Leveraging AI in Industry 4.0: Overcoming Challenges and Seizing Opportunities for Sustainable Operations Management
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 January 2025 | Viewed by 60
Special Issue Editors
Interests: engineering 4.0; mechanical industrial systems
Interests: industrial sustainability; digital manufacturing; supply chain management; performance management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The advent of the fourth industrial revolution has introduced a series of innovative technologies, with artificial intelligence (AI) playing a pivotal role in redefining how companies manage their operations and drive sustainability. The following Special Issue aims to explore Industry 4.0 in depth within the field of operations management, focusing on AI-driven technological innovations and emerging trends shaping the future of industries toward sustainable practices.
Authors are encouraged to contribute original articles delving into topics such as:
- The implementation and integration of AI with other Industry 4.0 technologies in operational processes, including the IIoT, big data analytics, cloud computing, augmented reality and CPS, with an emphasis on sustainability.
- The applications of AI with advanced technologies such as 3D printing, CNC, collaborative robotics and intelligent automation to enhance efficiency, flexibility and sustainability in production processes.
- The development of innovative, AI-enabled business models facilitated by Industry 4.0, such as servitization, distributed manufacturing, smart factories and their contributions to sustainability.
- The impact of AI in Industry 4.0 on the design and management of supply chains, including product traceability, visibility along the entire distribution chain and sustainable practices.
- Challenges and solutions in adopting AI within Industry 4.0 technologies, including workforce training, cybersecurity, organizational change management and strategies for achieving sustainability goals.
The following Special Issue aims to provide a comprehensive overview of the latest research and best practices in the field of AI within Industry 4.0 in operations management, promoting debate and knowledge exchange among academics and industry professionals internationally, with a strong focus on sustainability.
Dr. Marco Mosca
Prof. Dr. Flavio Tonelli
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sustainability
- artificial intelligence
- Industry 4.0
- operations management
- IIOT
- CPS
- automation
- robotics
- digital transformation
