Advanced Manufacturing & Industry 4.0 Micro Credential

Program

Fabian AlefeldMaryna Ienina

Dillan Drake

April 29th 2021

1This presentation may contain confidential and/or privileged information.Any unauthorized copying, disclosure or distribution of the material in this document is strictly forbidden.

CONFIDENTIAL

Your Experts

2

Maryna Ienina

Digital Manufacturing Consultant

Why 3d printing:AM allows to achieve an optimized utilization of existing resources through meeting manufacturing needs in efficient ways

Dillan Drake

AM Consultant

Why 3d printing:Additive Manufacturing opens new possibilities in multiple different industries and I get to help uncover those new freedoms.

Fabian Alefeld

Sr. Manager Consulting

Why 3d printing:3D Printing is creating tremendous opportunities. From Space exploration, to implants to customized shoes. This is just the beginning.

Dillan

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

AM technology introduction

Deep Dive into DMLS and SLS

3pm: - Break 5 min -

The industrialization of AM in Industry 4.0 environments

Case studies

4pm:- Break 10 min -

A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

CONFIDENTIAL

EOS – Technology and Market Leader for 3D Printing Solutions

▪ EOS is the world's leading technology supplier in the field of industrial 3D printing of metals and polymers

▪ Family-owned, founded in 1989

▪ Headquartered in Krailling near Munich, Germany

▪ Solution portfolio: Additive Manufacturing (AM) systems, materials (plastics and metals), software, services and consulting

▪ Complete end-to-end solutions: from part design and data generation to part building and post-processing

▪ EOS helps companies leverage competitive advantages in a variety of industries, such as medical, aerospace, tooling, industry, lifestyle products and automotive

EOS is committed to: Innovation – Quality – Sustainability

Marie Langer | CEO

Glynn Fletcher| Regions & USA Ruha Reyhani| CTrODavid Leigh| CTO Nikolai Zaepernick|Life Cycle Solutions

CONFIDENTIAL

EOS is the World’s Leading Technology Supplier in the Field of Industrial 3D Printing of Metals and Polymers

5

>30years of

experience

>3,500systems

Customers across

68countries

>1,350Employees worldwide

CONFIDENTIAL

Additive Minds is the World’s Largest Applied Engineering and Consulting Unit for AM

6

>100AM Experts

>300successfulprojects

Across

25countries

7Global centersof technology

CONFIDENTIAL

We have build up a holistic ecosystem to accelerate the adoption of Additive Manufacturing

EOS all-round Services

EOS Materials

EOS Systems

Design & Engineering Production Post ProcessingYourIdea

YourProduct

Find your Application Develop your Application Ramp Up your Application Certify & Scale your Application

EOS AMM EOS AMCM EOS AMP EOS KVS

EOS Software & Processes

EOS Solutions

AdditiveMinds

EOSEcosystem

Start Upspowered by

Software & Processes Systems Materials Services

Sustainability at EOS

“We want our technology to do more than driving economic growth. We want it to provide positive environmental and social benefits.“

CEO at EOS, Marie Langer

CONFIDENTIAL

Technology

People

Ethical behavior towards people and

society

Planet

Respecting the natural limits of

our planet

Performance

Responsible business practices

Innovation

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

Deep Dive into DMLS and SLS

3pm: - Break 5 min -

The industrialization of AM in Industry 4.0 environments

Case studies

4pm:- Break 10 min -

A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

CONFIDENTIAL

Advanced Manufacturing & Industry 4.0 Micro Credential

Program

April 2021

This presentation may contain confidential and/or privileged information.Any unauthorized copying, disclosure or distribution of the material in this document is strictly forbidden.

McMaster

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

Deep Dive into DMLS and SLS

3pm: - Break 5 min -

The industrialization of AM in Industry 4.0 environments

Case studies

4pm:- Break 10 min -

A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

CONFIDENTIAL

AM Categories

Source: 3D Hubs

13

CONFIDENTIAL

AM Categories

14

CONFIDENTIAL

Additive Manufacturing (AM) – the Principle

Do we have new slides that show how Powder Bed Fusion works?

