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How to Create a Smart Factory - InAuthor: Michael Shew Published date: 04.07.2023

Course Overview

1. HOW TO CREATE A SMART FACTORY-INDUSTRY 4.0

◉ Overview

HOW TO CREATE A SMART FACTORY-INDUSTRY 4.0: TRAINING OVERVIEW AND AGENDA

  LEARNING OUTCOME: STUDENTS HANDOUTS

  INTRODUCTION: EMPLOYEE SIGNATURE FORM

  MODULES: I - XIV:

  HOW TO CREATE A SMART FACTORY: SAMPLE DIPLOMA

2. MODULE I: WHAT IS A SMART FACTORY?

◉ Overview

LEARNING OUTCOME FOR MODULE I: SO, WHAT IS A SMART FACTORY?

 MODULE I: WHAT IS A SMART FACTORY?

 LESSON REVIEW: MODULE I - SO, WHAT IS A SMART FACTORY?

  INTERACTIVE INDUSTRIAL INTERNET OF THINGS (IIOT(

  INTERACTIVE INDUSTRY 4.0 IN DETAIL

Transforming a manufacturer that marries manufacturing

  techniques with the (IoT( to create a new manufacturing system.

Interconnected to communicate, analyze, and use the information to

drive further intelligent action back in the physical world.

At the heart of a smart factory is the Internet of Things (IoT(. So what (is

  IIoT( defined?

3. MODULE II: HOW TO CREATE A SMART FACTORY

◉ Overview

LEARNING OUTCOME FOR MODULE II: HOW TO CREATE A SMART FACTORY?

  MODULE II: HOW TO CREATE A SMART FACTORY

 LESSON REVIEW: MODULE II - HOW TO CREATE A SMART FACTORY?

  INTERACTIVE CHATBOTS FOR INDUSTRY 4.0

  INTERACTIVE NATURAL LANGUAGE PROCESSING (NLP(

The company will face a surge of new traceability, compliance, and cost accounting requirements. More production in any facility is

 only possible if workers can be freed from expensive, non-value- added (time spent searching for misplaced inventory and handwritten documentation.(

The number of variants to be accounted for and managed is excessive; the product could be manufactured in different ways.

 Therefore, the goal is to build and deliver a digital solution, first and foremost, capable of managing the data and workflow of this complex process.

  Will your smart factory require a Manufacturing Execution System?

4. MODULE III: WHAT IS INDUSTRY 4.0?

◉ Overview

  LEARNING OUTCOMES FOR MODULE III: WHAT IS INDUSTRY 4.0?

  MODULE III: WHAT IS INDUSTRY 4.0?

 LESSON REVIEW: MODULE III - WHAT IS INDUSTRY 4.0?

INTERACTIVE HYPERSCALERS IN THE IMPLEMENTATION OF A SMART FACTORY

INTERACTIVE D.A.M.I.C. FRAMEWORK FOR IMPLEMENTING A SMART FACTORY

 What is Industry 4.0?

An analog signal uses discrete (discontinuous( values. By contrast,

 non-digital (or analog( systems use a continuous range of values to represent information.

5. MODULE IV: CHANGING CUSTOMER DEMANDS TRIGGER DIGITAL SOLUTIONS

◉ Overview

LEARNING OUTCOMES FOR MODULE IV: CHANGING CUSTOMER DEMANDS TRIGGER DIGITAL SOLUTIONS

MODULE IV: CHANGING CUSTOMER DEMANDS TRIGGER DIGITAL SOLUTIONS

LESSON REVIEW: MODULE IV - CHANGING CUSTOMER DEMANDS TRIGGER DIGITAL SOLUTIONS

 MODULE IV: LEARNING OUTCOME: WHAT ARE MFGS DOING?

 MODULE IV: WHAT ARE MFGS DOING?

  MODULE IV: WHAT ARE MFGS DOING? LESSON REVIEW

Customers want shorter chains with faster production times.

 Smarter, digital-readied products. MFGs monitor, repair, or replenish products (JIT( before a customer or user needs them.

Businesses are creating factories of the future, automating ever-

 larger bands of production activities, and reimagining the role of their products once they are placed in customers' hands.

  What are the Main Business Drivers?

  A customized “MES” Solution can provide?

6. MODULE V: MANUFACTURERS’ OUTLOOK RESEARCH TOPIC ONE

◉ Overview

LEARNING OUTCOME FOR MODULE V: MANUFACTURERS' OUTLOOK SURVEY

  MODULE V: MANUFACTURERS’ OUTLOOK RESEARCH

LESSON REVIEW FOR MODULE V: MANUFACTURERS' OUTLOOK SURVEY

MFG activity plummeted sharply as businesses grappled with the

  COVID-19 pandemic and the global recession in the spring of 2020.

7. MODULE V: THE MANUFACTURERS’ OUTLOOK RESEARCH TOPIC TWO

◉ Overview

LEARNING OUTCOME FOR "THE MANUFACTURERS' OUTLOOK 2021 RESEARCH"

  THE MANUFACTURERS’ OUTLOOK RESEARCH: TOPIC TWO

LESSON REVIEW FOR MODULE V: MANUFACTURERS' OUTLOOK SURVEY

MFGs had the strongest outlook in nearly two years, since the third quarter of 2018, and manufacturers are predicting the highest levels

 of production, sales, and job growth in Outlook Survey history.

