Operations Research Methodologies (Operations Research Series)

a Single Source Guide To Operations Research (or) Techniques, This Book Covers Emerging Or Methodologies In A Clear, Concise, And Unified Manner. Building A Bridge Between Theory And Practice, It Begins With Coverage Of Fundamental Models And Methods Such As Linear, Nonlinear, Integer, And Dynamic Programming, Networks, Simulation, Queuing, Inventory, Stochastic Processes, And Decision Analysis. The Book Then Explores Emerging Techniques Including Multiple Criteria Optimization, Meta Heuristics, Robust Optimization, And Complexity And Large Scale Networks. Each Chapter Gives An Overview Of A Particular Methodology, Illustrates Successful Applications, And Provides References To Computer Software Availability. Linear programming / Katta G. Murty Nonlinear programming / Theodore B. Trafalis and Robin C. Gilbert Integer programming / Michael Weng Network optimization / Mehmet Bayram Yildirim Multiple criteria decision making / Abu S.M. Masud and A. Ravi Ravindran Decision analysis / Cerry M. Klein Dynamic programming / José A. Ventura Stochastic processes / Susan H. Xu Queueing theory / Natarajan Gautam Inventory control / Farhad Azadivar and Atul Rangarajan Complexity and large-scale networks / Hari P. Thadakamalla, Soundar R.T. Kumara, and Réka Albert Simulation / Catherine M. Harmonosky Metaheuristics for discrete optimization problems / Rex K. Kincaid Robust optimization / Harvey J. Greenberg and Tod Morrison. "As operations research (OR) methodologies continue to grow and flourish in a number decision making fields, a reference that is comprehensive, concise, and easy-to-read is a necessity. This book is a single-source guide to OR techniques, covering fundamental and emerging methodologies in one convenient volume."--Jacket