15

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

→ Deep Dive into DMLS and SLS

3pm: - Break 5 min -

The industrialization of AM in Industry 4.0 environments

Case studies

4pm:- Break 10 min -

A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

CONFIDENTIAL

AM Categories

* Compared to traditional (subtractive) manufacturing

Investment

Part quality*

MaterialExtrusion

FDM**

Vat Polymerization

SLA

Technology

Customer

Directed Energy Deposition

Laser Metal

MaterialExtrusion

FDM

Vat Polymerization

SLA, DLP

Powder Bed Fusion

SLS, DMLS, EBM

-

KonsumentenConsumer Industry

Material & Binder Jetting

Sheet Lamination LOM

UAM

** Subtechnology

Polymer PowderMetal Powder

MetalWax

MetalPlastic

PlasticComposite

Liquid photopolymers

PaperPolymerblendsLiquid ResinPolymer FilamentMaterial

Technology Landscape

17

ProductionReady

CONFIDENTIAL

Metal vs Polymer powder bed processes

Polymer Metal

Warm process Cold process

CO2 Laser Fiber Laser

Low laserpower High laserpower

Powder partly reusable All powder reusable

No support structure needed during build process

Support structure needed during build process

… …

18

CONFIDENTIAL Footer 19

Metal Technology?

CONFIDENTIAL

The Mechanical System

Build Chamber

Mechanics

Control

Filter System

Electronics

Optics System

21

CONFIDENTIAL

The Mechanical System

Collector System

Building Platform Carrier with building platform

Dispenser

Recoater

22

CONFIDENTIAL

1

2

3

4

Lower building platform, dispenser platform

5

Layered building process

Move recoater

Provide powder

CONFIDENTIAL

1

Move recoater

Provide powder

Recoat

Lower building platform, dispenser platform

5

Layered building process

Expose

Lower building platform, dispenser platform

Move recoater

Provide powder

Polymer Technology?

CONFIDENTIAL

Laser sintering process

1

2

3

4

Recoat

Warm up

26

CONFIDENTIAL

Recoat

Laser sintering process

1

2

3

4

Recoat

Warm up

Expose

27

CONFIDENTIAL

Laser sintering process

1

2

3

4

Recoat

Warm up

Expose

Lower building platform

28

CONFIDENTIAL

Build process

Layerwise manufacturing of part and support

Part and support builtsimultaneously in the same process

DesignPre-

processingBuild

Post-processing

29

CONFIDENTIAL

Build process

Ignoring of design guidelines can lead to a crash

DesignPre-

processingBuild

Post-processing

30

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

→ Deep Dive into DMLS and SLS

→ 3pm: - Break 5 min –

→ The industrialization of AM in Industry 4.0 environments

Case studies

4pm:- Break 10 min -

A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

The Industrialization of AM in Industry 4.0 Environment

McMaster Program

April 28, 2021

32

Maryna Ienina, PMPAM Consultant - Digitalization

Outline

→What is Digital Transformation?

→ AM Smart Factory

→ Digital Twin of AM Production

Outline

→What is Digital Transformation?

→ Connectivity in AM

→ Digital Twin of Production

35

Industrial Revolutions Map

Industrial Revolution – optimization of manufacturing output through application of latest advancements in sceince and technology

35

TODAY196918701784

Industry 4.0

Industry 3.0

Industry 2.0

Industry 1.0

▪ Steam power ▪ Mass production, assembly line

▪ Electrical energy

▪ Automation▪ Robotics

▪ Digital Thread▪ IoT, networks▪ Big Data, AI

36

36

“You can have data without

information, but you cannot

have information without

data.”

Daniel Keys Moran

Outline

→What is Digital Transformation?

