Principles of Operations Research

Principles of Operations Research
Author: Harvey M. Wagner
Publisher: Prentice Hall
Total Pages: 1096
Release: 1969
Genre: Business & Economics
ISBN:

Textbook on the fundamentals of operational research - includes theory, models, related mathematics and decision making applications, and covers linear programming, network analysis, computer simulations, probability distribution, etc. References.

Principles Of Operations Research For Management (2nd Edition)

Principles Of Operations Research For Management (2nd Edition)
Author: Frank S. Budnick
Publisher:
Total Pages: 1008
Release: 1994
Genre:
ISBN: 9788185386720

Table of Applications. The Process of Operations Research/Management Science, Classical Deterministic Models, Linear Programming : Geometric and Computerized Solutions, Linear Programming: Postoptimality, Linear Programming: The Simplex Method, Transportation and Assignment Models, Integer and Zero-One Programming, Multicriteria Mathematical Programming, Network Models, Project Scheduling, Dynamic Programming and Sequential Decisions, Decision Analysis, Markov, Processes, Inventory Models, Queuing Models, Simulation, Management Science in Perspective.

Operations Research

Operations Research
Author: Don T. Phillips
Publisher: John Wiley & Sons
Total Pages: 618
Release: 1976
Genre: Business & Economics
ISBN:

The nature of operations research; Linear programming; Network analysis; Advanced topics in linear programming; Probability review; Random processes; Queueing models; Inventory models; Simulation; Dynamic programming; Nonlinear programming.

OPERATIONS RESEARCH : PRINCIPLES AND APPLICATIONS

OPERATIONS RESEARCH : PRINCIPLES AND APPLICATIONS
Author: SRINIVASAN, G.
Publisher: PHI Learning Pvt. Ltd.
Total Pages: 606
Release: 2017-06-01
Genre: Business & Economics
ISBN: 8120353102

This text, now in the Third Edition, aims to provide students with a clear, well-structured and comprehensive treatment of the theory and applications of operations research. The methodology used is to first introduce the students to the fundamental concepts through numerical illustrations and then explain the underlying theory, wherever required. Inclusion of case studies in the existing chapters makes learning easier and more effective. The book introduces the readers to various models of Operations Research (OR), such as transportation model, assignment model, inventory models, queueing theory and integer programming models. Various techniques to solve OR problems’ faced by managers are also discussed. Separate chapters are devoted to Linear Programming, Dynamic Programming and Quadratic Programming which greatly help in the decision-making process. The text facilitates easy comprehension of topics by the students due to inclusion of: • Examples and situations from the Indian context. • Numerous exercise problems arranged in a graded manner. • A large number of illustrative examples. The text is primarily intended for the postgraduate students of management, computer applications, commerce, mathematics and statistics. Besides, the undergraduate students of mechanical engineering and industrial engineering will find this book extremely useful. In addition, this text can also be used as a reference by OR analysts and operations managers. NEW TO THE THIRD EDITION • Includes two new chapters: – Chapter 14: Project Management—PERT and CPM – Chapter 15: Miscellaneous Topics (Game Theory, Sequencing and Scheduling, Simulation, and Replacement Models) • Incorporates more examples in the existing chapters to illustrate new models, algorithms and concepts • Provides short questions and additional numerical problems for practice in each chapter

Operations Research: Algorithms And Applications

Operations Research: Algorithms And Applications
Author: Rathindra P. Sen
Publisher: PHI Learning Pvt. Ltd.
Total Pages: 801
Release: 2010-01-30
Genre: Mathematics
ISBN: 8120339304

It covers all the relevant topics along with the recent developments in the field. The book begins with an overview of operations research and then discusses the simplex method of optimization and duality concept along with the deterministic models such as post-optimality analysis, transportation and assignment models. While covering hybrid models of operations research, the book elaborates PERT (Programme Evaluation and Review Technique), CPM (Critical Path Method), dynamic programming, inventory control models, simulation techniques and their applications in mathematical modelling and computer programming. It explains the decision theory, game theory, queueing theory, sequencing models, replacement and reliability problems, information theory and Markov processes which are related to stochastic models. Finally, this well-organized book describes advanced deterministic models that include goal programming, integer programming and non-linear programming.