- Level Foundation
- المدة
- الطبع بواسطة Rutgers the State University of New Jersey
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Offered by
عن
This Specialization is intended for people seeking to integrate supply chain management with data analytics. Through five courses, you will discover and solve problems in various domains of a supply chain, from source, make, move to sell. Upon completion, you will learn concrete data analytics skills and tools to improve supply chain performance. Supply Chain Analytics Essentials: Supply chain pain points and how analytics may relieve them, job opportunities and intelligence. Business intelligence and Competitive Analysis: Use data analytics to assess the competitive environment and discover business problems and opportunities. Demand Analytics: Data analytics for demand forecasting and planning. Inventory Analytics: Discover and solve inventory problems - an essential part of Sales & Operations Planning. Supply Chain Analytics: Use analytics to design logistics strategies for a large-scale distribution system.الوحدات
The Story of VASTA and Course Overview
1
Discussions
- Introduction
3
Videos
- The Story of VASTA
- Course Overview
- Weekly Preview
1
Readings
- Is This Course Right For Me?
Competitive Analysis and Benchmarking
1
Assignment
- Week 1 Quiz (Multiple Answers)
1
Videos
- Competitive Analysis and Benchmarking
1
Readings
- A Mini-Case of Supply Chain Benchmarking
General Principles of Supply Chain Planning
1
Assignment
- General Principles of Supply Chain Planning
1
Videos
- Drivers and Trade-offs in Supply Chain Planning
1
Readings
- The Shipping vs. Inventory Trade-off in Supply Chain Planning
Intuition of Push vs Pull Strategies
1
Assignment
- Intuition of Pull vs Push Strategies
1
Videos
- Intuition of Pull vs Push Strategies
Data Collection and Cost Estimation
2
Videos
- Inventory & Shipping Cost Estimates
- Warehouse Pick / Pack Cost Estimate, Sales and Inventory Data
1
Readings
- Cost Estimation Formulas and Data Excel File
Supply Chain Analytics
1
Assignment
- Week 3 Quiz
2
Videos
- Supply Chain Analytics I: Hot-Smart & Hot-Feature
- Supply Chain Analytics II: Cold-Smart, Cold-Feature & Net Impact
1
Readings
- Analytics Calculation Formulas and Excel File
Customer Experience and Implementation
1
Discussions
- Advantages and Disadvantages of Store vs Showroom Models
2
Videos
- Store Operations, Customer Experience & Shipping
- Implementation and Epilogue
Supply Chain Analytics Project
1
Peer Review
- Supply Chain Analytics Project
1
Videos
- Project Description
1
Readings
- Project Description and Data
Auto Summary
Discover the art of integrating supply chain management with data analytics through Coursera's "Supply Chain Analytics" specialization. Perfect for business and management enthusiasts, this foundational course spans five modules, covering essentials from demand forecasting to logistics strategies. Ideal for those looking to enhance supply chain performance, it offers practical tools and skills for real-world application. Enroll through a Starter subscription and start transforming supply chain challenges into opportunities.

Yao Zhao