To equip students with advanced knowledge and skills to analyze and solve complex decision-making problems that arise in various engineering and industrial settings. Quantitative methods to optimize resource allocation, improve efficiency, and make informed decisions in the face of constraints and uncertainties will also be covered.
CILO
On Completion of this course, the learner will be able to
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Learning Outcome Description
1
Apply linear programming methods in solving practical problems in industry
2
Interpret transportation models and infer solutions to the real-world problems
3
Formulate Network models for service and manufacturing systems, and apply operations research techniques and algorithms to solve Network problems
4
Analyze the inventory and apply them in domain specific situations
Requisites
No requisites
Examinations
Assessment Type Examination (Unseen)
Assessment Type Examination (Unseen)
No Other Controlled Assessments
Uncontrolled Assessments
Assessment Type Case Study
Assessment Type Presentation
The institute reserves the right to alter the nature and timings of assessment
Affiliated Entities
Entity Code
Entity Title
Entity Version
Entity Type
ENT7025
Associate degree in Engineering (Industrial Design and Process)
1
Programme
ENT8025
Bachelor of Engineering (Industrial Design and Process)