→ AM Smart Factory

→ Digital Twin of Production

38

Manufacturing Process Stages

38

Disconnected process chain Multiple file conversions Uncontrolled workflowConventional thinking

AM Process

Post-Processing

Quality / Inspection

End-use part

Design Software

Simulation Software

Build Preparation Software

39

01010011010001010100110100010101001101000101010011010001

0101 0101

AM Smart Factory

IIoT

Work Order Management

Hi Vol Industry 3.0

Additively produced: low to medium volume

Manufacture Post ProcessCAMOriginate Design Develop

Materials

Geometry

Optimized for Production

Industry 4.0

2 3 4 5

001101000101010011010001

Big Data

Simulation

1

40

Job and ProcessManagementEOSPRINT

System and Periphery ControlEOSYSTEM

Monitoring andQuality AssuranceEOSTATE

Enabling Integrated Manufacturing

40

Industrial GradeConnectivityEOSCONNECT

41

Sync

In real time

Data Aggregationin

EOS Data Lake

Data Model Twin

Federation subscriber

Data Model

Publisher

Data Sources

EOSCONNECT Core (Live and Historical)QMS (quality data)ERP

Thingworx IIoT platform integration with EOS

41

ERP

QMS

IndustrialGateway

OPC-UA Live Data

PTC Always ON

eos-prod.cloudthingworx.com

On premiseData Lake

EOSC

ON

NEC

T C

ore

REST API Historical Data

Secure Web Socket 443

Model PTC

ThingWorx REST API Call

On premise

42

Machine Park Screenshot

Footer

42

43

EOS - PTC Thingworx Dashboard

Footer 43

44

Descriptive Predictive

- Trend monitoring

- Threshold Alarm

- Predicting downtime

- Alerting on inert gas leaks

- Abnormalities in sensor measurements

Machine Utilization Filter Lifetime predictions

Analytics in manufacturing

44

Outline

→What is Digital Transformation?

→ AM Smart Factory

→ Digital Twin of Production

46

A highly efficient AM production chain

Source: EOS

Flexible Production Volume

Flexible ProductionLocation

Digital AM Manufacturing cells

Flexible ProductionTime

„one“ to „many“

small and economic production runs

„local to global“ to „globally local“

„just in time“ to „on demand“

47Magics Support Orientation

Part Orientation

% Support # Parts [] Time [h]AlSpeed TiSpeed

Cost/Part [€]AlSpeed TiSpeed

129,7% 135 24,5 18,3 9,41 15,96

129,7% 77 15,5 11 10,34 14,14

13,7% 42 6,5 3 7,41 7,03

• Cost and Build Time Dependence on

Part Orientation

2

3

1

2

3

1

48

Internal Grid Nozzle Production for EOS M 290

48

Material: AlSi10

MGParameter: 30µm

49

Digital Process Simulation: 26h Build job

50IPM M Unpack Station L

IPM M Setup Station L

Build plate exchange

EOS M 400 Series

Park & Service Station

IPM M Powder Station L

2

Production Setup – Automated Version

Po

wd

er S

up

ply

Build Job Value

M290 Nozzle 8 per building plate

Material AlSi10MGProcess Parameter 30µmBuild Time 26:15h

General Parameter Value

No. of Operators 1[No, of Operating Shifts 1 shift

Powder Handling Parameter Value

No. of jobs with full 80l powder bin 5 EXFRefill time from 40l-80l M4 hopper 5 minTransport time from Powder Station to M 400 series (40l)

40 min

Time to load IPM M Powder Station L manually with powder

60 min

Sieving time for 80l MS1 60 min

Machine Parameter Value

Cleaning Interval Each 10 buildsCleaning Time 1:20hJob Setup time 30 minFlooding M 400 Series 20 minNo. of M 400 Series 3 MachinesMaintenance (per month) 10h

Transport Parameter Value

EXF transport IGC/modules 5 minIGC Transport DOS/DOS 10 minDocking of IGC to modules 5 minFlooding IGC 20 min

Job Handling Parameter Value

Unpacking Automated 30 minBuild plate Exchange 15 min

Initial Start Setup:• M400 equipped with full

Exchange Frame• Powder bin 40/80l full• Powder supply in

parallel to unpacking/building possible

• Lifting Trolley also possible

51

EOS Production Scenarios - Overview

Inline Manual Semi-/Automated

52

Build Job Calculation (26 hours)

*Best case simulation and for demonstration only.

