Digital Transformation in Manufacturing Systems: Improving Operations and Logistics
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 65
Special Issue Editors
Interests: ICT in transport and logistics; intelligent transport systems; multi-criteria decision-making techniques; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: operations research; data envelopment analysis; supply chain efficiency; transport and logistics; performance evaluation
Interests: logistics; transport; supply chain; multi-criteria decision making; sustainable engineering; fuzzy set; rough set; transport of dangerous goods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on "Digital Transformation in Manufacturing Systems: Improving Operations and Logistics" explores the rapidly evolving landscape of Industry 4.0 and its impact on manufacturing processes. With the increasing integration of Artificial Intelligence (AI), the Internet of Things (IoT), Cyber–Physical Systems (CPS), and Big Data Analytics, digital transformation is changing manufacturing, supply chain management, and logistics. This Special Issue will provide comprehensive insight into the introduction of smart technologies, their role in optimizing workflows, and the challenges associated with their implementation.
One key focus is improving efficiency, flexibility, and sustainability in manufacturing through the use of predictive analytics, automation, and digital twins. This Special Issue highlights cutting-edge research, case studies, and practical applications that illustrate how digitalization is fostering resilient, adaptive, and intelligent ecosystems in manufacturing.
This Special Issue will complement the existing literature by providing an updated perspective on real-world applications, policy implications, and future research directions. It is a valuable reference for academics, industry professionals, and policy-makers who want to fully realize the potential of digital transformation in manufacturing and logistics.
Dr. Evelin Krmac
Dr. Mozhgan Mansouri Kaleibar
Dr. Željko Stević
Guest Editors
Manuscript Submission Information
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Keywords
- digital transformation
- smart manufacturing
- Industry 4.0
- artificial intelligence (AI)
- Internet of Things (IoT)
- big data analytics
- supply chain optimization
- predictive maintenance
- Logistics 4.0
- cyber–physical systems (CPS)
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