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Job Shop Scheduling Using MILP Optimization on RStudio

By Coursera on Coursera · Data Science
Price
Free

About This Course

Welcome to "Job Shop Scheduling Using MILP Optimization on RStudio". This is a project-based course which should take under 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will gain introductiory knowledge of Job Shop Scheduling, Mixed Integer Linear Programming (MILP), be able to use R Studio and lpSolveAPI library, formulate Jobshop scheduling problem as an optmisation problem & determine the objective function, apply constraints, run optimiser, obtain & analyse the solution. This course is at an intermediate level, and assumes knowledge of following: 1. Familiarity R language, including vectors, data frames, loops etc, and RStudio. 2. Linear Programming basics.

Instructor

Moses Gummadi

Frequently Asked Questions

How much does Job Shop Scheduling Using MILP Optimization on RStudio cost?
Visit the Job Shop Scheduling Using MILP Optimization on RStudio course page for current pricing and available discounts.
Who teaches Job Shop Scheduling Using MILP Optimization on RStudio?
Job Shop Scheduling Using MILP Optimization on RStudio is taught by Moses Gummadi, Coursera.
What skill level is Job Shop Scheduling Using MILP Optimization on RStudio for?
This course is designed for beginner learners.