Machine Cost: 325€/partPay Back Period 2.65 Years

Inline*

Manual*

Machine Cost: 270€/part-17%Pay Back Period 2.39 Years

▪ High utilization

Semi-/Automated*

Machine Cost: 200€/part -38%Pay Back Period 1.89 Years

▪ High utilization▪ Fully automated

Description Result

Utilization 3x M400-4 79% (6900h/machine)

Jobs per Year 800

Investment Costs + 22% to 1)

No. of Shifts 1 (Mon-Fri)

Workers 1

Description Result

Utilization 3x M400-4 55% (4800h/machine)

Jobs per Year 550

Investment Costs + 7% to 1)

No. of Shifts 1 (Mon-Fri)

Workers 1

Description Result

Utilization 3x M400-4 46% (4000h/machine)

Jobs per Year 465

Investment Costs 100% - Base Investment

No. of Shifts 1 (Mon-Fri)

Workers 1

54

0

10

20

30

40

50

60

70

80

10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

Avg

Mac

hin

e U

tiliz

atio

n (

%)

Build Time (Hours)

Mon to Fri

MontoSat

2 Shift

Machine Utilization vs. Build Time EOS M400-4 Inline Cell

54

+10%

Automated +30%

+20%

55

Applications and Consulting

Office

Po

wd

er

Han

dlin

g

Shar

ed M

od

ule

s fo

r R

&D

an

d A

M

Fact

ory

fo

r D

igit

al M

anu

fact

uri

ng

Polymer Production

Shared Modules forM300

55

Production data gathering in Maisach

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

→ Deep Dive into DMLS and SLS

→ 3pm: - Break 5 min –

→ The industrialization of AM in Industry 4.0 environments

→ Case studies

4pm:- Break 10 min -

A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

CONFIDENTIAL

Automotive

Source: Additive Minds, EvoBus

CONFIDENTIAL

Case studies with Additive Manufacturing in Automotive

Driving change in the automotive industry 58

Disruption with AM

technology

Metal & engine Plastic & interior

After salesSpare parts

CONFIDENTIAL

GM Seat Belt Bracket

Efficient

150 design reiterationsReduced development time

Reduced weight

40% less weightLess material, less energy

Conventionally produced part AM optimized & produced part Benefits

Safe

Fulfilling certification20% stronger

Optimized

Build optimal structureOptimized functional and efficient parts

Source: EOS, GM 59

CONFIDENTIAL

Shock Absorber

Pedestrian protection

Opposerprotection

Self protection

Survival space

Kelvin

Gyroid

Cuboid

Oktett

Deformation [mm]

Co

mp

ress

ive

forc

e[k

N]

60

Case Study: design changes to create new material characteristics

CONFIDENTIAL

EvoBus faces several challenges in their Spare Parts Business

Huge Product Portfolio

Over 320,000 different spare parts

Total Cost of Ownership

Customer expect short lead times

Long product lifetime

High cost for storage & logistics and a huge number of suppliers

Goal of Evobus

Use Additive Manufacturing to develop a sustainable business model in the spare parts management

61

CONFIDENTIAL

Case Study: Additive Minds supports EvoBusto implement a business model for AM spare parts

▪ Project Scope: Ongoing Consulting project, including workshops and various off-site working streams

▪ Current Part Selection Situation:

▪ 2.600 potential part numbers identified

▪ 300 Polymer parts and 100 Metal parts shortlisted

▪ Multitude of build jobs printed at EOS

▪ Current topics of the project:

▪ Qualification of flame retardant material

▪ Process and service providers for parts digitization

▪ Design project for coloring and texturing of parts

Find yourapplication

CONFIDENTIAL

Daimler Already Uses a Parallel AM Supply Chain to Print More than 200 Parts On-Demand

“Same high-quality requirements in terms of reliability and functionality –but more economic.”

