Learn data-driven approaches to optimize inventory levels, manage demand variability, and improve customer service through strategic inventory control.
Learn data-driven approaches to optimize inventory levels, manage demand variability, and improve customer service through strategic inventory control.
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.
4.6
(135 ratings)
8,842 already enrolled
Instructors:
English
Tiếng Việt
What you'll learn
Master inventory management in uncertain environments
Calculate optimal inventory levels using Excel
Determine safety stock for customer service targets
Apply newsvendor model for single-period items
Analyze demand patterns and variability
Skills you'll gain
This course includes:
0.9 Hours PreRecorded video
4 quizzes
Access on Mobile, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores advanced inventory management techniques using data science. Students learn to analyze demand patterns, calculate optimal inventory levels, and manage uncertainty in supply chains. The curriculum covers steady-state demand analysis, safety stock calculations, customer service level optimization, and the newsvendor model. Through practical exercises in Excel, learners develop skills in data-driven inventory decision making.
Steady-State Demand: No Demand Variability
Module 1 · 1 Hours to complete
Inventory Management with Demand Variability
Module 2 · 1 Hours to complete
Inventory as a Strategic Tool to Meet Customer Service Level
Module 3 · 1 Hours to complete
Newsvendor Model (One-Period Decision Model)
Module 4 · 1 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.
Testimonials
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4.6 course rating
135 ratings
Frequently asked questions
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