Management Science and Operations Research

Scholars in Management Science and Operations Research develop and apply mathematical models to optimize decision‐making in complex systems. Key topics include linear and nonlinear programming, stochastic processes, network flows and simulation‐based analysis of operational performance. Contributions that integrate heuristic or metaheuristic algorithms for large‐scale scheduling, inventory control and supply‐chain optimization are especially valued. Empirical studies demonstrating real‐world impact in manufacturing, logistics or service operations through case‐based validation strengthen theoretical advances. Interdisciplinary research combining OR methods with data‐driven analytics or behavioral insights further drives innovation in resource allocation.