"National Association of Manufacturers (NAM( survey."

8. MODULE V: MANUFACTURERS’ OUTLOOK RESEARCH TOPIC THREE

◉ Overview

  MANUFACTURERS’ OUTLOOK RESEARCH: TOPIC THREE

MANUFACTURERS’ OUTLOOK RESEARCH: TOPIC THREE: DESPITE THE TURBULENCE

Workforce shortages and supply chain instability are reducing

  operational emciency and margins.

9. MODULE V: CHANGING CUSTOMER DEMANDS TRIGGER DIGITAL SOLUTIONS TOPIC FOUR A-E

◉ Overview

LEARNING OUTCOME FOR THE MODULE ON WORKFORCE SHORTAGE

  MODULE V: WORKFORCE SHORTAGE: TOPIC A

 LESSON REVIEW FOR "WORKFORCE SHORTAGE"

  LEARNING OUTCOME FOR "SUPPLY CHAIN INSTABILITY"

 MODULE V: SUPPLY CHAIN INSTABILITY: TOPIC B

 LESSON REVIEW FOR "SUPPLY CHAIN INSTABILITY"

  LEARNING OUTCOME FOR "SMART FACTORY INITIATIVES"

  MODULE V: SMART FACTORY INITIATIVES: TOPIC C

  LESSON REVIEW FOR "SMART FACTORY INITIATIVES"

  LEARNING OUTCOME FOR "CYBERSECURITY”

 MODULE V: CYBERSECURITY: TOPIC D

 LESSON REVIEW FOR “CYBERSECURITY”

 LEARNING OUTCOMES FOR "ESG INVESTMENT"

 MODULE V: ESG INVESTMENT: TOPIC E

  LESSON REVIEW FOR “ESG INVESTMENT”

  INTERACTIVE CYBERSECURITY SAFETY PRECAUTIONS

INTERACTIVE COMPANIES INVEST IN ESG (ENVIRONMENTAL, SOCIAL, AND GOVERNANCE( FOR SEVERAL REASONS

Organizations that can manage through workforce shortages and a

 rapid pace of change today can come out ahead.

Senior management reports continue to reveal systemwide

 complications from high demand, rising costs of raw materials and freight, and slow deliveries in the United States.

Smart factories, including greenfield and brownfield investments for

 many manufacturers, are viewed as one of the keys to driving competitiveness.

Cybersecurity with lower threats are leading the industry to new levels

  of preparedness.

 What does “ESG” mean?

10. MODULE VI: WHAT’S THE HISTORY FROM INDUSTRY 1.0 TO 4.0?

◉ Overview

MODULE XI: LEARNING OUTCOME: WHAT’S THE HISTORY FROM INDUSTRY 1.0 TO 4.0?

  MODULE VI: WHAT’S THE HISTORY FROM INDUSTRY 1.0 TO 4.0?

