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OPERATIONS RESEARCH SHARMA, ANAND

By: Analytics: Show analyticsPublication details: HIMALAYA PUBLISHING HOUSE 2004 MUMBAIDescription: VII, 454 PAPERISBN:
  • 978-93-5051-513-6
Subject(s): DDC classification:
  • 519.7
Contents:
Operations Research For Decision Making Scope of Quantitative Techniques Linear Programming - Model Formulation Solution of LP Problem "Graphical Method" Linear Programming "Simplex Method" Goal Programming Integer Programming Transportation Models Assignment Problems Sequencing/Scheduling Methods Maintenance and Replacement Models Decision Analysis and Decision Tree Theory of Games Inventory Control Methods Queuing Theory Forecasting Techniques Statistical Quality Control Techniques Markov Chains and Analysis Simulation Techniques Project Planning and Network Analysis Annexures A. List of Computer Programmes Recommended B. List of Tables Biblography Index
Summary: Various techniques described in this book have been developed over a period of time, more prominently since World War II (thanks to many bright brains), but a lucid, easily understandable and comprehensive use in business hers. So that the management students and industry managers both can grasp the techniques easily and are tempted to use them, when they find it `simple t use`. Algorithms used in the book help the use of softwares in various areas of business. I am greatly indebted to many authors, whose work has been a source of information to me. Another aspect of this presentation is the fact that the author has been a "man on the ground" a practicing manger in additions to being a teacher since 1968 and has physically used these techniques extensively for business decisions and it sis strongly recommended that these techniques be used for actual results, the financial impact on saving will be apparent. Usefulness of the book will be fully justified, if the author can help student in their comprehension and managers in their applications. So contribute to the national cause, wherever you can.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Main Library Statistics 519.7/ SHA/ 19054 (Browse shelf(Opens below)) Available 11119054
Book Book Main Library REF 519.7/ SHA/ 19053 (Browse shelf(Opens below)) Not For Loan 11119053
Total holds: 0

Operations Research For Decision Making
Scope of Quantitative Techniques
Linear Programming - Model Formulation
Solution of LP Problem "Graphical Method"
Linear Programming "Simplex Method"
Goal Programming
Integer Programming
Transportation Models
Assignment Problems
Sequencing/Scheduling Methods
Maintenance and Replacement Models
Decision Analysis and Decision Tree
Theory of Games
Inventory Control Methods
Queuing Theory
Forecasting Techniques
Statistical Quality Control Techniques
Markov Chains and Analysis
Simulation Techniques
Project Planning and Network Analysis


Annexures
A. List of Computer Programmes Recommended
B. List of Tables
Biblography
Index

Various techniques described in this book have been developed over a period of time, more prominently since World War II (thanks to many bright brains), but a lucid, easily understandable and comprehensive use in business hers. So that the management students and industry managers both can grasp the techniques easily and are tempted to use them, when they find it `simple t use`. Algorithms used in the book help the use of softwares in various areas of business. I am greatly indebted to many authors, whose work has been a source of information to me.
Another aspect of this presentation is the fact that the author has been a "man on the ground" a practicing manger in additions to being a teacher since 1968 and has physically used these techniques extensively for business decisions and it sis strongly recommended that these techniques be used for actual results, the financial impact on saving will be apparent. Usefulness of the book will be fully justified, if the author can help student in their comprehension and managers in their applications. So contribute to the national cause, wherever you can.

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