Daimler

63

CONFIDENTIAL

Injector head of Ariane 6 upper stage propulsion module VINCI realized as an all-in-one design (AiO)

Injector Head Ariane 6 – Project Overview

The additively manufactured baseplate of the injector head of a rocket engine with 122 injection elements is made from EOS NickelAlloy IN718.

Injector head of Ariane 6 upper stage propulsion module VINCI as an all-in-one design (AiO).

Results

• Simplified: One component instead of 248

• Cost-efficient: 50 % lower costs

• Fast: Significant reductionin production time (Lead time reduction of 80% )

• Higher quality and better performance

• Insourcing of production

Solution

Additive manufacturing with EOS M 400-4 (IN 718) and functional integration.

Challenge

Production of an injector head for rocket engines with as few components as possible and lower unit costs.

64

CONFIDENTIAL

One component instead of 248

Example complex component

Baseplate of an injector head

Challenges

▪ Production of an injector head for rocket engines with as few components as possible and lower unit costs

Solution

▪ Additive manufacturing with EOS M 400-4 and functional integration

Advantages

▪ Simplified: One component instead of 248

▪ Cost-efficient: 50% lower costs

▪ Fast: Significant reduction in production time

65

CONFIDENTIAL

Ariane 6: Injector head –Mission critical class 1 component

Results

Source: Ariane Group

CONFIDENTIAL

Aerospace: Hydraulic valve A380

Source: Airbus, Liebherr Aerospace67

CONFIDENTIAL

First metal 3D printed primary flight control hydrauliccomponent flies on an Airbus A380

Hydraulic valve block

68

Results

▪ Light: 35% less weight

▪ Simplification: 10 parts eliminated

▪ Safe: Fulfilling all certification requirements for flight

▪ Efficient: Identical functionality than conventional part

Solution

Manufacturing of a light-weight 3D printed part with less components built on an EOS M290 and efficient process chain.

Challenge

Substitute a conventional primary flight control hydraulic component with an additively manufactured part – fulfilling all certification requirements

for flight.

The conventional manufactured valve block (left) and the optimized metal 3D printed valve block (right).

Alexander Altmann, Lead Engineer Additive Manufacturing/TRPI, Research & Technology at Liebherr.

In 5 years from now, we believe that metal 3D printed parts suchas the valve block are manufactured in series at Liebherr-Aerospace and delivered to our customers.

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

→ Deep Dive into DMLS and SLS

→ 3pm: - Break 5 min –

→ The industrialization of AM in Industry 4.0 environments

→ Case studies

→ 4pm:- Break 10 min –

→ A strategic approach to AM implementation

Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

This presentation may contain confidential and/or privileged information.Any unauthorized copying, disclosure or distribution of the material in this document is strictly forbidden.

Additive Manufacturing has amazing benefits

Efficient

150 design reiterationsReduced development time

Reduced weight

40% less weightLess material, less energy

Conventionally produced part AM optimized & produced part Benefits

Safe

Fulfilling certification20% stronger

Optimized

Build optimal structureOptimized functional and efficient parts

Source: EOS, GM 71

Additive Manufacturing Allows Us to Rethink

▪ Tool-less production technology allows “free” shift to other products

▪ Powder as stock material is highly versatile

▪ Production of different applications in one production run

Asset Flexibility

▪ Production of complex geometries unleashes unseen opportunities

▪ Rapid innovation lead times

▪ Reduction of assembly

Design “Freedom”

▪ New talents are starting to learn AM from the ground up

▪ AM mind-set as a given not as a taught skill

▪ Disruption as part of life

Next Generation Talents

72

However, Many Struggle with AM Implementation

FusszL.E.J. Thomas Seale, “The barriers to the progression of additive manufacture: Perspectives from UK industry,” International Journal of Production Economics, 2018eile