MODULE VI: WHAT IS INDUSTRY 1.0, 2.0, 3.0, AND 4.0? - LESSON REVIEW

MODULE XI: LEARNING OUTCOMES: IR 1.0 OR INDUSTRY 1.0, MEANING: THE FIRST INDUSTRIAL REVOLUTION

MODULE VI: IR 1.0 OR INDUSTRY 1.0, MEANING: THE FIRST



INDUSTRIAL REVOLUTION

MODULE VI: LESSON REVIEW: IR 1.0 OR INDUSTRY 1.0, MEANING: THE FIRST INDUSTRIAL REVOLUTION

  MODULE VI: DIFFERENCES BETWEEN INDUSTRY 1.0 AND 2.O

MODULE VI: LEARNING OUTCOMES: IR 2.0 OR INDUSTRY 2.0, MEANING: THE SECOND INDUSTRIAL REVOLUTION

MODULE VI: IR 2.0 OR INDUSTRY 2.0, MEANING: THE SECOND INDUSTRIAL REVOLUTION

MODULE XI: LESSON REVIEW: IR 2.0 OR INDUSTRY 2.0, MEANING: THE SECOND INDUSTRIAL REVOLUTION

  MODULE VI: DIFFERENCES BETWEEN 2.0 AND 3.0

LEARNING OUTCOMES FOR INDUSTRY 3.0, THE THIRD INDUSTRIAL REVOLUTION

MODULE VI: IR 3.0 OR INDUSTRY 3.0, MEANING: THE THIRD INDUSTRIAL REVOLUTION

LESSON REVIEW FOR INDUSTRY 3.0, THE THIRD INDUSTRIAL REVOLUTION

  MODULE VI: DIFFERENCES BETWEEN 3.0 AND 4.0

 MODULE VI: BENEFITS OF INDUSTRY 4.0

  LEARNING OUTCOMES FOR INDUSTRY 4.0 CHALLENGES

 MODULE VI: INDUSTRY 4.0 CHALLENGES

  LESSON REVIEW: INDUSTRY 4.0 CHALLENGES

MODULE VI: LEARNING OUTCOMES: EVOLUTION OF INDUSTRY 4.0: INDUSTRY 4.0 (OR FOURTH INDUSTRIAL REVOLUTION (4IR(( FUTURE(

MODULE VI: EVOLUTION OF INDUSTRY 4.0 INDUSTRY 4.0 (OR FOURTH INDUSTRIAL REVOLUTION (4IR( FUTURE(

MODULE VI: LESSON REVIEW: EVOLUTION OF INDUSTRY 4.0: INDUSTRY 4.0 (OR FOURTH INDUSTRIAL REVOLUTION (4IR(( FUTURE(

  INTERACTIVE MACHINE LEARNING IN DETAIL

 What industry revolution are we moving into?

The industrial revolution 1.0 began in the 18th century, from 1760 to

  1840.

 What are the differences between 1.0 and 2.0?

The second industrial revolution (Industry 2.0( began in the 19th

  century, around the 1890s. It mainly occurred in Germany, Africa, and Britain.

  The difference between Industry 2.0 to 3.0 is?

The third industrial revolution is also called the ‘Digital Revolution’ or

  the ‘First computer era.’ It began in the 20th century, around the 80s.

  The difference between industry 3.0 to 4.0 is?

 What are the benefits of industry 4.0?

  What are the challenges of Industry 4.0?

MFGs need to realize Industry 4.0 is not immediately possible in facilities famished with capital, antiquated or poor-performing

 operations, and paper-based systems. Dysfunctionality must be addressed before achieving these aspirational goals, or the 4.0 implementation will not work.

11. MODULE VII: KEY DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML)

◉ Overview

MODULE VII: LEARNING OUTCOMES: KEY DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE (AI( AND MACHINE LEARNING (ML(

MODULE VII: KEY DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE (AI( AND MACHINE LEARNING (ML(

MODULE VII: LESSON REVIEW: KEY DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE (AI( AND MACHINE LEARNING (ML(

MODULE VII: KEY DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE (AI( AND MACHINE LEARNING (ML(

SLIDE REVIEW: AI VS. MACHINE LEARNING: UNDERSTANDING THE DIFFERENCES

  INTERACTIVE ARTIFICIAL INTELLIGENCE IN DETAIL

 What is AI and ML defined?

Artificial intelligence is a technology that enables a machine to simulate human behavior. Machine learning is a of AI which

  allows a machine to automatically learn from past data without

programming explicitly.

 What is weak AI?

 What is general AI?

  What is strong AI?

 What is supervised learning?

  What is unsupervised learning?

  What is reinforcement learning?

12. MODULE VIII: REVIEW BENEFITS!

◉ Overview

MODULE VIII: LEARNING OUTCOMES FOR MODULE VIII: REVIEW BENEFITS! - BENEFITS OF A SMART FACTORY

  MODULE VIII: REVIEW BENEFITS!

  MODULE VIII: REVIEW BENEFITS! - BENEFITS OF A SMART FACTORY

  MODULE VIII: ROOT CAUSE OF FAILURE

SLIDE REVIEW: ROOT CAUSE - SURVIVAL OF ANALOG MANUFACTURERS

  MODULE VIII: WHAT IS DOWNTIME COSTING YOU?

 SLIDE REVIEW: WHAT IS DOWNTIME COSTING YOU?

  INTERACTIVE DIGITAL VS. ANALOG

  What are the Statistic Benefits of a Smart Factory?

 What is the Root Cause of Failure?

  What is any production Downtime Costing You?

13. MODULE IX: HOW DO YOU START YOUR DIGITAL TRANSFORMATION?

◉ Overview

LEARNING OUTCOMES FOR MODULE IX: HOW DO YOU START YOUR DIGITAL TRANSFORMATION?

MODULE IX: HOW DO YOU START YOUR DIGITAL TRANSFORMATION?

LESSON REVIEW FOR MODULE IX: HOW DO YOU START YOUR DIGITAL TRANSFORMATION?

MODULE IX: HOW WILL YOUR OPERATION ACHIEVE A MORE DIGITAL FUTURE?

SLIDE REVIEW: HOW WILL YOUR OPERATION ACHIEVE A MORE DIGITAL FUTURE?

 MODULE IX: WHAT APPROACH WILL YOUR OPERATION TAKE?

  SLIDE REVIEW: WHAT APPROACH WILL YOUR OPERATION TAKE?

  INTERACTIVE ANALYZING OPERATIONAL PILLARS IN INDUSTRY 4.0

  How Do You Start your Digital Transformation?

 How Will Your Operation Achieve a More Digital Future?

 What Approach Will Your Operation Take?

What are the four stages in a typical successful smart factory

  transformation?

14. MODULE X: WHERE ARE THE ENABLERS?

◉ Overview

 LEARNING OUTCOMES FOR MODULE X: WHERE ARE THE ENABLERS?

 MODULE X: WHERE ARE THE ENABLERS?

