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Line Balancing With MILP Optimization In RStudio

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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

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Unlock the power of RStudio for optimizing production lines with the "Line Balancing With MILP Optimization In RStudio" course. Designed for data science and AI enthusiasts, this foundational course offers a hands-on approach to mastering the R lpSolveAPI. Led by expert instructors from Coursera, you will delve into formulating line balancing problems, determining objective functions, and applying various constraints on task assignments. In just 120 minutes, you will gain practical skills in: - Formulating and solving line balancing problems - Implementing constraints for task assignments and durations - Managing task precedence relationships - Running optimizers and analyzing solutions effectively Ideal for beginners, this course is perfect for anyone looking to enhance their data science toolkit. Available with a Starter subscription, it provides a comprehensive introduction to MILP optimization in RStudio. Join now and take your first step towards optimizing production efficiency with advanced data science techniques.