MA304
PRINCIPLES OF OPERATIONAL RESEARCH
Objectives
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To classify and formulate real-life problem for modelling, solving and applying for decision making.
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To study the formulation and various methods of solutions for linear programming, transportation, assignment , CPM and PERT problems
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To solve problems using dynamic programming method
Outcomes
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Analyse problems in engineering, management, or business environment, focusing on important details
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Formulate of real problems in terms of input-output-parameters relationships and identify the solution procedure
Unit - I
Introduction to operational research-Linear programming problems (LPP)-Graphical method-Simplex method-Big M Method-Dual simplex method-Primal Dual problems.
Unit – II
Dual theory and Sensitivity analysis-Transportation and assignment problems-Applications(Emphasis should be more on problems than theory)
Unit – III
CPM and PERT –Network diagram-Events and activities-Project Planning-Reducing critical events and activities-Critical path calculations-example-Sequencing problems.
Unit – IV
Replacement problems-Capital equipment-Discounting costs-Group replacement. Inventory models-various costs- Deterministic inventory models-Economic lot size-Stochastic inventory models-Single period inventory models with shortage cost.
Unit – V
Dynamic programming-Formulation-Invest problem-General allocation problem-Stage coach problem-Production Scheduling.
TEXT BOOKS
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H. A. Taha, operational research-An introduction, Macmillan, 1976
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F. S. Hiller and G. J. Liebermann, Introduction to operational research (7th edition)
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B. E. Gillet, Introduction to operational research-A computer oriented algorithmic approach, McGraw Hill, 1989
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H. M. Wagner, Principles of operational research with applications to managerial decisions, PH, Inc, 1975