Special Session Title: Supply Chain Management

This Special Session will focus on development of novel emerging technologies to improve the current methodologies in logistics and supply chain sector. We aim to gain a deeper understanding of how the adoption of emerging technologies helps companies to enhance responsiveness, resilience, and restoration in supply chains. We invite researchers working on practical use-cases of emerging technologies in supply chain.

Potential topics:

We are looking for research papers based on experimental or theoretical novel contributions related to supply chain management including, but not limited to, the following:

Machine Learning for supply chain

Big Data analytics in supply chain

Product forecasting

Planning product assortments and recommendation

Dynamic resource allocation

Using browsing and/or sensor data to manage inventory and replenishment

Strategies to improve supply chain operations

Vehicle loading, routing, and monitoring safety (optimization that incorporates real-time data)

Managing and mitigating supply chain risk

Supplier risk assessment, evaluation, and supplier portfolio development

Managing after-sales service


Paper submission deadline: 28 Novmber 2021

Acceptance notification: 15 December 2021

Submission of camera ready: 30 December 2021

Registration: 30 December 2021

Paper Submission: Authors are invited to submit original research contributions not concurrently submitted elsewhere (Submission system). Normal length papers should be 8-10 pages, formatted in Springer’s single column format (http://www.icbiit.com/downloads/Templates.zip).

Submitted papers will be refereed by at least two reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email.

Proceedings: All accepted conference papers will be presented at the conference and included in the published proceedings.

SCIE Journal Publication: The papers presented at the conference will be recommended for appropriate SCIE index journal after revision.

Email Submission: sci@icbiit.com