INDUSTRIAL REVOLUTION 4.0 MANUFACTURING ... -...
Transcript of INDUSTRIAL REVOLUTION 4.0 MANUFACTURING ... -...
MANUFACTURING TRANSFORMATIONPROGRAMME5 Days Workshop Series
INDUSTRIAL REVOLUTION 4.0
www.ecot.com.my
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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)
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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?
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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: [email protected]