NOLEGEIN Journal of Operations Research & Management

NOLEGEIN Journal of Operations Research & Management [2581-5458(e)] is a peer-reviewed hybrid open-access journal launched in 2018 that provides a platform to discuss new issues in the area of Decision theory and Operations models. The journal also seeks to advance the quality of research by publishing papers introducing or elaborating on Applications of operations research and Manufacturing & operations theory.

• Operations Research and Decision Science: Research on mathematical, analytical, computational, and data-driven methods for supporting complex decision-making, including optimization, decision analysis, uncertainty modeling, and quantitative management science.
• Decision Theory and Decision Analysis: Studies on decision-making under certainty, risk, and uncertainty, including influence diagrams, probabilistic models, Bayesian methods, belief networks, multi-stage decisions, utility theory, and decision-support systems.
• Optimization Methods and Mathematical Programming: Research on linear, nonlinear, integer, stochastic, dynamic, robust, and multi-objective optimization, together with exact and heuristic solution methods for complex operational problems.
• Multi-Criteria Decision Making: Studies on methods for evaluating and ranking alternatives involving multiple and potentially conflicting criteria, including AHP, TOPSIS, ELECTRE, PROMETHEE, DEA, and other decision-support frameworks.
• Simulation and Computational Operations Research: Research using discrete-event simulation, Monte Carlo methods, agent-based modeling, computational experiments, numerical optimization, and simulation–optimization for operational and managerial decision-making.
• Artificial Intelligence and Machine Learning in Operations Research: Studies integrating artificial intelligence, machine learning, neural networks, reinforcement learning, predictive analytics, and intelligent algorithms with operations research and management decision systems.
• Supply Chain and Logistics Management: Research on supply-chain design, procurement, inventory management, transportation, distribution, warehousing, reverse logistics, network optimization, coordination, resilience, and sustainable supply chains.
• Production and Manufacturing Systems: Studies on production planning, scheduling, assembly lines, process optimization, manufacturing strategy, lean operations, additive manufacturing, quality improvement, process monitoring, and operational efficiency.
• Service Operations and Service Systems: Research on service design, capacity planning, queuing, workforce scheduling, service quality, repair services, healthcare operations, hospitality operations, transportation services, and digital service systems.
• Transportation, Routing, and Mobility Systems: Studies on vehicle routing, travelling-salesperson problems, demand-responsive transport, shared mobility, mobility-as-a-service, network design, traffic systems, fleet planning, and transportation optimization.
• Inventory and Resource Allocation Models: Research on inventory control, lot sizing, replenishment, capacity allocation, workforce allocation, equipment utilization, facility planning, and optimal distribution of scarce organizational resources.
• Project Planning and Scheduling: Studies on project scheduling, resource-constrained project management, network models, critical-path analysis, time–cost trade-offs, project risk, portfolio selection, and optimization of project execution.
• Finance and Operations Research: Research applying operations research to portfolio optimization, risk management, financial forecasting, credit analysis, capital allocation, investment decisions, banking operations, and financial performance analysis.
• Marketing Analytics and Operations Research: Studies on pricing, market segmentation, customer analytics, marketing resource allocation, sales-force planning, demand forecasting, promotion strategy, and quantitative models for marketing decisions.
• Human Resource and Workforce Analytics: Research on workforce planning, employee scheduling, performance measurement, productivity, staffing, talent allocation, organizational structure, and quantitative approaches to human-resource decision-making.
• Performance Measurement and Efficiency Analysis: Studies on productivity, benchmarking, data envelopment analysis, operational efficiency, key performance indicators, organizational performance, and quantitative evaluation of managerial systems.
• Energy and Sustainable Operations: Research on renewable-energy scheduling, energy storage, smart grids, sustainable production, carbon-aware operations, resource efficiency, circular-economy systems, and optimization for environmental sustainability.
• Digital Twins and Smart Operations: Studies on digital twins, Industry 4.0, cyber-physical production systems, smart factories, real-time monitoring, predictive maintenance, digital operations, and data-driven process optimization.
• Strategic Operations and Management Science: Research on operations strategy, capacity strategy, process design, strategic alignment, configuration theory, organizational decision-making, competitive operations, and integration of operational and corporate strategy.
• Applied Operations Research and Emerging Applications: Interdisciplinary research applying operations research to engineering, healthcare, agriculture, forestry, biodiversity management, communication networks, public systems, disaster management, and other complex decision environments where quantitative optimization or decision science forms the central contribution.