Electronic Resource
Simulation-Optimization in Logistics, Transportation, and SCM
Simulation-Optimization in Logistics, Transportation, and SCM, by Angel A. Juan, Markus Rabe, David Goldsman, and Javier Faulin, explores the application of simulation and optimization techniques to complex problems in logistics, transportation, and supply chain management (SCM). The book examines how simulation can be used to represent and analyze dynamic, uncertain, and stochastic logistics and transportation systems, while optimization methods can support the identification of effective operational and strategic decisions. Particular attention is given to the integration of simulation and optimization as complementary approaches for addressing problems involving routing, scheduling, inventory, resource allocation, transportation networks, and supply chain operations. The book also considers computational and methodological challenges associated with applying these techniques to real-world systems characterized by uncertainty, variability, and multiple constraints. By combining concepts from operations research, simulation modeling, optimization, logistics, and supply chain management, the work provides a framework for analyzing and improving the performance of complex transportation and supply chain systems. Overall, the book demonstrates the value of simulation-optimization methodologies for supporting decision-making and enhancing efficiency, flexibility, and operational performance.
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