Jump to content

MCL261: Difference between revisions

From IITD Wiki
[checked revision][checked revision]
Creating course page via bot
 
Bot: wrap bare course codes in wikilinks
 
Line 4: Line 4:
| credits = 3
| credits = 3
| credit_structure = 3-0-0
| credit_structure = 3-0-0
| pre_requisites = MCL261, MCL262
| pre_requisites = MCL261, [[MCL262]]
| overlaps =  
| overlaps =  
}}
}}


== MCL261 : Introduction to Operations Research ==
== MCL261 : Introduction to Operations Research ==
Introduction to Modeling, Linear Programming - Formulation, Solution methods including Simplex, Primal-Dual, Integer Programming- Formulation, Solution methods, Introduction to Dynamic Programming, Software Tools and Case Studies. MCp261 Industrial Engineering Laboratory-I 1 Credit (0-0-2) Deterministic optimization problem formulation, solution using CPLEX, sensitivity analysis; Conceptualization/Visualization of problem situation, formulation of simulation model, simulation runs and output analysis.
Introduction to Modeling, Linear Programming - Formulation, Solution methods including Simplex, Primal-Dual, Integer Programming- Formulation, Solution methods, Introduction to Dynamic Programming, Software Tools and Case Studies. [[MCp261]] Industrial Engineering Laboratory-I 1 Credit (0-0-2) Deterministic optimization problem formulation, solution using CPLEX, sensitivity analysis; Conceptualization/Visualization of problem situation, formulation of simulation model, simulation runs and output analysis.

Latest revision as of 16:38, 14 April 2026

MCL261
Introduction to Operations Research
Credits 3
Structure 3-0-0
Pre-requisites MCL261, MCL262
Overlaps

MCL261 : Introduction to Operations Research

Introduction to Modeling, Linear Programming - Formulation, Solution methods including Simplex, Primal-Dual, Integer Programming- Formulation, Solution methods, Introduction to Dynamic Programming, Software Tools and Case Studies. MCp261 Industrial Engineering Laboratory-I 1 Credit (0-0-2) Deterministic optimization problem formulation, solution using CPLEX, sensitivity analysis; Conceptualization/Visualization of problem situation, formulation of simulation model, simulation runs and output analysis.