Aims and scope

SN Operations Research Forum is a journal that serves the Operations Research community by addressing a broad range of topics, perspectives, methodologies, and industry applications to foster communication among academics and practitioners, theory and application, and a variety of disciplines (e.g., applied mathematics, computer science, business and economics, and engineering).

The journal covers the entire spectrum of topics, perspectives, methodologies, and industry applications in Operations Research, including, but not limited to:

  • Algorithms
  • Analytics
  • Artificial Intelligence
  • Computational Economics
  • Data Mining
  • Data Sciences
  • Discrete Mathematics
  • Financial Engineering
  • Forecasting
  • Linear Programming
  • Logistics
  • Optimization (Mathematical, Robust, Stochastic)
  • Machine Learning
  • Management Science
  • Mathematical Programming
  • Networks
  • Scheduling
  • Simulation
  • Supply Chain Management
  • Sustainability
  • Theoretical Computer Science

with applications in a broad range of industries, including Education, Energy, Environment, Health Care, Manufacturing, and Transportation.

Article types, reflecting the diversity of the community and the types of contributions to the field, include:

  • original research articles
  • surveys/expositions
  • short communications
  • book reviews
  • reports on computational studies
  • case studies
  • tutorials
  • presentations of new and innovative practical applications
  • pre-registration of experiments (through which either positive or negative results may be reported)

SN Operations Research Forum encourages the submission of videos, letters to the Editors (opinions and commentaries), interviews, observations on timely topics, and other supplementary electronic materials designed to enhance reader engagement. Of particular interest are contributions that identify and critically discuss trends or contribute to the public’s understanding of OR—its motivations, its results, its impact. In its commitment to promoting education, the journal welcomes submission of articles from students and their mentors.

The journal is committed to being an efficient enterprise to serve the community. We strive for a constructive peer-review process to be conducted in a timely fashion, with all accepted articles immediately being assigned to a specific volume upon publication.

In addition to direct submissions, SN Operations Research Forum also considers papers that have been referred from Springer Nature’s prestigious Operations Research, Optimization, and Management Science journals portfolio.

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