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1. Formulate problems in elasticity and select appropriate solution techniques.
2. Understand basics and solve elementary problems of theory of plasticity.
3. Analyse metal forming processes using slab method.
4. Use advanced tools like slipline techniques and bound theorems for metal forming analysis.
and apply principles of data collection and description.
business problems with appropriate probability distributions and
statistical terms to make better decisions.
between the various statistical tests and apply an appropriate test in the
context of the problem.
critical and integrative thinking in order to communicate the results of
the analysis clearly in the context of the problem.
Content and Objective:
Every business in the world needs to make complex decisions. Operations
Research (OR) provides the tools needed to make intelligent decisions in view
of optimization. This course will focus on mathematical modelling. As a part of
this course the students will be given sufficient training in model
formulation. On the methodology part, Linear Programming techniques will be
introduced. Students will have the ability to solve a transportation problem,
assignment problem, game theory problem, queuing theory problem and dynamic programming
problem. During the course students will learn how to solve linear programming
problems using Excel solver and other optimization software like LINGO and AMPL.
At the end of the course, students must have the skills to build their own
formulations and to choose an appropriate solution technique for a given
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