The book offers a solid, illustrative introduction to the fundamental models and methods of operations research, particularly for economists. Linear optimization is covered, including duality and sensitivity analysis, with various examples demonstrating its potential for practical applications. Additionally, graphs are presented along with their applications in logistics and especially project planning. Simulation is used to support decisions for deterministic and stochastic systems, illustrated with examples from facility allocation, queueing theory, and risk analysis. Numerous exercises with detailed solutions promote application-oriented methodological competence. By combining the teaching of mathematical skills with economic knowledge, a high level of problem-solving competence is achieved.