Principles of operations research, with applications to managerial decisions [by] Harvey M. Wagner.

includes bibliographical reference and index

The Art and Science of Executive Decisions. Formulation of Linear Optimization Models. Algebraic and Geometric Representations of Linear Optimization Models. Simplex Method of Solution. Sensitivity Testing and Duality. Transportation Problem. Shortest-Route and Other Network Models. Introduction to Dynamic Optimization Models. Dynamic Optimization of Inventory Scheduling. Other Examples of Dynamic Programming. Decision-Making over an Unbounded Horizon. Optimization Methods for an Unbounded Horizon. Integer Programming and Combinatorial Models. Optimization with a Nonlinear Objective Function. Advanced Techniques in Nonlinear Programming. Introduction to Stochastic Programming Models. Probabilistic Dynamic Programming Models. Dynamic Programming in Markov Chains. Probabilistic Inventory Models. Waiting Line Models. Computer Simulation of Management Systems. Implementation of Operations Research. Advanced Topics in Network Algorithms. Advanced Techniques for Waiting Line Models. Table_Probability of a Busy Period. Selected References. Author Index. Subject Index.

The book provides an introduction to operations research presupposing no advanced training in management, industrial relations, mathematics, statistics, probability or economics. Application oriented, it covers all standard topics as well as a few advanced ones.The new edition features completely revised chapters on Transportation Problem. Shortest-Route and Other Network Models. Other Examples of Dynamic Programming and Introduction to Stochastic Programming. The compre-hension of these topics is greatly facilitated by the inclusion of respective examples and numerical examples to initiate the student in the application of models and methods.The material on Integer Programming and Combinatorial Models and Computer Simulation of Management Systems now lays emphasis on the model for formulation.

1