Scientific Reports (Journal)

Description

Collection: Intelligent supply chain

Submission deadline: 28 January 2027

This Scientific Reports Collection welcomes original research on Geospatial data science and analysis. Narrative review articles are also welcomed, to our sister journal Scientific Reviews. For further information, please view the ‘Participating Journals’ below.

Modern supply chains are increasingly complex and uncertain, requiring advanced analytical and decision making methods. While data driven approaches support predictive and autonomous operations, they often face challenges in real world environments. Hybrid modelling that combines domain knowledge with physical or operational models can enhance analytical robustness and improve forecasting and real time decision making.
This Collection invites research using physical systems/models to validate improvements in supply chain resilience, efficiency, sustainability, and decision making.

Period	May 2026 → Jan 2027
Type of journal	Journal
ISSN	2045-2322
Degree of Recognition	International