Quantitative Techniques For Management Online free tutorial beginners pdf
Chapter -1 : 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
Chapter -2 : Measures of Central Tendency
Definition Of Average
Functions And Characterstics Of An Average
Various Measures Of Average
Arithmetic Mean
Median
Other Partition Or Positional Measures
Mode
Relation Between Mean, Median And Mode
Geometric Mean
Harmonic Mean
Mathematical Model Summary
Chapter -3 : 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
Chapter -4: 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
Chapter -5: 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 Lp Problems
Sensitivity Analysis
Chapter -6: 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
Chapter -7: 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
Chapter -8: 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
Chapter -9: 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
Chapter -10: Probability
Classical Definition Of Probability
Counting Techniques
Statistical Or Empirical Definition Of Probability
Axiomatic Or Modern Approach To Probability
Theorems On Probability – I
Chapter -11: 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
Chapter -12: 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
Chapter -13: 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
Chapter -14: 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
Chapter -15: Simulation
Advantages And Disadvantages Of Simulation
Monte Carlo Simulation
Simulation Of Demand Forecasting Problem
Simulation Of Queuing Problems
Simulation Of Inventory Problems
Chapter -1 : 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
Definition Of Average
Functions And Characterstics Of An Average
Various Measures Of Average
Arithmetic Mean
Median
Other Partition Or Positional Measures
Mode
Relation Between Mean, Median And Mode
Geometric Mean
Harmonic Mean
Mathematical Model Summary
Chapter -3 : 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
Chapter -4: 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
Chapter -5: 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 Lp Problems
Sensitivity Analysis
Chapter -6: 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
Chapter -7: 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
Chapter -8: 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
Chapter -9: 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
Chapter -10: Probability
Classical Definition Of Probability
Counting Techniques
Statistical Or Empirical Definition Of Probability
Axiomatic Or Modern Approach To Probability
Theorems On Probability – I
Chapter -11: 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
Chapter -12: 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
Chapter -13: 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
Chapter -14: 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
Chapter -15: Simulation
Advantages And Disadvantages Of Simulation
Monte Carlo Simulation
Simulation Of Demand Forecasting Problem
Simulation Of Queuing Problems
Simulation Of Inventory Problems
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