Overcoming Obstacles in the Advancement of Industry 5.0 With the Digital Innovation

Introduction

Since the first Industrial Revolution, also known as Industry 1.0, technological breakthroughs have persisted. The 1870s saw the beginning of Industry 1.0, the phase of industrial development that preceded Industry 5.0. Then, Industry 2.0 was represented by assembly lines that used electrical energy and mass production. Transistors and microprocessors marked the beginning of the Industry 3.0 period in the 1970s. Information technologies and electronics played a major role in this era by integrating automation into manufacturing lines. Thusly, the Industry 4.0 times have been worked with by the Internet of Things (IoT), cloud computing, and AI. Subsequently, it is currently conceivable to make ongoing points of interaction among the virtual and actual universes (Mourtzis, 2016; ElMaraghy et al., 2021). Products and administration quality, as well as productivity, have expanded because of these headways (Rüßmann et al., 2015). Innovation is the main thrust behind Industry 4.0, which conceptualizes the new, quick changes in innovation and the development of new businesses with advancing social cycles and examples.

The development of the Industry 4.0, brought about extremist changes to the techniques by which modern cycles are directed. Digital technology integration, data-driven decision-making, and increased automation are characteristics of Industry 4.0. Conversely, Industry 5.0 is a development that prioritises highly adaptive manufacturing systems, customised production, and human-machine collaboration (Mirghaderi et al., 2023; Majeed et al., 2021). With each representing a distinct technological paradigm, Industry 4.0 and Industry 5.0 have drastically changed the manufacturing scene. Big data computing has made significant strides as a result of these revolutions, and it is now essential for streamlining industrial processes, increasing productivity, and preserving product quality (Culaba et al., 2023; Khan et al 2020; Zhou et al., 2023). These changes directly led to the emergence of these advancements. The manufacturing industry will be greatly impacted by the confluence of Industry 4.0 and Industry 5.0 with the processing of massive volumes of data.

Industry 4.0's supply chain is entirely focused on technology, while Industry 5.0's supply chain strikes the ideal balance between technology and people (Aslam et al., 2020). For increased productivity and optimised work, Industry 5.0 employs a more sophisticated version of the technology utilised by Industry 4.0 (Giri et al., 2019). The developments that occurred during each industrial revolution had an impact on a wide range of industries. For instance, in the manufacturing sector, during the first industrial revolution, stream power was used to run the machinery; however, when the second industrial revolution began, electricity became the primary focus, which simplified the manufacturing process. 3.0 The internet and computers made it possible to outsource and acquire clients; later, industry 4.0 introduced advanced technologies like artificial intelligence, which caused machines to begin thinking like humans and performing tasks independently, instilling fear in people about their job security. However, industry 5.0's primary goal is to foster positive human-machine collaboration and make the manufacturing effective (Slavic, 2023).

The internet of medical things (IoMT) is often connected to smart healthcare systems, giving you access to a number of smart gadgets that are crucial to your families and your own health.

An IoMT-based smart prediction system (Siddiqui et al., 2021) for breast cancer is powered by deep learning. Previous studies have also employed fused machine learning approaches to predict energy consumption and diabetes, as well as human diseases (Ahmed et al., 2022; Alzaabi, 2021; Ihnaini et al., 2021).