  MODULE X: WHERE ARE THE ENABLERS? - LESSON REVIEW

 MODULE X: A HIGHLY X, Y, AND Z MANUFACTURING PROCESS

SLIDE REVIEW: CLOUD COMPUTING IN MANUFACTURING: A HIGHLY X, Y, AND Z MANUFACTURING PROCESS

 MODULE X: WHAT ARE THE MAIN BUSINESS DRIVERS?

SLIDE REVIEW: MAIN BUSINESS DRIVERS AND ADDITIVE MANUFACTURING

  What are the Drivers and Enablers Behind These Changes?

Computing With the Industrial Internet of Things, (IIoT(, and Industry 4.0, data is generated at staggering speed and high

 volumes, making it impossible to handle manually. This creates a need for an infrastructure that can store and manage this data more emciently.

A production environment dealing with many variations is because production needs are extremely and can easily change in time according to customers’ demands, and a statically designed

  solution cannot cope with such requirements. Ensure data

maintenance changes applied to these parts must be easily transmitted.

15. MODULE XI: CUSTOMIZED “MES” SOLUTION

◉ Overview

  LEARNING OUTCOMES FOR MODULE XI

 MODULE XI: CUSTOMIZED “MES” SOLUTION

  MODULE XI: CUSTOMIZED MES SOLUTION - LESSON REVIEW

INTERACTIVE MANUFACTURING EXECUTION SYSTEM (MES( FOR A SMART FACTORY

INTERACTIVE COLLABORATIVE ROBOTS (COBOTS( AND AUGMENTED REALITY (AR( TECHNOLOGIES

INTERACTIVE AGILE METHODOLOGY IN IMPLEMENTATION FOR A SMART FACTORY

The design and implementation of a highly customized -

- (MES( solution able to cope with the complex

 assembly processes of product widgets, including handling a variety of different subassemblies and the traceability of their product family trees along the assembly line.

16. MODULE XII: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES) STEP I - X

◉ Overview

MODULE XII: STEP 1: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LEARNING OUTCOMES

MODULE XII: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP ONE

MODULE XII: STEP 1: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

Assess the state as a with a Core Value Assessment for an (uncertified valuation( of your company to achieve



a baseline and see all the potential red flags as immediate projects to begin optimizing.

MODULE XII: STEP 2: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP TWO

MODULE XII: STEP 2: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

Digital transformations are typically one-year, company-wide journeys that leadership must drive. A well-defined roadmap on how to get

 from here (modern factory( to there (smart factory(. Clear and realistic actions and timeframes to help your people share your smart factory vision and keep your vision on track.

MODULE XII: STEP 3: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP THREE

MODULE XII: STEP 3: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

Data architecture is a framework for how "IT" infrastructure supports your data strategy. Its goal is to show your company’s infrastructure.

  How data is acquired, transported, stored, queried, and secure, and

becomes the foundation of any data strategy.

MODULE XII: STEP 4: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES(: STEP FOUR

MODULE XII: STEP 4: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

In addition to having an effective data architecture in place, smart

 factories are characterized by digital technology, real-time data- driven systems, automation, and, sometimes, artificial intelligence.

MODULE XII: STEP 5: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP FIVE

MODULE XII: STEP 5: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

The Theory of Constraints is a methodology for identifying the least important limiting factor (i.e. constraint( that stands in the way of

 achieving a goal and then systematically improving that constraint until it is no longer the limiting factor. The Theory of Constraints takes a scientific approach to all improvement.

MODULE XII: STEP 6: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP SIX

MODULE XII: STEP 6: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

Your  architecture should enable you to identify and realize beneficial actions and outcomes to help your business create value,

  evolve, and grow. Could be improved customer insights or

operational changes that will drive emciency and business growth.

MODULE XII: STEP 7: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP SEVEN

MODULE XII: STEP 7: 10-STEP PROCESS MANUFACTURING



EXECUTION SYSTEM (MES( - LESSON REVIEW

Innovative solutions require a centralized engine, cross- functional team engagement, and rapid upskilling of sometimes

 thousands of employees. You can rapidly shift your facility’s way of working by running agile sprints and simultaneously designing and implementing solutions framed by holistic governance.

MODULE XII: STEP 8: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP EIGHT

MODULE XII: STEP 8: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

Intelligent applications are , intelligence-

enabled applications that interact with support the Industrial Internet

 of Things (IIoT(. Physical objects with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems.

MODULE XII: STEP 9: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP NINE

MODULE XII: STEP 9: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

Your "MES" partner should continuously bring new offerings to market to close the gap so they meet customers at the right place in their

 digital transformation. This involves rapidly building solutions working closely with the sales, technical, and marketing teams, and then taking those solutions to market.

MODULE XII: STEP 10: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( – LEARNING OUTCOMES

THE 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( STEP TEN

MODULE XII: STEP 10: 10-STEP PROCESS MANUFACTURING EXECUTION SYSTEM (MES( - LESSON REVIEW

A Transparency Market Research report projects that the global “MES” market will generate revenue of US$18.06 billion by the end of 2025. This growth is being driven by an increase in the use of

  industrial automation in process and discrete industries, the growing

need for regulatory compliance, and the low deployment cost of (MES( systems.

