MANUFACTURING TRANSFORMATIONPROGRAMME5 Days Workshop Series

INDUSTRIAL REVOLUTION 4.0

www.ecot.com.my

Affiliate Member:

Industry 4.0 Applications Today While many organizations might still be in denial about how Industry 4.0 could impact their business or struggling to find the talent or knowledge to know how to best adopt it for their unique use cases, several others are implementing changes today and preparing for a future where smart machines improve their business. Here are just a few of the possible applications:

We’re in the midst of a significant transformation regarding the way we produce products thanks to the digitization of manufacturing. This transition is so compelling that it is being called Industry 4.0 to represent the fourth revolution that has occurred in manufacturing.

From the first industrial revolution (mechanization through water and steam power) to the mass production and assembly lines using electricity in the second, the fourth industrial revolution will take what was started in the third with the adoption of computers and automation and enhance it with smart and autonomous systems fueled by data and machine learning.

IDENTIFY OPPORTUNITIES

OPTIMIZE LOGISTICS AND SUPPLY CHAINS

AUTONOMOUS EQUIPMENT AND VEHICLE

ROBOTS

INTERNET OF THINGS AND THE CLOUD

ADDITIVE MANUFACTURING (3D PRINTING)

1

2

3

4

5

6

The Industrial Revolution 4.0 training curriculum has been designed keeping in view the participants who are decision makers or are part of the decision-making team of their respective organizations; and how they will be the part of the change management.

ECOT offers a 4-day training program aims to provide a vision and direction to the representatives of the industry to embrace the IR 4.0 principles and in turn find newer avenues for growth. The program will walk through the various branches of IR 4.0 and how in the real-world businesses can seek value form them

Why us?

6

What is Industrial Revolution 4.0?

Learning Outcomes

Be familiar with Cloud Computing and Robotic Process Automation systems

Mid-level and Senior-level Executives

Research and Development Heads, Industrial Engineering Heads

Understand key IoT technologies from Industrial IoT perspective and data analytics at the industrial level

Understand about Cyber Security and Cyber Systems in Industrial systems perspective

Understand about Machine Learning and Artificial Intelligence using Big Data

Be familiar with Industrial Revolution 4.0 and the role of Leadership combined with Technology

Who should attend:

Training Pathway

Candidates aspiring to be Consultants for IR 4.0 implementation

Chief Executive Officers, Managing Directors, Presidents, Vice Presidents, Senior Managers, General Managers

Plant Heads, Factory Heads, Operations Heads, Line Managers

Employees of organisations, which are planning to shift to Industrial Revolution 4.0, Smart Factories and Factories of Future

CLASSROOM TRAINING

CASE-STUDY

APPLICATION OF IR 4.0

TEAM ACTIVITIES

VIRTUAL SCENARIOS

COURSE DESCRIPTION

Computer Skills, Basic Knowledge of Electronics & Basic Knowledge of Industrial Domain Concepts

Requireed Knowledge:

What is Industry 4.0 Industrial Revolutions and Future The digital transformation of industry and the fourth industrial revolution Principles of “Smart Factory” Industry 4.0 (Industrie 4.0) Key Principles Automation Industry 4.0 and the Industrial Internet Industry 4.0 strategy & implementation Industry 4.0 challenges & risks Leadership & technology in Industry 4.0

Key IoT technologies Augmented-reality systems Advanced robotics and 3-D printing Autonomous activities Lean Manufacturing Implementation ViewpoinArchitectural Topology The Three-Tier Topology Connectivity Key System Characteristics Communication protocols IoT, IIoT (Industrial Internet of Things

Module 1: INDUSTRY 4.0 - INTRODUCTION

Limited Seats: Book your slot now!

Module 2: INTERNET THE NEW MASTER – IOT (INTERNET OF THINGS INDUSTRY 4.0)

Module 3: BOTTOMLESS STORAGE AND COMPARE -CLOUD COMPUTING

Module 5: DATA DRIVEN DECISION MAKING

Module 4: RPA (ROBOTIC PROCESS AUTOMATION) - THERELIABLE WORKER

COURSE OUTLINE

Cyber Security & Digital Industry 4.0 Infrastructure as a service (IaaS) Platform as a service (PaaS) Software as a service (SaaS) Mobile ‘backend” as a service (MBaaS) AWS Architecture Amazon EC2

Data the new oil Predictive Modeling Data Mining Supervised Unsupervised Data mining from Unstructured data – Text Analytics Principles of Deep Learning Forecasting – Principles and methods Disruptions in big data, analytic and business-intelligence capabilities

Factory 4.0 RPA – the philosophy The UiPath tool Blue Prism Automation – Scope and pitfalls

Call: +6 016-262 6437 Email: ezekiel@ecot.com.my