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