## Thursday, February 13, 2014

### MF7201 OPTIMIZATION TECHNIQUES IN MANUFACTURING Syllabus | Anna University ME Manufacturing Engineering Second Semester Syllabus Regulation 2013

Latest: TNEA 2014 Engineering Application Status, Counselling Date, Rank List

### Anna University Syllabus - Anna University ME Syllabus

MF7201 OPTIMIZATION TECHNIQUES IN MANUFACTURING Syllabus | Anna University ME Manufacturing Engineering Second Semester Syllabus Regulation 2013. Below is the Anna University 2013 Regulation Syllabus for 2nd Semester for ME Manufacturing Engineering, Textbooks, Reference books, Exam portions, Question Bank, Previous year question papers, Model question papers, Class notes, Important 2 marks, 8 marks, 16 marks topics.
It is applicable for all students admitted in the Academic year 2013-2014 onwards for all its Affiliated institutions in Tamil Nadu.

### MF7201 OPTIMIZATION TECHNIQUES IN MANUFACTURING L T P C 3 0 0 3

AIM:
 To introduce the various optimization techniques and their advancements.
OBJECTIVES:
 To make use of the above techniques while modeling and solving the engineering problems of
different fields.
UNIT I INTRODUCTION 5
Optimization – Historical Development – Engineering applications of optimization – Statement of an
Optimization problem – classification of optimization problems.
UNIT II CLASSIC OPTIMIZATION TECHNIQUES 10
Linear programming - Graphical method – simplex method – dual simplex method – revised simplex
method – duality in LP – Parametric Linear programming – Goal Programming.
UNIT III NON-LINEAR PROGRAMMING 9
Introduction – Lagrangeon Method – Kuhn-Tucker conditions – Quadratic programming – Separable
programming – Stochastic programming – Geometric programming
9
UNIT IV INTEGER PROGRAMMING AND DYNAMIC PROGRAMMING AND
NETWORK TECHNIQUES 12
Integer programming - Cutting plane algorithm, Branch and bound technique, Zero-one implicit
enumeration – Dynamic Programming – Formulation, Various applications using Dynamic
Programming. Network Techniques – Shortest Path Model – Minimum Spanning Tree Problem –
Maximal flow problem.
UNIT V ADVANCES IN SIMULATION 9
Genetic algorithms – simulated annealing – Neural Network and Fuzzy systems
TOTAL: 45 PERIODS
REFERENCES:
1. R. Panneerselvam, “Operations Research”, Prentice Hall of India Private Limited, New Delhi 1 –
2005
2. J.K.Sharma, Operations Research – Theory and Applications – Macmillan India Ltd., 1997
3. Hamdy A. Taha, Operations Research – An Introduction, Prentice Hall of India, 1997
4. P.K. Guptha and Man-Mohan, Problems in Operations Research – Sultan chand & Sons, 1994
5. Ravindran, Philips and Solberg, Operations Research Principles and Practice, John Wiley & Sons,
Singapore, 1992