Course Details
Subject {L-T-P / C} : ME4272 : Industrial Engineering Project { 0-0-2 / 1}
Subject Nature : Practical
Coordinator : Prof. Siba Sankar Mahapatra
Syllabus
Generation and Testing of Random numbers: Solution of Queuing problem Design of Network system and find its optimal solution Formulation and solution of practical industrial problems using LP Solution of Transportation and Assignment problem Conceptual Design of a product focused system for high volume rate Design of Functional Layout using numerical technique Conceptual Design of a job shop for optimal man& machine use Optimal cell formation for batch production Brain storming session to reach an optimal decision point Design and determination of Optimal Schedule for Maintenance for a medium plant Application of advanced forecasting techniques for sales Acquaintance with advanced Flow shop and Job Shop scheduling techniques
Course Objectives
- To acquire the knowledge on system view of industrial settings
- To gain knowledge on virtual simulation of industrial operations to save time and cost before actual real-life operations
- To get aware of methods available to solve complex industrial problems
- To acquaint with decision making strategies in industrial setting
Course Outcomes
The course helps to get expertise on real life complex industrial problems using continuous and discrete simulation. <br />The coding of programs/algorithms helps to improve coding strength. <br />Exposure on decision making approaches helps to make right kind of decision in critical industrial situation. <br />Exposure on operations research helps to improve mathematical approach in problem solving.
Essential Reading
- Averill M. Law and W David Kelton, SIMULATION MODELING & ANALYSIS, McGRAW-HIll INTERNATIONAL EDITIONS
- Jerry Banks, John S Carson, Berry L. Nelson and David M Nocol, Discrete Event System Simulation, PEARSON
Supplementary Reading
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