Hybrid Modeling and Digital Twins in Supply Chain Management
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 218
Special Issue Editors
Interests: digital twins; simulation; hybrid modeling; supply chain management
Interests: modelling; simulation; sustainable manufacturing; productivity; supply chains
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The complexity of supply chains has grown due to globalization, rising consumer expectations, increased regulatory requirements, heightened disruption, and the push for sustainability, to name a few. Digital twins, tailored to mimic these complexities, have emerged as a pivotal component of contemporary supply chain management. The effective development of a digital twin is unachievable without leveraging hybrid modeling techniques. Hybrid models provide the foundation for the optimal design and dynamic control of supply chains, ensuring efficiency and resilience.
This Special Issue will focus on recent theoretical and computational studies of hybrid modeling within supply chain digital twin frameworks. Topics include, but are not limited to, the following:
- Hybrid simulation modeling;
- Simulation–optimization modeling;
- Simulation–machine learning modeling;
- Simulation–machine learning–optimization modeling;
- Multiscale modeling;
- Conceptual models illustrating the role of hybrid modeling in the development of supply chain digital twins;
- Case studies and practical applications of hybrid modeling within supply chain digital twins.
Dr. Ehsan Badakhshan
Prof. Dr. Peter David Ball
Guest Editors
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Keywords
- digital twin
- supply chain
- hybrid modeling
- simulation
- optimization
- machine learning
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