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Aims & Scope of the Journal
The Information Systems and Operational Research (INFOR) journal publishes original high quality papers in the areas of data analytics and operations research. Operations research applies advanced analytical methods to aid in decision making. Data analytics is the use of modelling and statistics to transform data into information for making better decisions. Authors are invited to submit papers on the theory, methodology and practice of Data Analytics and Operations Research and, particularly, papers incorporating elements of both subjects.
Articles can be of different types:
(i) 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.
(ii) 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.
(iii) Reviews: State-of-the-art surveys that review major theory and application development.
(iv) Notes: Short technical communications and comments on previously published INFOR papers.
Papers will be handled under 11 areas:
• Computational intelligence
• Data-driven optimization
• Financial Optimization and Risk Management
• Operations Research in Forestry
• Operations Research in Health Care
• Production Planning and Scheduling
• Stochastic modelling and simulation
• Supply chain management
• Sustainable Operations
• Transportation and Logistics