Supply Chain Analytics

Aims & Scope

Firms from all industries operate within complex global supply chains since today's business activities are fragmented among many dispersed partners.

These supply chains are fragile and exposed to various risks and threats, requiring advanced risk management and resilience competencies.

Data is the lifeblood of a supply chain.

Digitization and analytics are vital in monitoring real-time data, predicting future patterns, and quickly responding to unforeseen events.

Supply chain analytics can help companies adapt in real-time to shifting customer demand caused by disruptions.

Analytics can drive significant operational efficiencies by providing visibility into supply chains.

Supply chain analytics collects, analyzes, and synthesizes data to provide insights into supply chain performance.

Supply chain managers must use data and analytics to transform their supply chain into a robust and resilient supply chain and create more opportunities to remain competitive and diversified.

Future supply chain managers should be digitally savvy.

They will be storytellers with the skills to dig into the countless layers of supply chain data to transform data into insight and make informed decisions.

The principal objective of Supply Chain Analytics is to provide state-of-the-art information for academic researchers, policymakers, and practitioners concerned with developing new methodologies and technologies to formulate and solve supply chain problems.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Mathematics, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 2,000.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.