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MBA Quantitative Techniques Notes pdf Download
“Quantitative techniques had facilitated the organization in solving complex problems on time with greater accuracy“. Quantitative Technique is a scientific approach to managerial decision-making. The successful use of a Quantitative Technique for management would help the organization in solving complex problems on time, with greater accuracy and in the most economical way.
Quantitative Techniques for Management MBA notes
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Suggested Books for MBA Quantitative Techniques – 1st Sem
- Bierman & Hausman, Quantitative Analysis for Business Decision.Billy E Gillert, “Introduction to OR”
- Franklyn A Lindsay, “New Technique for Management Decision-making”.
- Herbert G. Hicks, “New Management of Organisation”.
- Joseph L. Massie, “Essentials of Management.”
- R. L. Acnoff & M. W. Sasieni, “Fundamentals of OR”.
- Norbert Lloyd, Enrich, “Management OR”.
- Mario F. Triola, Elementary Statistics, Addison-Wesley January 2006.
- David & Moae, Introduction to the Practice of Statistics, W.H. Freeman & Co. February 2005.
- Allan & Blumon, Elementary Statistics: A Step by Step Approach. McGraw-Hill College, June 2003.
- James T. McClave Terry Sincich, William Mendenhall, Statistics, Prentice Hall February 2005
- Mark L. Berenson, David M. Revine, Tineothy C. Krehbiel, Basic Business Statistics: Concepts & Applications, Prentice Hall, May 2005.
MBA Quantitative Techniques Syllabus in Detailed Structure
The MBA Quantitative Techniques Notes syllabus has given in the following Units.
- Unit Lessons: Quantitative Techniques, Measures of Central Tendency, Mathematical Model, Linear Programming: Graphical Method, Linear Programming: Simplex Method
- Unit Content: QT – Introduction – Measures of Central Tendency – Mean, Median, Mode. Mathematical Models – deterministic and probabilistic – simple business examples – OR and optimization models – Linear Programming – formulation – graphical solution –simplex – solution.
- Unit Lessons: Transportation Model, Assignment Model
- Unit Content: Transportation model – Initial Basic Feasible solutions – optimum solution for non – degeneracy and
degeneracy model – Trans-shipment Model – Assignment Model – Travelling Salesmen problem.
- Unit Lessons: Network Model, Waiting Model (Queuing Theory)
- Unit Content: Network Model – networking – CPM – critical path – Time estimates – critical path – crashing, Resource leveling, Resources planning. Waiting Line Model – Structure of model – M/M/1 for the infinite population.
- Unit Lessons: Probability, Theoretical Probability Distributions, Probability Distribution of a Random Variable.
- Unit Content: Probability – definitions – addition and multiplication Rules (only statements) – simple business
application problems – a probability distribution – expected value concept – theoretical probability distributions – Binomial, Poison and Normal – Simple problems applied to business.
- Unit Lessons: Inventory Model, Game Theory, Simulation
- Unit Content: Inventory Models – Deterministic – EOQ – EOQ with Price Breaks – Probabilistic Inventory Models- Probabilistic EOQ model – Game theory-zero sum games: Arithmetic and Graphical Method. Simulation – types of simulation – Monte Carlo simulation – simulation problems. Decision Theory – Pay off tables – decision criteria – decision trees.
MBA Quantitative Techniques for Management Sample Questions
- What is simulation? Give a few areas of its application.
- With the help of a flow chart, briefly explain the simulation process.
- What are the advantages and limitations of simulation?
- What is the Monte Carlo simulation?
- Explain the procedure of simulation using random numbers.
- Explain how simulation is useful in solving queuing and inventory problems.
- What are the properties of the Two-person Zero-sum game?
- Define Pure strategy and Mixed strategy.
- What is meant by the saddle point?
- What is meant by a Fair Game?
- Explain how games can be solved using the dominance property
Online MBA Quantitative Techniques Books at Amazon.in
- TULSIAN (Author)
- English (Publication Language)
- 804 Pages - 12/05/2020 (Publication Date) - Pearson Education (Publisher)
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