Job Shop Scheduling Using MILP Optimization on RStudio
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...
By Moses Gummadi on Coursera
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.
Topics Covered
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.
Similar Courses
TensorFlow: Advanced Techniques
DeepLearning.AI
Microsoft Azure AI Fundamentals AI-900 Exam Prep
Microsoft
Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau
Packt
Data Literacy: Exploring and Visualizing Data
SAS