Course Description

INTRODUCTION

As the Industry appears the lifeblood of it will continue to be the supply chain and logistics, the clogs and interruptions in the flow can choke the life out of it and can reduce the benefits from the industries' improvement. Therefore, the Supply Chain and Logistics 4.0 is needed to carry all the goods and information that the industry is creating and enable the final product to reach the customers.

As the availability of the data grows there is an opportunity to move away from the previously used techniques of forecasting and transfer into the realm of Big Data and Artificial Intelligence (AI). Data analysis, planning and real time reaction to the changes in supply chain become the "must haves”. With the use of the tools available for the Big Data analysis and dynamic simulation we are now able to have a glimpse into the future and make a decision based on the dynamic simulation of agent and process behavior.

This Big Data Analytics for Supply Chain Optimization training course is there to help institutions, companies and individuals transform their existing supply chain to a Supply Chain and be competitive within the fourth industry revolution.

Objectives

At the end of this Big Data Analytics for Supply Chain Optimization training course, attendees will learn 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 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  as integral part of Industry .

The benefit of this course

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 Artificial Intelligence (AI) field

Enabling people to make long terms decisions while leaving short term decisions to technology

The knowledge of Big Data sources within the supply chain and logistics

Insight into the Big Data analysis techniques

Available software for Big Data analysis and dynamic simulation

The way how to decide which decisions should be made and which left to the machines and systems.

Course Outline

Day 1

Industry and Its Impact on Supply Chain

Industry introduction

Industry drivers and impacts

Supply chain and logistics within the Industry

Vision of the Supply Chain 4.0 and the future of logistics

Day 2

Big Data in Supply Chain and Logistics

Big Data 5V’s in supply chain and logistics

Volume

Velocity

Variety

Value

Veracity

Sources of Big Data within the supply chain and logistics

Day 3

Supply Chain Optimization

Framework oriented on customer requirements

Optimizing the sell operations

Optimization of distribution

Day 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 Optimization of inventory management

Day 5

Integration of Modern Software with Existing ERP Software

The AnyLogic cloud

Interoperability of AnyLogic and AnyLogistics with ERP software platforms

RFID and vehicle tracking systems connectivity

Data extrapolation for faster analysis and computation.