Challenges and Future Trends of Industry 4.0
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 20725
Special Issue Editors
Interests: entrepreneurship; high-tech entrepreneurship; start-ups; spin-offs; technology transfer
Interests: Industry 4.0; innovation intermediaries; innovation ecosystems; health
Interests: CSR; ethics;stakeholder engagement; marketing; communication; sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on I4.0 trends and challenges wants to bring new light to the complex phenomenon of Industry 4.0.
I4.0 emphasizes the prominence of data collection and exchange throughout the value chain [1] by introducing production systems that are increasingly intelligent, autonomous, and automated [2].
I4.0 can be seen as the integration of information and communications technologies (ICT) with industrial technology [3]. The main technologies are cyber-physical systems (CPSs), Internet of things (IoT), robotics, big data, cloud manufacturing, and augmented reality. These enabling technologies are used to improve products and processes, increase efficiency and productivity, reduce costs, and increase customer satisfaction [4,5]. The benefits that firms can capture from the adoption of an I4.0 approach include greater flexibility and speed from prototype to series production; increased productivity due to shorter set-up times, reduced errors and machine downtime; better quality; and less waste [6]. Moreover, accidents can be prevented by integrating I4.0 technologies into safety management systems [7,8].
The topics of the Special Issue include:
- The capability of enabling technology to contribute to sustainability at environmental, managerial, and social levels;
- The relationship between workers and machines;
- Integration of additive manufacturing in smart factories;
- Manufacturing processes integrated with sensor data;
- Manufacturing data analysis and diagnostics for real-time reporting;
- New human–machine interface and communication technologies;
- Cyber–physical systems for the design and operation of smart manufacturing facilities;
- Use of cloud, distributed and digital manufacturing paradigms in cyber–physical systems;
- Industry 4.0 applications for COVID-19.
We would like to see profound and rigorous theoretical, managerial and policy contributions that I4.0 advance and challenge existing theories used in global management and business research, performance and competitive advantage.
We have no a priori preferences regarding the theoretical stance or methodological approach. We welcome papers using traditional methodologies, survey, qualitative research as well as emerging innovative approaches including the use of algorithms, contrarian case analysis and fuzzy set qualitative comparative analysis (fsQCA).
The articles must be able to clearly demonstrate a significant contribution to management and applied economics scholarship.
All manuscripts should apply the general author guidelines for Sustainability.
References
- Schwab, K. The Fourth Industrial Revolution; Crown Business: New York, NY, USA, 2017.
- Rojko, A. Industry 4.0 Concept: Background and Overview. Int. J. Interact. Mob. Technol. (iJIM) 2017, 11, 77–90.
- Zhou, K.; Liu, T.; Zhou, L. Industry 4.0: Towards future industrial opportunities and challenges. In Proceedings of the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Zhangjiajie, China, 15–17 August 2015; pp. 2147–2152.
- Schumacher, A.; Erol, S.; Sihn, W. A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP 2016, 52, 161–166.
- Fatorachian, H.; Kazemi, H. A critical investigation of Industry 4.0 in manufacturing: Theoretical operationalisation framework. Prod. Plan. Control 2018, 29, 633–644.
- Mckinsey & Company. Coronavirus: Industrial IoT in Challenging Times 2020. Available online: https://www.mckinsey.com/industries/advanced-electronics/our-insights/coronavirus-industrial-iot-in-challenging-times
- Di Nardo, M.; Madonna, M.; Murino, T.; Castagna, F. Modelling a Safety Management System Using System Dynamics at the Bhopal Incident. Appl. Sci. 2020, 10, 903.
- Lepore, D., Micozzi, A., Spigarelli, F. (2021), Industry 4.0 Accelerating Sustainable Manufacturing in the COVID-19 Era: Assessing the Readiness and Responsiveness of Italian Regions. Sustainability 2021, 13, 2670.
Dr. Alessandra Micozzi
Dr. Dominique Lepore
Dr. Maria Palazzo
Guest Editors
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Keywords
- Industry 4.0
- new technology
- inclusion
- smart factory
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