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UNIT I LINEAR PROGRAMMING
Formulation of linear programming problems – Graphical method of solution– solving LPP using simplex algorithm – Degeneracy- Duality theory- Big-M method and artificial variables.
UNIT II DYNAMIC PROGRAMMING
Elements of dynamic programming – stage and state, characteristics of DP problems, recursive relationship, Bellman’s principle of optimality – computational procedure for shortest route problem, knapsack problem.
UNIT III NETWORK MODELS
Shortest route problem – Maximal flow problem – Minimal spanning tree problem – Project networks- CPM, PERT (excluding Crashing of networks)– project costing and control.
UNIT IV INVENTORY CONTROL
Types of inventory- Inventory cost – EOQ – Deterministic inventory problems – EOQ with price breaks– EOQ with storage limitations.
UNIT V QUEUEING THEORY
Queueing system – Characteristics – symbols – Single server queuing models – Multiserver queueing models- Simulation – Monte Carlo technique.
- Handy, A. Taha, Operations Research, 5th Edition, Prentice Hall of India, New Delhi, 1995
- Philip and Ravindran, “Operational Research“, John Wiley, 1992
- Hillier, F.S. and Liebermann, G.J., Introduction to Operations Research, 8th Edition, McGraw Hill, 2005.
- Panneerselvam, Operations Research, PHI, 2006.
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