Call for papers: Intelligent supply chain Collection

This Collection invites research using physical systems/models to validate improvements in supply chain resilience, efficiency, sustainability, and decision making.

Published in Mechanical Engineering

Call for papers: Intelligent supply chain Collection
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Collection Overview 

Scientific Reports has launched a Guest-Edited Collection on Intelligent supply chain.

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 will be a Collection of original research papers  and will be open for submissions from all authors – on the condition that the manuscripts fall within the scope of the Collection and of Scientific Reports more generally. Narrative review articles are also welcomed, to our sister journal Scientific Reviews. We are welcoming submissions until 28th January 2027.

Why is this Collection important?

"This Collection addresses emerging challenges and innovative developments that are shaping the future of research in this field. I believe this topic is highly relevant because it connects theoretical advancements with practical applications that can influence industry, policy, and society. I am excited about this Collection because it creates a platform for interdisciplinary collaboration and encourages researchers to share impactful, forward-looking ideas. The Collection has the potential to stimulate new research directions and foster meaningful academic discussions. Researchers should submit to this Collection to showcase their work within a focused and globally visible platform that promotes high-quality and influential research."

- Dr. Jagannath Roy, Guest Editor

Why submit to a collection?  

Collections like this one help promote high-quality science. They are led by Guest Editors, who are experts in their fields, and In-House Editors and are supported by a dedicated team of Commissioning Editors and Managing Editors at Springer Nature. Collection manuscripts typically see higher citations, downloads, and Altmetric scores and provide a one-stop-shop on a cutting-edge topic of interest.  

Who is involved?

Guest Editors:

  • Irfan Ali,  Aligarh Muslim University, India
  • Vinay V Panicker, National Institute of Technology Calicut, India
  • Jagannath Roy, National Institute of Technology Warangal, India
  • Mehran Ullah, University of the West of Scotland, UK

Internal Team:

  • In-House Editor: Lingyi Xu, Scientific Reports, USA
  • Commissioning Editor: Louisa Beckett, Fully OA Brands, Springer Nature, UK
  • Managing Editor: Aliya Anwar, Fully OA Brands, Springer Nature, UK

How can I submit my paper?

Visit the Collection page for more information on the Collection, and how to submit your article.

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Industrial and Production Engineering
Technology and Engineering > Mechanical Engineering > Industrial and Production Engineering

Related Collections

With Collections, you can get published faster and increase your visibility.

Infectious disease diagnostics

This Collection welcomes original research into current challenges and advances within the field of infectious disease diagnostics.

Publishing Model: Open Access

Deadline: Sep 23, 2026

Healthy Aging

This collection welcomes submissions based on studying preclinical models, as well as population-wide and clinical studies. Studies that advance our understanding of mechanisms behind healthy aging are also welcomed. Clinical research of interest will include epidemiological studies, observational studies, longitudinal cohort studies, systematic reviews and clinical trials.

Publishing Model: Open Access

Deadline: Dec 31, 2026