CA782

MULTIPLE CRITERIA DECISION MAKING

Pre-requisite: Operations Research methods, Linear Programming and Non-linear Programming.

Outline:

Multiple Criteria Decision Making: Basic concepts, static and dynamic optimization, problem formulation, pareto optimality, efficient set, classification of methods.

Utility function method, weighting methods, Graphical Method using weights, Bounded Objective Method, Lexicographic Method, Multi- objective simplex methods by Zelency and Philips.

Linear Goal Programming- deviation variables, Pre-emptive priorities, Graphical Method, Modified Simplex Method, Branch and Bound Method and Cutting Plane Method for integer Goal programming models, Non-Linear Goal Programming- Simplex based Method- Pattern Search Method.

Group Decision Making, Dynamic Programming approach to multi objective Network Problems, Multi objective transportation problem, Genetic Algorithms.

Real-time problems based on student background.

Books:

1. Ralph E. Steur, "Multiple Criteria Optimization Theory, Computation and Application", 1985, John Wiley.

2. J.P. Ignizio, "Goal Programming and Extensions", 1976, Heath Lexington Books.