Big Data Analytics for Optimizing the Supply Chain

Introduction

This highly interactive and comprehensive course in Big Data Analytics for Optimizing the Supply Chain is designed to address the challenges faced by today’s supply chains and prepare professionals for future challenges. It is essential for anyone involved in the supply chain and logistics continuum.

Participants will learn to forecast market demands and implement strategies to optimize activities, reduce costs, and enhance service delivery. The course focuses on advanced data analytics methods to minimize lead times and operating costs, facilitating a smooth transition to Industry 4.0.

The course aims to transform supply and demand chain patterns using big data to boost efficiency and effectiveness. Participants will gain in-depth knowledge of how to analyze big data, extract valuable insights, and apply optimization techniques to streamline supply chain activities.

Participants will explore various optimization techniques to improve all segments of the supply chain, including forecasting, inventory control, logistics, and distribution. The course promotes a data-driven approach to supply chain management, fostering competencies necessary for effective supply chain optimization.

Objectives

By the end of the Big Data Analytics for Optimizing the Supply Chain course, participants will be able to:

• Utilize big data analytics to identify supply chain trends and behaviors
• Model supply chain dynamics in virtual environments and explore profit-maximizing options
• Map and optimize essential big data sources in supply chain and logistics
• Analyze customer behavior patterns and make anticipatory forecasts
• Re-engineer the supply chain using existing facilities and cycle times for improvements
• Prepare for the adoption of Supply Chain 4.0 within Industry 4.0

Training Methodology

• Interactive lectures
• Case studies
• Group discussions
• Workshops
• Data simulations
• Hands-on projects
• Real-world problem-solving

Course Outline

Unit 1: Industry 4.0 and Its Impact on Supply Chain

• Overview of Industry 4.0
• Drivers and impacts of Industry 4.0
• Supply chain and logistics in Industry 4.0
• Constructing a new supply chain and logistics in the 4.0 era

Unit 2: Big Data in Supply Chain and Logistics

• The 5 V's of Big Data: Volume, Velocity, Variety, Value, Variability, Veracity
• Identifying sources of massive information in supply chain and logistics
• Rationalization methods for the supply chain (k-means, Apriori, Aykin, Babu algorithms)

Unit 3: Supply Chain Optimization

• Focusing on customer needs
• Enhancing sales functionality
• Improving distribution
• Managing inventory more effectively

Unit 4: Optimization of Production Processes

• Reducing total product costs and encouraging new products
• Restructuring production workflows with big data analysis
• Enhancing logistic operations using big data analytics
• Utilizing advanced models for future predictions

Unit 5: Integration of Modern Software with Existing ERP Systems

• Overview of AnyLogic Cloud
• Addressing compatibility issues between AnyLogic and ERP systems
• Designing RFID and vehicle tracking systems for improved communication
• Methods for rapid data extrapolation to enhance analysis and computation speed