73

Software Developers

Simulation based

KnowledgeExperience

based Knowledge

Quality Statistics

Design Engineer

Process Simulation

Standards

FEA Design

CAD

Education

Machine Manufacturer

Operating System

Powder BedFusion

In-ProcessMonitoring

Part

Destructive Testing

SystemOperator

Informs

Informs Informs

Informs

InformsInforms

Informs

Informs

InformsConstrains

Non-destructiveInspection

Programs Programs

Monitor

Informs

Makes

Damages

Informs

Informs

Informs

Informs

Informs Constrains

Constrains

Informs

Informs

Informs

Envisages

Develop

Informs

ProgramsPrograms

Informs

Informs

Informs

Guide

Informs

Inspects

Component ComponentUseful/Insufficient

Component ComponentUseful

Component ComponentHarmful

While Others Succeed

74

Aerospace Medical Industry Tooling Automotive

Time (5 years) is Money ($3.7 tn.)–

the Fast Mover Advantage

75

“Manufacturing’s leaders in applying Fourth Industrial Revolution (4IR) digital technologies are building on their head start – generating even more value across the entire enterprise.”McKinsey

From Challenge to Challenger76

Organizational Readiness

77

Team

Knowledge

Set-up

The Additive Manufacturing Transformation Team

▪ Team members from all functions within value chain

▪ Executive Sponsors

▪ Implementation team

▪ Management

▪ Supply chain and procurement

▪ Engineering: Design, Material, Quality

▪ Production

2. Implementation team

1. Transformation team

78

Team of teams

Structured teams Waterfall innovation

Agile innovation

AM Team Setup is Crucial to Success – agility wins

79

1Requirement

s

2Design

3Develop-

ment6Review

5Deployment

4Testing

Define

Design

Test

Develop

Implement

Knowledge is a Key Success Distinguisher

80

Expectations Education

Tim

e |

Exp

ert

ise

Success

▪ Process & technology understanding

▪ Function specific expert knowledge

▪ Continuous improvements▪ Knowledge transfer

▪ Limitations▪ Opportunities▪ Implementation time▪ Urgency

▪ Different way of thinking▪ Process chain complexity▪ First time challenges

Transformation team

Implementation team

Set Teach

The Challenge

81

What are Your Challenges?

82

Value Chain Analysis for Manufacturing Firms

Sup

po

rt A

ctiv

itie

s

Firm Infrastructure

General management, accounting, finance, strategic planning

Human Resource Management

Recruiting, training, development

Technology Development

R&D, product and process improvement

Procurement

Purchasing of raw materials, machines supplies

Inbound Logistics Operations Outbound Logistics Marketing & Sales Service

▪ Raw materials handling and warehousing

▪ Machining▪ Assembling▪ Testing products

▪ Warehousing and distribution of finished products

▪ Advertising▪ Promoting▪ Pricing channel

relations

▪ Installation▪ Repair parts

Primary Activities

Mar

gin

How can Additive Manufacturing Solve Your Challenges?

83

Value Chain Analysis for Manufacturing Firms

Sup

po

rt A

ctiv

itie

s

Firm Infrastructure

Market agility, self-disruption, cash-flow optimization, competitive advantage, new market entries

Human Resource Management

Talent attractiveness, people development

Technology Development

Part performance increase, new product innovations, lead time reduction

Procurement

Digital inventory: Elimination of LTB, MOQ, supplier substitution

Inbound Logistics Operations Outbound Logistics Marketing & Sales Service

▪ Reduction of working capital

▪ Tools & fixtures▪ Part integration

▪ Reduction of working capital

▪ On demand▪ Complexity

reduction

▪ Brand value▪ Customized

solutions

▪ Lead time reduction

▪ Availability

Primary Activities

Mar

gin

Production Cost vs. Net Value Add

84

AM production

Additional AM cost

Manufacturing & Life-Cycle▪ Product Development▪ Manufacturing Process▪ Logistics, installation and recycling

