## 1 Introduction  
The most popular topic within industrial firms, research centers, and universities [1]. Indeed, several studies have revealed and detailed the enabling technologies of Industry X.0, such as the Internet of Things, big data, artificial intelligence, modeling and simulation, 3D printing, and virtual reality [5, 6, 7]. The strength of these technologies, which has popularized Industry X.0, is their capacity to combine the physical world with the virtual with real-time interaction, allowing smart factories to coexist harmoniously with humans [8]. Furthermore, digitalization also ensures product customization, a better control and visualization of work results [9], and real-time product testing in a virtual environment considering real production constraints [10]. So far, research has shown that the three main sectors actively involved in the digitalization concept are the automotive, aerospace, and food industries [5].  
In addition, Industry X.0 technologies are also used to support the evolution of lean manufacturing tools and principles [11]. As a result, many researchers have advanced the complementarity between both concepts: lean principles ensure waste elimination and standardization for a smooth implementation of Industry X.0 technologies when Industry X.0 allows the smartening and development of lean manufacturing tools [12]. The most popular applications of this fusion (Lean 4.0 [13]) are TPM 4.0, Kaizen 4.0, Kanban 4.0, automated guided vehicles (AGV), and Just-In-Time 4.0 [14, 15, 16, 12].  
Industry X.0 technologies have played an important role in developing the resilience of manufacturing companies, especially during the COVID-19 pandemic, through smart manufacturing practices, flexibility, reliability, robustness, and responsiveness. Through a survey with responders from various sectors, it was proven that flexible and innovative practices enabled by Industry X.0 led to a novel reconfiguration of manufacturing processes and products (volume/diversity) [17]. Moreover, Industry X.0 is an important contributor to industrial innovation, sustainability, and increased environmental, social, and economic efficiency. For example, artificial intelligence and machine learning can be used to identify solutions for environmental issues, such as waste control, resource optimization, carbon neutrality, etc. [18, 19]. Furthermore, the numerous sustainable aspects of the IndustryX.0 concept include the substitution of paperwork by digital electronic devices, smart grids, green energy management, reducing energy consumption through IoT technology, the usage of modeling software to optimize buildings, conserving materials and waste reduction through 3D printing, and the adoption of photovoltaic systems [20]. Finally, digitalization has resulted in people changing their ways of thinking about and managing their factories, highlighting the innovative aspects of Industry X.0. In fact, it provides opportunities to create new and more individualized products [21], new ways of interaction, a better understanding of customers' needs, smart goods and services, etc. [22].  
Nevertheless, these technologies, as promising as they are, bring radical changes from the manufacturing to the organizational side. Their implementation comes with various challenges and barriers, mostly related to investment (cost and return on investment) and peoples' culture. Indeed, numerous companies still cannot afford to implement this new concept, not only because of its cost and implementation lead-time [23] but also due to a lack of financial support. Finally, from a cultural point of view, the reorientation towards digitalization and the use of Industry X.0 technologies requires the adoption of a spirit open to change [24].  
The authors declare no conflict of interest.