17. MODULE XIII: D.M.A.I.C., MESA AND ANSI/ISA-95

◉ Overview

  LEARNING OUTCOMES FOR MODULE VIII: THE DMAIC PROCESS

 MODULE XIII: D.M.A.I.C.

  MODULE VIII: THE DMAIC PROCESS - LESSON REVIEW

  LEARNING OUTCOMES: THE TOP 5 BENEFITS OF MES

  MODULE XIII: TOP FIVE BENEFITS OF “MES”

 LESSON REVIEW: TOP 5 BENEFITS OF MES

INTERACTIVE THEORY OF CONSTRAINTS FOR THE IMPLEMENTATION OF A SMART FACTORY

INTERACTIVE AGILE SPRINT PLANNING IN THE IMPLEMENTATION OF A SMART FACTORY

 What does D.A.M.I.C. stand for?

  What are the Top FIVE Benefits of “MES”?

  MODULE XIII: “MESA” DEFINED

What are four of the eleven core manufacturing execution system

 functions or "MESA?"

 What is ANSI/ISA-95?

  MODULE XIII: THE EVOLUTION OF “MES” STANDARDS

18. MODULE XIV: FINAL THOUGHTS, LESSON REVIEW & COURSE ASSESSMENT: HOW TO CREATE A SMART FACTORY INDUSTRY 4.0 - ADVANCED DIPLOMA TRAINING

◉ Overview

MODULE XIV: FINAL THOUGHTS: LESSON REVIEW: COURSE ASSESSMENT

  INTERACTIVE SMART FACTORY IMPLEMENTATION CHECKLIST

  FINAL COURSE ASSESSMENT 80% SCORE TO PASS

HOW TO CREATE A SMART FACTORY INDUSTRY 4.0 - SAMPLE DIPLOMA UPON COURSE COMPLETION

At the heart of a smart factory is the Internet of Things (IoT(. So what (is

  IIoT( defined?

Transforming a manufacturer that marries manufacturing techniques with the (IoT( to create a new manufacturing system.

  Interconnected to communicate, analyze, and use the information to

drive further intelligent action back in the physical world.

The company will face a surge of new traceability, compliance, and cost accounting requirements. More production in any facility is

  only possible if workers can be freed from expensive, non-value-

added (time spent searching for misplaced inventory and handwritten documentation.(

  Will your smart factory require a Manufacturing Execution System?

 What is Industry 4.0?

An analog signal uses discrete (discontinuous( values. By contrast,

 non-digital (or analog( systems use a continuous range of values to represent information.

  What are the Main Business Drivers?

  A customized “MES” Solution can provide?

MFG activity plummeted sharply as businesses grappled with the

  COVID-19 pandemic and the global recession in the spring of 2020.

MFGs had the strongest outlook in nearly two years, since the third quarter of 2018, and manufacturers are predicting the highest levels

 of production, sales, and job growth in Outlook Survey history.

"National Association of Manufacturers (NAM( survey."

Workforce shortages and supply chain instability are reducing

  operational emciency and margins.

Organizations that can manage through workforce shortages and a

 rapid pace of change today can come out ahead.

Smart factories, including greenfield and brownfield investments for

 many manufacturers, are viewed as one of the keys to driving competitiveness.

Cybersecurity with lower threats are leading the industry to new levels

  of preparedness.

 What does “ESG” mean?

 What industry revolution are we moving into?

The industrial revolution 1.0 began in the 18th century, from 1760 to

  1840.

 What are the differences between 1.0 and 2.0?

MFGs need to realize Industry 4.0 is not immediately possible in facilities famished with capital, antiquated or poor-performing

 operations, and paper-based systems. Dysfunctionality must be addressed before achieving these aspirational goals, or the 4.0 implementation will not work.

  What are the challenges of Industry 4.0?

 What are the benefits of industry 4.0?

  What is reinforcement learning?

  What is unsupervised learning?

  What is strong AI?

 What is general AI?

 What is weak AI?

  What is any production Downtime Costing You?

 What is the Root Cause of Failure?

  What are the Statistic Benefits of a Smart Factory?

  How Do You Start your Digital Transformation?

 How Will Your Operation Achieve a More Digital Future?

 What Approach Will Your Operation Take?

What are the four stages in a typical successful smart factory

  transformation?

  What are the Drivers and Enablers Behind These Changes?

Computing With the Industrial Internet of Things, (IIoT(, and Industry 4.0, data is generated at staggering speed and high

 volumes, making it impossible to handle manually. This creates a need for an infrastructure that can store and manage this data more emciently.

A production environment dealing with many variations is because production needs are extremely and can easily change in time according to customers’ demands, and a statically designed

  solution cannot cope with such requirements. Ensure data

maintenance changes applied to these parts must be easily transmitted.

The design and implementation of a highly customized -

- (MES( solution able to cope with the complex

 assembly processes of product widgets, including handling a variety of different subassemblies and the traceability of their product family trees along the assembly line.

