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November 29, 2023
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Recommended experience
Intermediate level
1. Familiarity R language, including vectors, data frames, loops etc, and RStudio.
2. Linear Programming basics.
Recommended experience
Intermediate level
1. Familiarity R language, including vectors, data frames, loops etc, and RStudio.
2. Linear Programming basics.
Formulate Jobshop Scheduling Problem & Determine Objective Function
Apply Constraints & Solve Mixed Integer Linear Programming Model
Obtain & Analyse Jobshop Schedule, Plot Schedule Gantt Charts
Add to your LinkedIn profile
Only available on desktop
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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction & Load The Libraries
Formulate Jobshop Scheduling Problem
Apply The Makespan Constraint
Apply Precedence Constraints on Tasks
Apply No-Overlap Constraint on Tasks
Run Optimiser, Obtain & Analyse Solution
1. Familiarity R language, including vectors, data frames, loops etc, and RStudio.
2. Linear Programming basics.
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Coursera Project Network
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The University of Melbourne
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.