Big Data Analytics for Supply Chain Optimization

Introduction:

This highly-interactive course will provide the sufficient knowledge of how to tackle the issues within the Supply Chains of today and the future. It will help people involved in Supply Chain and Logistics learn skills and techniques that enable them to be able to predict the requirements of the market while at the same time applying techniques that help team members optimize their activities, costs, and service provision.

This course will examine the latest ways to apply the Big Data Analytics techniques for Optimization of Supply Chains as well as Logistics operations and help reduce the lead time, operational costs and get into the Industry 4.0 without delay.

Targeted Groups:

• Business Improvement Specialists
• Industry 4.0 Pioneers and Practitioners
• Supply Chain Managers
• Operation Managers
• Project Managers
• Finance Managers
• IT Managers
• Consultants

Course Objectives:

At the end of this course the participants will be able to:

• Use Big Data analysis tools and techniques to identify patterns in Supply Chain behavior
• Create virtual models of Supply Chains and choose between alternatives with the highest profits
• Identify the sources of Big Data in their Supply Chain and Logistics and streamline their use
• Create a customer behavior patterns and recognize possible changes in these patterns
• Plan for the improvement in their Supply Chain with existing facilities and workforce
• Prepare for the incoming Supply Chain 4.0 as an integral part of Industry 4.0

Targeted Competencies:

• Big Data sources within their own Supply Chain
• Interoperability with other Supply Chains
• Dynamic simulation based on the Big Data analytics results and real-time cost/benefit analysis
• Easy and fast short term forecasting for immediate decision making
• Moving the cumbersome decision making to the artificial intelligence field
• Enabling people to make long terms decisions while leaving short term decisions to technology

Course Content:

Unit 1: Industry 4.0 and Its Impact on Supply Chain: 

• Industry 4.0 Introduction
• Industry 4.0 Drivers and Impacts
• Supply Chain and Logistics within the Industry 4.0
• Vision of the Supply Chain 4.0 and the Future of Logistics

Unit 2: Big Data in Supply Chain and Logistics:

• Big Data 5V’s in Supply Chain and Logistics
• Volume
• Velocity
• Variety
• Value
• Variability
• Veracity
• Sources of Big Data within the Supply Chain and Logistics
• Data-Driven Supply Chain Optimization (k-means, Apriori, Aykin and Babu algorithms)

Unit 3: Supply Chain Optimization: 

• Framework Oriented on Customer Requirements
• Optimizing the Sell Operations
• Optimization of Distribution
• Optimization of Inventory Management

Unit 4: Optimization of Manufacturing Process: 

• Optimizing Product Design and Innovation
• Optimizing the Production Process
• Big Data Analysis of Logistics Activities
• Using Created Models as Agents for Future Models Creation

Unit 5: Integration of Modern Software with Existing ERP Software: 

• The AnyLogic Cloud
• Interoperability of AnyLogic and any logistics with ERP Software Platforms
• RFID and Vehicle Tracking Systems Connectivity
• Data Extrapolation for Faster Analysis and Computation