€

Value generation by additional AM benefit

Net value addTraditional

manufacturing

Product▪ Part Performance▪ Product Lifetime

Intermediaries▪ Lead Time▪ Company Image

Quick Wins Through Agile Development Methodologies

85

Requirement Prioritization

Process Chain Definition

Concept Generation

Decision for concept, orientation and process chain

Final Geometry GenerationFinal process chain definition

Feedback and decision for final geometry and process chain

Final Part Post Processing

Bu

sin

ess

Cas

e

Fre

ed

om

of

De

sign

Concept Phase

Detailed Design Phase

Process Chain

Concept & orientation

Evaluation of results

Build Job Simulation

Fine-tune design & parameters

Evaluation of results

Build Job Simulation

Setup for Scalability

86

From Implementation Team to Center of Excellence

87

▪ Continuous value chain assessment

▪ Technology assessment and adoption

In-House Consulting & Academy

▪ Design

▪ Process development

▪ Material development

Application Development

▪ Production and part qualification

▪ Supplier qualification and management

Operations

Continued Knowledge-Building

88

Specific System Operation

Maintenance Level 1

Advanced Orientation & Support

3. Post Processing

Material Science

Ref. Point Calibration

Critical-to-Quality

Advanced User Training

Design for AM

Application SprintAM Business Case

AM Part Screening & Selection

OQ & PQ

Monitoring

Topology Optimization

Parameter Editor

AM Business Manager Quality

Engineer*

AM Designer

Application Specialist

System Operator

4.

1.

1.

2.

5.

6.

7. 8.

10.

11. 12.

9.

13.

15.

14.

Examples

Case Study: Siemens

90

Find yourapplication

Siemens –Challenges Lead to Agile and Rapid Innovation

▪ Repair time reduction by 90%

▪ Cost reduction

▪ Set-up for upcoming innovations

From MRO …

▪ Rapid Innovation cycles

▪ Performance increases

▪ Lead time reduction

To product innovation

91

“If you can print a turbine blade, you can pretty much print anything.”

92

Don’t Stop EvolvingBecome a Challenger

What is disruptive Innovation?

94Harvard business review

“Disruption” describes a process whereby a smaller company with fewer resources is able to successfully challenge established incumbent businesses

95

Deep Dive: Launcher

Footer 96

A Distributed and Agile Manufacturing Network

97

Mass customization

Higher utilization

Spare parts on-demand

Lower warehousing &transportation cost

Auto rebalanceload

▪ Product innovation and substitution

▪ Speed to market

▪ Supply chain simplification

▪ Significant waste reduction

▪ Energy efficient

This is just the beginning…

Footer 98

Summary: From Challenge to Challenger

99

Organizational readiness

Value Chain Analysis for Manufacturing Firms

Continued knowledge building

Footer 100

CONFIDENTIAL

→

→

Agenda: 2pm – 5pm (ET)→ Introductions EOS

→ AM technology introduction

→ Deep Dive into DMLS and SLS

→ 3pm: - Break 5 min –

→ The industrialization of AM in Industry 4.0 environments

→ Case studies

→ 4pm:- Break 10 min –

→ A strategic approach to AM implementation

→ Introduction to Workshop and Next Steps

→

→

EOS

April 29th 2021

CONFIDENTIAL

What are Your Challenges?

102

Let your challenges spur creativity!

Pri

mar

y A

ctiv

itie

s

Application Specific

Customization, Increased Performance, High standard of quality

Part Production

Customer Location, Time to market

Distributed Manufacturing

R&D, process improvement

Supply Chain

Disruptive process, etc..

Inbound Logistics Operations Logistics Vending Service

▪ Raw materials handling

▪ Machining▪ Assembling▪ Testing products

▪ Distribution of finished product

▪ Promoting▪ Channel

relations

▪ Installation▪ Repair parts

Support Activities

Mar

gin

CONFIDENTIAL

A few things to think about…

Everyone should think outside of the box and question your main goals for specific applications, processes and bring that to the table next week!

Homework

Challenges should be something you have yet to find suitable solutions for

103

Workshop Schedule:

-Detail and Understand Challenges

-Grade & Scale

-Create Next Steps

CONFIDENTIAL

Grading & Next Steps

• Conversation

• Feedback

• Next Steps (Pursue low risk opportunities)

What to expect

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Workshop Schedule:

-Detail and Understand Challenges

-Grade & Scale

-Create Next Steps

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Thank you!

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