Home > Business & Economics > Decision Science > An Introduction to Operational Research
An Introduction to Operational Research, 3/e

An Introduction to Operational Research, 3/e

Vikas Publishing
  • 9780706985672
  • 540 pages
  • Paperback
  • 5.5" x 8.5" inches
  • Book 435.00

The revised edition of this book has been written primarily for students who may only possess elementary mathematical knowledge but want to understand the concepts and techniques in the field of Operations Research. As such, all important O.R. techniques have been described and illustrated in a lucid and easy-to-follow style. The helping statistical tools, especially the random variable and probability distributions, have also been taken care of in the present volume. The objective kept in view throughout has been to introduce basic O.R. concepts along with their applications in the context of real life industrial and business situations. The opening chapter of the book presents an overview of O.R. followed by a chapter wherein problem formulation and modeling have been dealt with in full details. The third chapter makes lucid exposure of ‘Random Variables O.R. techniques (including Investment Decisions: Analysis of Risk and Statistical Quality Control Techniques) have been described and illustrated in chapters four to eighteen. At the end, three appendices have been devoted toward the salient features of Markov Processes, Work Study and Exponential Smoothing respectively, so often talked about in the context of O.R. The distinct feature of the book is that mathematical complexities have been skillfully kept away to the extent possible for a quick and easy grasp of the techniques by all concerned. The book is intended to be a text-book primarily for the students M.M.A., of Com., C.A., I.C.W.A. and MBA.

Printer post review Bookmark and Share
    An Overview of Operational Research
  • Problem Formulation and Modelling
  • Random Variables and Probability Distributions
  • Linear Programming–I
  • Linear Programming–II (Transportation and Assignment Problems)
  • Combinatorial Problems: Branch and Bound Technique
  • Sequential Decisions: Dynamic Programming
  • Sequencing Problems
  • Network Analysis – CPM and PERT
  • Elements of Replacement Theory
  • Inventory Planning Control
  • Theory of Games
  • Queuing (or Waiting Line) Theory
  • Simulation: Monte Carlo Technique
  • Decision Theory
  • Investment Decisions & Analysis of Rick/Uncertainty
  • Value Analysis
  • Statistical Quality Control
  • Appendix 1 – A Note on Markov Processes
  • Appendix 2 – A Note on Work Study
  • Appendix 3 – A Note on Exponential Smoothing
  • Appendix 4 – Statistical Tables.