Operations Research: Introduction To Models And Methods

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A01=Aleida Braaksma
A01=Henk Tijms
A01=Richard Johannes Boucherie
Author_Aleida Braaksma
Author_Henk Tijms
Author_Richard Johannes Boucherie
Category=KJT
Category=PBWH
Deterministic Operations Research
Discrete-Event Simulation
Dynamic Programming
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Integer Programming
Inventory Control
Linear Programming
Markov Chains
Markov Decision Theory
Network Algorithms
Queueing Analysis
Stochastic Operations Research

Product details

  • ISBN 9789811239342
  • Publication Date: 17 Nov 2021
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
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This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.

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