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Job Shop Scheduling Using MILP Optimization on RStudio
  • Level Intermediate
  • Duration 2 hours
  • Course by Coursera Project Network
  • Offered by

About

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.

Modules

Your Learning Journey

    • 2 Readings
    • 1 Plugin
    • 1 Lab
    • 1 Assignment
Show info about module content

1 Assignment

  • Assess Your Knowledge

1 Labs

  • Job Shop Scheduling Using MILP Optimization on RStudio

2 Readings

  • Project Overview
  • R Script Files, Data Files & PDF

Auto Summary

Unlock the power of Job Shop Scheduling with MILP Optimization on RStudio through this engaging, project-based course designed for professionals. In under 2 hours, you'll master formulating and solving optimization problems using RStudio and the lpSolveAPI library. Ideal for those with intermediate R language and Linear Programming knowledge, this course provides practical skills in applying constraints, running optimizers, and analyzing solutions. Available on Coursera with a Starter subscription, it’s perfect for personal development in optimizing job schedules efficiently.

Moses Gummadi
Instructor

Moses Gummadi