Supply Chain Analytics: Strategic Value Cases
Supply Chain Analytics: Strategic Value Cases, available at $19.99, has an average rating of 4.45, with 21 lectures, based on 13 reviews, and has 44 subscribers.
You will learn about Overview of supply chain analytics strategy, understand the bigger picture of use cases! Case Examples on over 20 supply chain analytics cases to enable you for a quick start Link the most relevant Plan, Source, Make, Deliver processes to analytics cases to support supply chain management A starting point for your supply chain analytics journey from simple analysis to full blown strategic embedding This course is ideal for individuals who are For supply chain managers and analytics leaders understanding the bigger strategy or For managers and practitioners searching for the big data driven value cases or For data scientists moving into the supply chain management domain or Everybody interested in the bigger picture of supply chain analytics It is particularly useful for For supply chain managers and analytics leaders understanding the bigger strategy or For managers and practitioners searching for the big data driven value cases or For data scientists moving into the supply chain management domain or Everybody interested in the bigger picture of supply chain analytics.
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Summary
Title: Supply Chain Analytics: Strategic Value Cases
Price: $19.99
Average Rating: 4.45
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Overview of supply chain analytics strategy, understand the bigger picture of use cases!
- Case Examples on over 20 supply chain analytics cases to enable you for a quick start
- Link the most relevant Plan, Source, Make, Deliver processes to analytics cases to support supply chain management
- A starting point for your supply chain analytics journey from simple analysis to full blown strategic embedding
Who Should Attend
- For supply chain managers and analytics leaders understanding the bigger strategy
- For managers and practitioners searching for the big data driven value cases
- For data scientists moving into the supply chain management domain
- Everybody interested in the bigger picture of supply chain analytics
Target Audiences
- For supply chain managers and analytics leaders understanding the bigger strategy
- For managers and practitioners searching for the big data driven value cases
- For data scientists moving into the supply chain management domain
- Everybody interested in the bigger picture of supply chain analytics
This course is designed for individuals at all levels of expertise in supply chain analytics, from beginners to experts and managers, who aim to grasp and influence the overarching analytics strategy. The cases presented lay the groundwork for developing a comprehensive supply chain analytics approach.
This course offers an in-depth overview of supply chain analytics cases to optimize global supply chains. As businesses expand and their supply chain structures grow in complexity, the need for enhanced visibility and decision support becomes imperative.
Overall, we outline more than 20 high-impact value cases throughout the supply chain, focusing on the overarching process perspective. Analytics demands thorough integration into processes to support data-driven decision-making effectively. Many of these cases span classical supply chain management practices to advanced data science skills. Nearly every case can be implemented from simple to complex.
The initial session will break down the four critical components of supply chain management: sourcing, production, planning, and distribution. Subsequent sections will explore how analytics can be integrated into each segment to enhance efficiency and flexibility.
Planning aims to optimize the distribution of resources in line with the capacities throughout the entire supply chain. Analytics can play a crucial role at various stages within the so-called ‘supply chain planning matrix,’ beginning with sophisticated forecasting and inventory management. We will discover that forecasting demand patterns accurately at strategic, tactical, and operational levels is essential and that fine-tuning inventory levels represents a prime opportunity for applying analytics.
In the sourcing module, analytics are applied to improve supplier selection and performance, ensuring high-quality inputs. By analyzing supplier data, companies can identify risks and opportunities in their supply chain, leading to more informed decision-making.
The making phase utilizes analytics to refine manufacturing processes, from cost reduction to predictive maintenance. This includes using sensors linked to process status information to monitor equipment health, predict failures, and optimize production schedules.
Lastly, the delivery aspect leverages analytics to enhance customer satisfaction and streamline delivery logistics. This involves using real-time tracking and route optimization algorithms to reduce shipping times and costs.
At the end of this lecture, attendees will possess a thorough grasp of the vast array of analytics applications within supply chain management. You will be introduced to fundamental best practices for your analytics journey. This knowledge aims to enable everyone to back data-driven decisions that boost operational efficiency, cut costs, and elevate customer satisfaction.
Course Curriculum
Chapter 1: Introduction and Overview
Lecture 1: Supply Chain Analytics Overview
Lecture 2: Supply Chain Processes Overview
Chapter 2: Analytics Cases: Planning and Inventories
Lecture 1: Forecasts
Lecture 2: Inventory Management
Lecture 3: Multi Echelon Optimisation
Lecture 4: Vendor Managed Inventories
Chapter 3: Analytics Cases: Production Efficiencies
Lecture 1: Production Scheduling Optimization
Lecture 2: Batch or Lot Size Optimization
Lecture 3: Overall Equipment Efficiency – Root Cause Analytics
Lecture 4: Predictive Maintenance
Lecture 5: Vision Systems – AI in Quality Assurance
Lecture 6: Digital Twins
Lecture 7: Compliance Information Extraction from Text
Chapter 4: Strategic Layer Analytics
Lecture 1: Supply Chain Risk – Supplier Risk
Lecture 2: Supply Chain Segmentation
Lecture 3: Supply Chain Network Design
Lecture 4: S&OP Process – Control Tower
Chapter 5: Delivery Performance
Lecture 1: Transport Costs and Modes
Lecture 2: Delivery Route Optimization
Lecture 3: Delivery Time Prediction
Lecture 4: Order Fulfillment Analytics – Hunting OTIF
Instructors
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Frank Kienle
Head of Data Science, Digital Strategy Manager
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- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 8 votes
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