Operations Research: Introduction To Models And Methods

This comprehensive textbook provides an accessible introduction to operations research for students in various fields, covering both deterministic and stochastic models.

With a focus on practical applications, it covers essential models such as linear programming with sensitivity analysis, integer programming, network analysis, decision trees, dynamic programming, optimal stopping, production planning, inventory control, discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.

The book includes numerous exercises with solutions for reinforcement, making it an invaluable resource for anyone looking to master operations research.