Definition, Characteristics and phase of Scientific Method, Types of models. General methods for solving operations research models.
Allocation: Introduction to linear programming formulation, graphical solution, Simplex ethod, artificial variable technique, Duality principle. Sensitivity analysis.
Formulation optimal solution. Unbalanced transportation problems, Degeneracy. Assignment problem, Formulation optimal solution, Variation i.e., Non-square (m x n) matrix restrictions.
Introduction, Terminology, notations and assumptions, problems with n-jobs and two machines, optimal sequence algorithm, problems with n-jobs and three machines, problems with n-jobs and m-machines, graphic solutions. Travelling salesman problem.
Introduction, Replacement of items that deteriorate with time – value of money unchanging and changing, Replacement of items that fail completely.
M.M.1 & M.M.S. system cost considerations.
Theory of games
introduction, Two-person zero-sum games, The Maximum –Minimax principle, Games without saddle points – Mixed Strategies, 2 x n and m x 2 Games – Graphical solutions, Dominance property, Use of L.P. to games, Algebraic solutions to rectangular games.
Introduction, inventory costs, Independent demand systems: Deterministic models – Fixed order size systems – Economic order quantity (EOQ) – Single items, back ordering, Quantity discounts (all units quantity discounts), Batch – type production systems: Economic production quantity – Single items, Economic production quantity multiple items. Fixed order interval systems: Economic order interval (EOI) –Single items, Economic order interval (EOI) – Multiple items.
Elements of project scheduling by CPM and PER