B.Tech III Year I Semester (R18)
None
Understanding the mathematical importance of development of model in a
particular optimization model for the issue and solving it.
Understanding the problem, identifying variables & constants, Formulation of
optimization model and applying appropriate optimization technique
Development-definition-characteristics and phases-Types of models-Operations Research models- applications. Allocation: Linear Programming Problem Formulation-Graphical solution- Simplex method-Artificial variable techniques: Two-phase method, Big-M method.
Transportation problem - Formulation-Optimal solution, unbalanced transportation problem- Degeneracy. Assignment problem- Formulation-Optimal solution,- Variants of Assignment problem- Travelling salesman problem.
Sequencing- Introduction-Flow-Shop sequencing- n jobs through two machines – n jobs through three machines- Job shop sequencing-two jobs through ‘m’ machines Replacement: Introduction- Replacement of items that deteriorate with time- when money value is not counted and counted- Replacement of items that fail completely- Group Replacement.
Theory of Games: Introduction- Terminology- Solution of games with saddle points and without saddle points. 2 x 2 games- dominance principle- m x 2 & 2 x n games- Graphical method. Inventory: Introduction- Single item, Deterministic models- purchase inventory models with one price break and multiple price breaks- Stochastic models _ Demand may be discrete variable or continuous variable- single period model and no setup cost.
Waiting lines: Introduction- Terminology- Single channel- Poisson arrivals and Exponential service times with infinite population. Dynamic Programming: Introduction- Terminology, Bellman’s principle of optimality- Applications of Dynamic programming- shortest path problem- linear programming problem.
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