Quantitative Techniques For Management Tutorial


What is quantitative management tutorial?

This chapter discusses about the distinguished approaches to quantitative techniques and its various applications in management, statistical analysis and other industries. Here we will discuss the approaches of quantitative techniques.

Audience

This tutorial is useful for the Professionals who want to learn Statistics. This tutorial provides basic understanding on concepts present in quantitative management to go to next level.

Prerequisites

To learn this tutorial you should have a basic understanding of Mathematics.
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Historical Development
About Quantitative Technique
Methodology Of Quantitative Techniques
Quantitative Techniques – Introduction Historical Development About Quantitative Technique Methodology Of Quantitative Techniques Advantages Of Mathematical Modelling Scope Of Quantitative Technique Statistics : An Introduction Geometric Mean Summary Measures Of Central Tendency Definition Of Average Functions And Characterstics Of An Average Various Measures Of Average Arithmetic Mean Determination Of Median Other Partition Or Positional Measures How To Determine Mode Relation Between Mean, Median And Mode Geometric Mean Harmonic Mean Mathematical Model Summary Mathematical Model Mathematical Model Mathematics — The Language Of Modelling Building A Mathematical Model Verifying And Refining A Model Variables And Parameters Continuous-in-time Vs. Discrete-in-time Models Deterministic Model Example Probabilistic Models Graphical Method Summary Linear Programming: Graphical Method Essentials Of Linear Programming Model Properties Of Linear Programming Model Formulation Of Linear Programming General Linear Programming Model Maximization & Minimization Models Graphical Method Solving Linear Programming Graphically Using Computer Summary Of Graphical Method Unbounded Lp Problem Limitations Of Linear Programming Big M Method Summary Linear Programming: Simplex Method Additional Variables Used In Solving Lpp Maximization Case Solving Lp Problems Using Computer With Tora Minimization Lp Problems Big M Method Degeneracy In Lp Problems Unbounded Solutions In Lpp Multiple Solutions In Lpp Duality In Lp Problems Duality In Linear Programming Sensitivity Analysis Transportation Model Mathematical Formulation Network Representation Of Transportation Model General Representation Of Transportation Model Use Of Linear Programming To Solve Transportation Problem Formulation Of Lp Model Solving Transportation Problem Using Computer Balanced Transportation Problem Unbalanced Transportation Problem Procedure To Solve Transportation Problem Degeneracy In Transportation Problems Maximization In A Transportation Problem Prohibited Routes Problem Transhipment Problem Assignment Model Mathematical Structure Of Assignment Problem Network Representation Of Assignment Problem Use Of Linear Programming To Solve Assignment Problem Types Of Assignment Problem Hungarian Method For Solving Assignment Problem Unbalanced Assignment Problem Restricted Assignment Problem Multiple And Unique Solutions Maximization Problem Travelling Salesman Problem Solving Problems On The Computer With Tora Solving Unbalanced Assignment Problem Using Computer Solving Maximization Problems Using Computers Network Model Pert/cpm Network Components Errors To Be Avoided In Constructing A Network Rules In Constructing A Network Procedure For Numbering The Events Using Fulkerson's Rule Critical Path Analysis Determination Of Float And Slack Times Solving Cpm Problems Using Computer Project Evaluation Review Technique, Pert Solving Pert Problems Using Computer Cost Analysis Advantages Of Network Models Waiting Model (queuing Theory) Queuing Systems Characteristics Of Queuing System Poisson And Exponential Distributions Symbols And Notations Single Server Queuing Model Solving The Problem Using Computer With Tora Probability Classical Definition Of Probability Counting Techniques Statistical Or Empirical Definition Of Probability Axiomatic Or Modern Approach To Probability Theorems On Probability – I Theoretical Probability Distributions Probability Distribution Binomial Distribution Hypergeometric Distribution Pascal Distribution Geometrical Distribution Uniform Distribution (discrete Random Variable) Poisson Distribution Exponential Distribution Uniform Distribution (continuous Variable) Normal Distribution Probability Distribution Of A Random Variable Probability Distribution Of A Random Variable Mean And Variance Of A Random Variable Theorems On Expectation Joint Probability Distribution Decision Analysis Under Certainty Decision-making Under Uncertainty Decision-making Under Risk Expected Value With Perfect Information (evpi) Use Of Subjective Probabilities In Decision-making Use Of Posterior Probabilities In Decision-making Inventory Model Need Of Inventory Control Advantages Of Material Controls Essential Factors Of Material Control Abc Analysis Technique Process Of Inventory Control Minimum Stock Level Maximum Stock Level Ordering Level Or Re-order Level Average Stock Level Danger Level Game Theory Two-person Zero-sum Game Pure Strategies: Game With Saddle Point Mixed Strategies: Games Without Saddle Point Dominance Property Solving Problem On The Computer With Tora Solving Lp Model Games Graphically Using Computer Simulation Advantages And Disadvantages Of Simulation Monte Carlo Simulation Simulation Of Demand Forecasting Problem Simulation Of Queuing Problems Simulation Of Inventory Problems Quantitative Techniques For Management Interview Questions Quantitative Techniques For Management Practice Tests