Assess the state as a with a Core Value Assessment for an (uncertified valuation( of your company to achieve

  a baseline and see all the potential red flags as immediate projects to

begin optimizing.

Digital transformations are typically one-year, company-wide journeys that leadership must drive. A well-defined roadmap on how to get

 from here (modern factory( to there (smart factory(. Clear and realistic actions and timeframes to help your people share your smart factory vision and keep your vision on track.

Data architecture is a framework for how "IT" infrastructure supports your data strategy. Its goal is to show your company’s infrastructure.

  How data is acquired, transported, stored, queried, and secure, and

becomes the foundation of any data strategy.

In addition to having an effective data architecture in place, smart

 factories are characterized by digital technology, real-time data- driven systems, automation, and, sometimes, artificial intelligence.

The Theory of Constraints is a methodology for identifying the least important limiting factor (i.e. constraint( that stands in the way of

 achieving a goal and then systematically improving that constraint until it is no longer the limiting factor. The Theory of Constraints takes a scientific approach to all improvement.

Your architecture should enable you to identify and realize beneficial actions and outcomes to help your business create value,

  evolve, and grow. Could be improved customer insights or

operational changes that will drive emciency and business growth.

Innovative solutions require a centralized engine, cross- functional team engagement, and rapid upskilling of sometimes

 thousands of employees. You can rapidly shift your facility’s way of working by running agile sprints and simultaneously designing and implementing solutions framed by holistic governance.

Intelligent applications are , intelligence-

enabled applications that interact with support the Industrial Internet

 of Things (IIoT(. Physical objects with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems.

Your "MES" partner should continuously bring new offerings to market to close the gap so they meet customers at the right place in their

 digital transformation. This involves rapidly building solutions working closely with the sales, technical, and marketing teams, and then taking those solutions to market.

A Transparency Market Research report projects that the global “MES” market will generate revenue of US$18.06 billion by the end of 2025. This growth is being driven by an increase in the use of

  industrial automation in process and discrete industries, the growing

need for regulatory compliance, and the low deployment cost of (MES( systems.

What are four of the eleven core manufacturing execution system

 functions or "MESA?"

 What is ANSI/ISA-95?

  What are the Top FIVE Benefits of “MES”?

Section 1/18

HOW TO CREATE A SMART FACTORY-INDUSTRY 4.0

Learning objective: “How to Create a Smart Factory” will help prepare you to face any change management challenge through the ten stages of setting up your transformational digital journey.

HOW TO CREATE A SMART FACTORY-INDUSTRY 4.0: TRAINING OVERVIEW AND AGENDA

More information:

A Smart Factory implementation is a multiyear project on how to plan for the top-down transformation and how automation and digital change management can take a toll on employees. While technology is at the core, digital transformation is powered by people who implement new processes and navigate change management. First, understand Manufacturing Execution Systems (MES).

Publisher: Michael Shew, L.I.F.A., MBA, SME & Serial Entrepreneur – Small Business Advisor. INFO, LLC

This online diploma course provides a detailed overview of creating a smart factory. Your company will face a surge of new digital traceability, compliance, and cost accounting requirements in a highly variable manufacturing process, with the number of variants to be accounted for and managed to be excessive; the product could be manufactured in 500 different ways.

The upside of digital transformation is clear. But if done well, these vast projects lead to improved productivity, low morale, and spoiled resources. That's why organizing digital transformation projects with a people-first mindset Industry is critical. You will learn industries 1.0 to 4.0. What are the benefits, challenges, enablers, drivers, and ten steps to begin your industry 4.0 transformational journey? Get Ready! We are moving into Industry 4.0! Too late. We are here now!

SMALL BUSINESS ADVISOR TRAINING OVERVIEW AND AGENDA

Overview: Page 1-2. Agenda: Page 2.

Time: 2 - 4 Hours

How to Create a Smart Factory Industry 4.0 - Diploma Training

Abstract:

“How to Create a Smart Factory” will help prepare you to face any change management challenge through the ten stages of setting up your transformational digital journey. For example, you will need to replace many labor-intensive, paper-based, partially automated processes and systems to achieve this objective. In addition, more production in any facility is impossible unless workers can be freed from expensive, non-value-added activities (time spent searching for misplaced inventory, handwritten documentation, incorrect customer requirements, and outdated methods from the beginning of the operation).

Next, understanding Analog vs. Digital signals. Understanding why customers want shorter supply chains with faster production times. More innovative, digital-readied products. Why do M.F.G.s wish to monitor, repair, and/or replenish products (J.I.T.) before a customer/user needs them?

Furthermore, the entire value chain for manufactured goods is changing, requiring

M.F.G.s to re-imagine what and how they make products and what additional value- added services, capabilities, and information can be provided with their products. Personal consulting experiences included Michael Shew, L.I.F.A., M.B.A., a serial entrepreneur owning seven businesses and a tenured management consultant.

