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Editorial

New Innovation, Sustainability, and Resilience Challenges in the X.0 Era

1
MIS-LISTD Laboratory, Computer Science Department, Mines Rabat School (ENSMR), Rabat 10000, Morocco
2
Department of Chemical, Materials, and Production Engineering, University of Naples Federico II, 80125 Naples, Italy
*
Authors to whom correspondence should be addressed.
Appl. Syst. Innov. 2023, 6(2), 39; https://doi.org/10.3390/asi6020039
Submission received: 21 February 2023 / Revised: 3 March 2023 / Accepted: 8 March 2023 / Published: 13 March 2023
(This article belongs to the Special Issue New Challenges of Innovation, Sustainability, Resilience in X.0 Era)
Facing a constantly evolving industry and customers that are becoming more fastidious, companies are seeking to adapt their manufacturing methods to meet market demands [1]. Industry X.0 is the most responsive approach for companies to ensure competitiveness. We are currently talking about “Industry 4.0”and 5.0, and there will probably be 6.0, and so on. The term “Industry X.0” was coined to generalize this concept, ensuring future digital continuity and combining transformation efficiency with research.
Industry X.0 is a paradigm that first saw light in Germany during the Hanover fair, which was held in 2011 under Industry 4.0 (or the fourth industrial revolution) [1,2,3]. This revolution aimed to introduce new smart technologies to help industries ensure the smart aspects of their factories, improve their performance, and create an innovative, sustainable, and resilient environment.
The Industry 4.0 concept is currently the most popular topic within industrial firms, research centers, and universities [4]. 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 [12,14,15,16].
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 Industry X.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].

