand the importance of Industry 4.0 and its association with supply chain management. The formed clusters and their associations are providing new areas that require managerial attention. The article ends while discussing the current and future scope of research.

Industry 4.0 in Pumping Applications

This chapter addresses the so-called Industry 4.0 and some of its applications in industrial pumps, seeking to emphasize its characteristics and benefits. The introduction of 4.0 industry technologies in this traditional industry can cause profound changes in existing business models, providing greater customer satisfaction, either improving the effectiveness of equipment operation, contributing to better adjustment to working conditions, and also prolonging their life cycle. We are still in the early stages of these technologies and a lot is yet to evolve; however, there are already interesting examples developed by some pump manufacturers around the world, some of which will be mentioned in this chapter. It is subdivided into three main parts, namely brief historical panorama from the first industrial revolution to Industry 4.0, current applications in the industrial pump industry, and finally, future research directions and conclusion.