Overview:

A. Understand what a Smart Factory implementation is.

B. Understand industries 1.0, 2.0, 3.0, and 4.0.

C. Understand industry 4.0, benefits, challenges, drivers, and enablers.

D. Understand (IIOT) Industrial Internet of things and growth.

E. Understand how to create a smart factory.

F. Understand what Manufacturing Execution System (MES).

G. Understand the MFG outlook, and future change, despite the economic turbulence.

H. Understand D.A.M.I.C and Theory of Constraints T.O.C., Agile Sprint Planning, and SCRUM.

I. Understand Workforce Shortage, Supply Chain Instability, Smart Factory Initiatives, Cybersecurity, and ESG Investment.

J. Understand artificial intelligence and machine learning.

K. Understand what downtime is costing your plant.

L. Understand how to plan for a top-down transformation.

M. Understand the four stages of a typical successful smart factory transformation.

N. Understand Big Data Analytics, Cloud Computing, and Additive Manufacturing.

O. Understand the 10-step process that leads to Manufacturing Execution System (MES).

P. Understand the MESA-11 model and the ANSI/ISA-95 international standard..

Agenda:

Hour One:

Module I: What is a Smart Factory? Module II: How to Create a Smart Factory. Module III: What is Industry 4.0?

Customer Demands

Hour Two:

Module IV: Changing Customer Demands Trigger Digital Solutions

Module V: Manufacturers’ Outlook: Workforce Shortage, Supply Chain Instability, Smart Factory Initiatives, Cybersecurity, and ESG Investment.

Module VI: What is industry 1.0, 2.0, 3.0, and 4.0?

Module VII: Key differences between Artificial Intelligence (AI) and Machine learning (ML):

Hour Three:

Benefits, Drivers, Enablers, Challenges Module VIII: Review Benefits

Module IX: How Do You Start your Digital Transformation? Module X: What Exactly Are the Enablers?

Hour Four:

Customized “MES” System

Module XI: Customized “MES” Solution

Module XII: 10-Step Process Manufacturing Execution System (MES)(Theory of Constraints)(Agile Sprint Planning)

Module XIII: D.A.M.I.C.Process Module XIV: Course Assessment

Download Training Overview and Agenda - Click File and Download

https://docs.google.com/document/d/1wHqZ3HihNH7ayMYIDgPYWY- L8oxjp2aG/edit?usp=sharing&ouid=111779176745981079183&rtpof=true&sd=true

LEARNING OUTCOME: STUDENTS HANDOUTS

Having completed this course, you should be able to:

Understand what a Smart Factory implementation is. Understand industries 1.0, 2.0, 3.0, and 4.0.

Understand industry 4.0, benefits, challenges, drivers, and enablers. Understand (IIot) Industrial Internet of things and growth.

Understand how to create a smart factory.

Understand what Manufacturing Execution System (MES) is.

Understand the MFG outlook, and future change, despite the economic turbulence. Understand D.A.M.I.C and Theory of Constraints T.O.C., Agile Sprint Planning, and SCRUM.

Understand Workforce Shortage, Supply Chain Instability, Smart Factory Initiatives, Cybersecurity, and ESG Investment.

Understand artificial intelligence and machine learning. Understand what downtime is costing your plant.

Understand how to plan for a top-down transformation.

Understand the four stages of a typical successful smart factory transformation. Understand Big Data Analytics, Cloud Computing, and Additive Manufacturing. Understand the 10-step process that leads to Manufacturing Execution System (MES).

Understand the MESA-11 model and the ANSI/ISA-95 international standard.

To reduce the redundancy of "References" or "Bibliography." Each topic has the appropriate citations listed.

Handouts for students and Business Owners:

Note: If you need help to download any of these documents, please email mshew@smallbusinessadvisor.info, and the documents can be emailed to you. Please send the specific document description in the subject line of your email.

Students and business owners can download a training course overview and agenda for review to support their interactive learning during this course.

You will receive one diploma for this course and one employee training form for employees to sign as confirmation of completion. You must pass with an 80% assessment score.

Further, students and business owners downloads include:

1. Training Overview and Agenda.

2. Training employee signature Form.

3. Smart Factory Implementation Checklist.

4. Industry 4.0 in Detail.

5. Collaborative Robots (COBOTS) And Augmented Reality (AR) Technologies.

6. Industrial Internet of Things (IIOT).

7. Digital Vs. Analog.

8. Cybersecurity Safety Precautions.

9. Companies Invest in ESG (Environmental, Social, And Governance).

10. Machine Learning in Detail.

11. Artificial Intelligence in Detail.

12. Natural Language Processing (NLP).

13. Manufacturing Execution System (MES) for a Smart Factory.

14. DAMIC Framework for Implementing a Smart Factory.

15. Theory of Constraints for The Implementation of a Smart Factory.

16. Agile Methodology in Implementation for A Smart Factory.

17. Hyperscalers In the Implementation of A Smart Factory.

18. Agile Sprint Planning in The Implementation of S Smart Factory.

19. Chatbots for Industry 4.0.

20. Analyzing Operational Pillars in Industry 4.0. 

INTRODUCTION: EMPLOYEE SIGNATURE FORM

Note: Business Owner: This form should be on your letterhead. This form and the student diploma go in their HR file.

