About the Journal & Aims and Scope

The International Journal of Applied Operational Research (IJAOR) is a peer-reviewed scholarly journal dedicated to publishing high-quality, original research that bridges the gap between operational research (OR) theory and real-world applications. The journal serves as a platform for researchers, academicians, and practitioners to exchange innovative methodologies and advanced quantitative solutions to complex decision-making problems.

1. Scope and Core Research Areas

The journal covers a broad spectrum of applied operational research, categorized into the following primary core areas:

• Optimization & Mathematical Programming: Linear, nonlinear, integer, and discrete optimization; heuristics and meta-heuristics; multi-objective optimization.
• Stochastic & Probabilistic Modeling: Stochastic processes, simulation, queueing theory, and reliability analysis.
• Data Envelopment Analysis (DEA) & Performance Measurement: Efficiency and productivity analysis, benchmarking, and network/dynamic DEA models under certainty and uncertainty (including fuzzy and probabilistic environments).
• Decision Theory & Analysis: Multi-criteria decision-making (MCDM), decision analysis under dynamic and uncertain conditions, and forecasting techniques.
• Supply Chain, Logistics & Production: Production planning, inventory control, sequencing, scheduling, and distribution logistics.
• Sector-Specific OR Applications: Applications in finance, marketing, healthcare, telecommunications, public sector organizations, and military operations research.

2. Scientific Contribution and Expected Novelty

To be considered for publication in IJAOR, submissions must offer a clear and significant scientific contribution. We expect manuscripts to go beyond a straightforward, routine application of an existing algorithm or model to a specific case study. Acceptable papers must demonstrate:

• Methodological Advancement: Introduction of new mathematical frameworks, algorithms, or extensions of existing OR tools to handle complex uncertainties.
• Substantial Practical Insight: Provision of deep managerial or operational insights derived from rigorous quantitative analysis that can be generalized or benchmarked against alternative approaches.

3. Disciplinary Boundaries

While the journal welcomes interdisciplinary research, submissions must remain firmly rooted in Operational Research, Quantitative Management Science, or Applied Mathematics. Purely qualitative studies, descriptive management reports without mathematical or quantitative modeling frameworks, or papers falling strictly within pure mathematics without operational or decision-making relevance fall outside the scope of the journal and will not be considered.