Supply Chain Network Optimization
Supply Chain Network Optimization Using MILP on RStudio
Supply Chain Network Optimization Using MILP on RStudio
Instructor: Moses Gummadi
Access provided by SGCSRC
1,541 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.4
(13 reviews)
Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Formulate Optmisation Problem & Determine Objective Function
Apply Constraints & Solve Mixed Integer Linear Programming Model
Obtain & Analyse Optimized Supply Chain Network
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Formulate Supply Chain Network Problem & Determine Objective Function
Apply Constraints On Factory Production Capacities
Apply Flow Contraints on Distribution Centres
Apply Demand Constraints On Customer Locations
Run Optimiser, Obtain & Analyse Solution
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Instructor
10 Courses9,695 learners
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How you'll learn
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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Learner reviews
4.4
13 reviews
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Showing 3 of 13
GL
5
Reviewed on Jul 18, 2023
Excellent hands-on guide to using MILP on R. Especially for those who wants more than excel Solver.
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