Training Acknowledgement Form How To Create A Smart Factory – Industry 4.0 Your Business Name here

Date here

I [Employee Name Here] have watched the PowerPoint entitled: How To Create A Smart Factory – Industry 4.0 Training.” Passed assessment with an 80% grade or higher.

Your Business Name Here / Business Official Signature/ Date

Signature of Employee Here

Printed Name of Employee Here

Date

How to Create A Smart Factory - Industry 4.0 - Advanced Diploma Training

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Policies. https://smallbusinessadvisor.info/privacy%2C-cookie%2C-eu-gdpr

MODULES: I - XIV:

Module I: What is a Smart Factory? Module II: How to Create a Smart Factory. Module III: What is Industry 4.0?

Customer Demands

Module IV: Changing Customer Demands Trigger Digital Solutions

Module V: Manufacturers’ Outlook: Workforce Shortage, Supply Chain Instability, Smart Factory Initiatives, Cybersecurity, and ESG Investment.

Module VI: What is Industry 1.0, 2.0, 3.0, and 4.0?

Module VII: Key differences between Artificial Intelligence (AI) and Machine learning (ML):

Benefits, Drivers, Enablers, Challenges

Module VIII: Review Benefits

Module IX: How Do You Start Your Digital Transformation? Module X: What Exactly Are the Enablers?

Customized “MES” System

Module XI: Customized “MES” Solution

Module XII: 10-Step Process Manufacturing Execution System (MES)(Theory of Constraints)(Agile Sprint Planning)

Module XIII: D.A.M.I.C. Process, MESA and ANSI/ISA-95 Module XIV: Course Assessment

Michael Shew, L.I.F.A, MBA, is an Accredited CPD Trainer

Is CPD Recognized in the USA?

The CPD accreditation process is recognized internationally by authorities in the U

conferences.

MODULE I: WHAT IS A SMART FACTORY?

Learning objective: Transforming a manufacturer into a smart factory that marries advanced manufacturing techniques with the (IoT) to create manufacturing systems.

LEARNING OUTCOME FOR MODULE I: SO, WHAT IS A SMART FACTORY?

Learning Outcome for Module I: So, what is a Smart Factory? By the end of Module I, learners will be able to:

1. Define a Smart Factory and explain its key components, including advanced manufacturing techniques and the Internet of Things (IoT).

2. Understand the concept of the Internet of Things (IoT) and its application in creating interconnected systems for communication, analysis, and intelligent action in the physical world.

3. Differentiate between IoT and Industrial IoT (IIoT) and identify the integration of various sensors, RFID tags, software, and electronics with industrial machines and systems.

4. Recognize the significance of real-time data collection, condition monitoring, and performance tracking in the Industrial IoT (IIoT) context.

5. Identify and explain the use cases and applications of IIoT, with a focus on asset management and tracking.

6. Illustrate how IoT technology can prevent inventory overstocking or understocking by utilizing shelf-fitted sensors and weighing devices to broadcast inventory information to a warehouse management system.

7. Engage in a quiz to assess understanding of the concepts covered in Module I.

learners will gain a comprehensive understanding of Smart Factories, the Internet of Things, and the role of IIoT in transforming manufacturing systems, allowing them to comprehend the importance and potential applications of these technologies in industrial contexts.

MODULE I: WHAT IS A SMART FACTORY?

It transforms a manufacturer into a smart factory that marries advanced manufacturing techniques with the (IoT) to create manufacturing systems.

Interconnected to communicate, analyze, and use information to drive further intelligent action back in the physical world.

LESSON REVIEW: MODULE I - SO, WHAT IS A SMART FACTORY?

Lesson Review: Module I - So, what is a Smart Factory?

Module I introduced the concept of a Smart Factory and its connection to the Internet of Things (IoT) and Industrial IoT (IIoT). The module emphasized the transformation of traditional manufacturing by combining advanced manufacturing techniques with IoT technologies to create a new manufacturing system. The key takeaway from this module was understanding the interconnected nature of a smart factory, enabling communication, analysis, and the use of information to drive intelligent actions in the physical world.

The module started by defining the Internet of Things (IoT) as a network of digitally interconnected physical devices that facilitate communication and data exchange through the Internet. Examples of smart devices were provided, ranging from smartphones and household appliances to cars and buildings. The focus then shifted to the Industrial IoT (IIoT), which is a subset of IoT specifically applied to industrial settings. Learners were introduced to various components integrated with industrial machines and systems, such as sensors, RFID tags, software, and electronics, for real- time data collection on condition monitoring and performance tracking.

The significance of IIoT in asset management and tracking was highlighted as one of the major applications of the technology in the present day. Learners gained an understanding of how IIoT can prevent inventory overstocking or understocking by utilizing shelf-fitted sensors and weighing devices to broadcast inventory information to a warehouse management system.

The module concluded with a quiz to assess learners' comprehension of the concepts covered. This provided an opportunity for learners to reinforce their understanding and ensure they grasped the main points discussed in the module.