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:
- Artificial Intelligence
- Computational Economics
- Data Mining
- Data Sciences
- Discrete Mathematics
- Financial Engineering
- Linear Programming
- Optimization (Mathematical, Robust, Stochastic)
- Machine Learning
- Management Science
- Mathematical Programming
- Supply Chain Management
- 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
- short communications
- book reviews
- reports on computational studies
- case studies
- 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.
- Broad-based journal for the entire Operations Research community covering perspectives, methodologies, and applications
- Offers a variety of articles types, including research articles, case studies, tutorials, review articles, pre-registration of experiments, and editorials, in order to encourage innovation and engagement
- Committed to an efficient and constructive peer review process, with all accepted articles being assigned to a volume immediately upon publication
- No color or page charges, free submission, and is free to access for the first two years of publication
- Opportunities to publish Topical Collections on emerging topics and issues in the field
- Marco Lübbecke,
- Panos M. Pardalos
- Publishing model
- Hybrid. Open Access options available
Curriculum-Based Course Timetabling with Student Flow, Soft Constraints, and Smoothing Objectives: an Application to a Real Case Study
Authors (first, second and last of 4)
Editors-in-Chief, Marco Lübbecke and Panos Pardalos, share their insights on the inception of the journal and its unique positioning in the OR community.
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Operations Research in Applied Energy, Environment, Climate Change & Sustainability (Submission Deadline: May 31, 2021)
For this Special Issue we invite contributions in both theoretical developments and applications of Operations Research in areas of energy, environment, climate change and sustainability.
Guest Editors: Dr. Georgios K.D. Saharidis, University of Thessaly; Dr. Mihalis M. Golias, University of Memphis
Submission Deadline: May, 31, 2021
Download full details here: Operations Research in Applied Energy, Environment, Climate Change & Sustainability (PDF, 222 kB)
Optimization, Control, and Machine Learning for Interdependent Networks (Submission Deadline: Sept 10, 2020)
This special issue aims to create an opportunity for researchers from various fields, including but not limited to network science, data science, operation research, computer science, and system engineering, to share their original research works focusing on the interdependent networks related issues. We strongly believe that this channel will benefit both academic and industrial communities. The editorial committee solicits original research papers and review articles that target the themes using advanced machine learning methods and optimization techniques.
M. Hadi Amini, School of Computing and Information Sciences, Florida International University (email@example.com); Panos M. Pardalos, Department of Industrial and Systems Engineering, University of Florida (firstname.lastname@example.org)
Submission Deadline: Sept 10, 2020
Download full details here: Optimization, Control, and Machine Learning for Interdependent Networks (PDF, 114 kB)
About this journal
- Electronic ISSN
- Abstracted and indexed in
- EBSCO Discovery Service
- Google Scholar
- Japanese Science and Technology Agency (JST)
- OCLC WorldCat Discovery Service
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- Research Papers in Economics (RePEc)