Line Balancing With MILP Optimization In RStudio

Formulate Optmisation Problem & Determine Objective Function
Apply Constraints F& Solve Mixed Integer Linear Programming Model
Obtain & Analyse Optimized & Balanced Line
Formulate Optmisation Problem & Determine Objective Function
Apply Constraints F& Solve Mixed Integer Linear Programming Model
Obtain & Analyse Optimized & Balanced Line
By the end of this project, you will learn to use R lpSolveAPI. You will learn to: # Formulate Line Balancing Problem & Determine Objective Function # Apply Constraints On Tasks Assignment To Stations # Apply The Sum Of Durations Constraints On Tasks # Apply Task Precedence Relationship Constraints # Run Optimiser, Obtain & Analyse Solution
Mathematical Optimization
Line Balancing
R Programming
Data Analysis
Rstudio
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Formulate Line Balancing Problem & Determine Objective Function
Apply Constraints On Tasks Assignment To Stations
Apply The Sum Of Durations Constraints On Tasks
Apply Task Precedence Relationship Constraints
Run Optimiser, Obtain & Analyse Solution
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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