Job Shop Scheduling Using MILP Optimization on RStudio
By External Provider
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.
What you will learn
- Formulate Jobshop Scheduling Problem & Determine Objective Function
- Apply Constraints & Solve Mixed Integer Linear Programming Model
- Obtain & Analyse Jobshop Schedule, Plot Schedule Gantt Charts