Supply Chain Optimization
Learn practical optimization techniques using Excel for capacity planning, resource allocation, and Monte Carlo simulation.
Learn practical optimization techniques using Excel for capacity planning, resource allocation, and Monte Carlo simulation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Leverage Data Science for a More Agile Supply Chain Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Set up optimization problems in Excel
Perform capacity and resource optimization
Implement Monte Carlo simulation techniques
Build demand and inventory snapshots
Optimize supply chain decisions under uncertainty
Skills you'll gain
This course includes:
1.2 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This advanced course teaches practical optimization techniques for supply chain management using Excel. Students learn to formulate and solve capacity optimization problems, perform resource allocation analysis, and use Monte Carlo simulation for risk assessment. The curriculum combines theoretical concepts with hands-on Excel exercises and real-world applications.
Optimization Defined
Module 1 · 1 Hours to complete
Capacity Optimization
Module 2 · 1 Hours to complete
Resource Optimization
Module 3 · 1 Hours to complete
Monte Carlo Simulation
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Supply Chain Thought-Leader and Educator
Paul has over 18+ years of consulting and supply chain experience working with Fortune 100, 500, and 1000 companies. He has successfully executed multiple multi-year, multi-million transformation engagements and countless supply chain assessments and design projects for clients in the food, retail, manufacturing, and energy sectors. His experience includes end-to-end supply chain assessment and design, network strategy, strategic sourcing, data visualization, and Sales and Operations Planning. In addition to supply chain advisory work, Paul also teaches operations and supply chain management at the University of Toronto and the University of California, Irvine.
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4.5 course rating
20 ratings
Frequently asked questions
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