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rojko, A. Industry 4.0 Concept: Background and Overview; iJIM; ECPE European Center for Power Electronics e.V.: Nuremberg, Germany, 2017; Volume 11, No. 5. [Google Scholar]
  2. Marzano, G.; Martinovs, A. Teaching Industry 4.0. Society. Integration. Education. In Proceedings of the International Scientific Conference, Rēzekne, Rēzekne, Latvija, 22–23 May 2020; Volume 2. [Google Scholar]
  3. Kagermann, H.; Wahlster, W.; Helbig, J. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0; Final Report of the Industrie 4.0 WG; Acatech: Munich, Germany, 2013. [Google Scholar]
  4. Liao, Y.; Deschamps, F.; Loures, E.D.F.R.; Ramos, L.F.P. Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal. Int. J. Prod. Res. 2017, 55, 3609–3629. [Google Scholar] [CrossRef]
  5. Gallab, M.; Bouloiz, H.; Kebe, S.A.; Tkiouat, M. Opportunities and challenges of the industry 4.0 in industrial companies: A survey on Moroccan firms. J. Ind. Bus. Econ. 2021, 48, 413–439. [Google Scholar] [CrossRef]
  6. Sishi, M.; Telukdarie, A. Implementation of Industry 4.0 technologies in the mining industry—A case study. Int. J. Min. Miner. Eng. 2020, 11, 1–22. [Google Scholar] [CrossRef]
  7. Frank, A.G.; Dalenogare, L.S.; Ayala, N.F. Industry 4.0 technologies: Implementation patterns in manufacturing companies. Int. J. Prod. Econ. 2019, 210, 15–26. [Google Scholar] [CrossRef]
  8. Wagner, T.; Herrmann, C.; Thiede, S. Industry 4.0 Impacts on Lean Production Systems. Procedia CIRP 2017, 63, 125–131. [Google Scholar] [CrossRef]
  9. Gajsek, B.; Marolt, J.; Rupnik, B.; Lerher, T.; Sternad, M. Using Maturity Model and Discrete-Event Simulation for Industry 4.0 Implementation. Int. J. Simul. Model. 2019, 18, 488–499. [Google Scholar] [CrossRef] [PubMed]
  10. Lima, F.; Nogueira de Carvalho, C.; Acardi, B.S.; Gomes dos Santos, E.; Bastos de Miranda, G.; Maia, R.F.; Massote, A.A. Digital manufacturing tools in the simulation of collaborative robots: Towards Industry 4.0. Braz. J. Oper. Prod. Manag. 2019, 16, 261–280. [Google Scholar] [CrossRef] [Green Version]
  11. Marinelli, M.; Deshmukh, A.A.; Janardhanan, M.; Nielsen, I. Lean manufacturing and Industry 4.0 combinative application: Practices and perceived benefits. IFAC-PapersOnLine 2021, 54, 288–293. [Google Scholar] [CrossRef]
  12. Naciri, L.; Mouhib, Z.; Gallab, M.; Nali, M.; Abbou, R.; Kebe, A. Lean and industry 4.0: A leading harmony. Procedia Comput. Sci. 2022, 200, 394–406. [Google Scholar] [CrossRef]
  13. Schwab, K. The Fourth Industrial Revolution: What It Means, How to Respond; World Economic Forum: Davos, Switzerland, 2016. [Google Scholar]
  14. Kolberg, D.; Zühlke, D. Lean Automation enabled by Industry 4.0 Technologies. IFAC-PapersOnLine 2015, 48, 1870–1875. [Google Scholar] [CrossRef]
  15. Mayr, A.; Weigelt, M.; Kühl, A.; Grimm, S.; Erll, A.; Potzel, M.; Franke, J. Lean 4.0—A conceptual conjunction of lean management and Industry 4.0. Procedia CIRP 2018, 72, 622–628. [Google Scholar] [CrossRef]
  16. El Abbadi, L.; El Manti, S.; Houti, M.; Elrhanimi, S. Kanban System for Industry 4.0 Environment. Int. J. Eng. Technol. 2018, 7, 60–65. [Google Scholar]
  17. Bianco, D.; Bueno, A.; Filho, M.G.; Latan, H.; Ganga, G.M.D.; Frank, A.G.; Jabbour, C.J.C. The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19. Int. J. Prod. Econ. 2023, 256, 108728. [Google Scholar] [CrossRef]
  18. Tiwari, K.; Khan, M.S. Sustainability accounting and reporting in the industry 4.0. J. Clean. Prod. 2020, 258, 120783. [Google Scholar] [CrossRef]
  19. Javaid, M.; Haleem, A. Industry 4.0 applications in medical field: A brief review. Cur. Med. Res. Pract. 2019, 9, 102–109. [Google Scholar] [CrossRef]
  20. Javaid, M.; Haleem, A.; Singh, R.P.; Suman, R.; Gonzalez, E.S. Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustain. Oper. Comput. 2022, 3, 203–217. [Google Scholar] [CrossRef]
  21. Arnold, C.; Kiel, D.; Voigt, K.I. How the industrial internet of things changes business models in different manufacturing industries. Int. J. Innov. Manag. 2016, 20, 1640015. [Google Scholar] [CrossRef]
  22. Ibarra, D.; Ganzarain, J.; Igartua, J.I. Business model innovation through Industry 4.0: A review. Procedia Manuf. 2018, 22, 4–10. [Google Scholar] [CrossRef]
  23. Qin, J.; Liu, Y.; Grosvenor, R. A Categorical Framework of Manufacturing for Industry 4.0 and beyond. Procedia CIRP 2016, 52, 173–178. [Google Scholar] [CrossRef] [Green Version]
  24. Charle, P. Industry 4.0: The Connected Factory, 9th ed.; Gimélec: Paris, France, 2013. [Google Scholar]
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MDPI and ACS Style

Gallab, M.; Di Nardo, M. New Innovation, Sustainability, and Resilience Challenges in the X.0 Era. Appl. Syst. Innov. 2023, 6, 39. https://doi.org/10.3390/asi6020039

AMA Style

Gallab M, Di Nardo M. New Innovation, Sustainability, and Resilience Challenges in the X.0 Era. Applied System Innovation. 2023; 6(2):39. https://doi.org/10.3390/asi6020039

Chicago/Turabian Style

Gallab, Maryam, and Mario Di Nardo. 2023. "New Innovation, Sustainability, and Resilience Challenges in the X.0 Era" Applied System Innovation 6, no. 2: 39. https://doi.org/10.3390/asi6020039

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