Aims and scope
Information Systems and Operational Research (INFOR) publishes original high quality papers in the areas of data analytics and operations research. We focus on the theory, methodology and practice of Data Analytics and Operations Research and are particularly interested in papers that explore elements of both subjects.

We welcome papers that examine the following topics:

Computational intelligence
Data-driven optimization
Financial Optimization and Risk Management
Operations Research in Forestry
Operations Research in Health Care
Optimization
Production Planning and Scheduling
Stochastic modelling and simulation
Supply chain management
Sustainable Operations
Transportation and Logistics
We accept the following forms of submission:

Application: As a medium of communication between academics and practitioners, INFOR welcomes papers that demonstrate novel OR and IS approaches and concepts applied to important practical situations.

Theory: Original contributions to the techniques and methodology of data analytics and operations research. Authors should clearly demonstrate the relevance of the results in terms of applications.

Reviews: State-of-the-art surveys that review major theory and application development.

Notes: Short technical communications and comments on previously published INFOR papers.

We operate a rigorous single-anonymized peer review process. Visit our Instructions for Authors page for information on preparing your manuscript.