co-evolution of digitalisation and product development ... · – hr training, knowledge evolution,...

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1 STC Dn Keynote (2021) Progress Report Co-evolution of digitalisation and Product Development Cycles : discussion and future prospects CIRP office: 9 rue Mayran, 75009 PARIS France, E mail: [email protected], http://www.cirp.net International Academy for Production Engineering Winter Meeting Febuary 21, 2020 Authors Lionel ROUCOULES (2) ([email protected]) Nabil ANWER (2) ([email protected]) Eric LUTTERS (1) ([email protected]) Bob WILHELM (1) ([email protected])

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Page 1: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

1

STC Dn Keynote (2021) Progress Report

Co-evolution of digitalisation and

Product Development Cycles :

discussion and future prospects

CIRP office: 9 rue Mayran, 75009 PARIS – France, E mail: [email protected], http://www.cirp.net

International Academy for Production Engineering

Winter Meeting – Febuary 21, 2020

Authors

• Lionel ROUCOULES (2) ([email protected])

• Nabil ANWER (2) ([email protected])

• Eric LUTTERS (1) ([email protected])

• Bob WILHELM (1) ([email protected])

Page 2: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

Motivation (why): (Co)evolution of

IT and design approaches Digital Product Design

Digital

Mockup

3D CAD

2D CAD

NO CAD(Drafter)

Digital

Manufacturing

1990s1980s 2000s

Knowledge-based

Engineering

1970s~ 1960s

Product Design Knowledge

• Many advances in design “methods”

• Many Computer Aided advances

since the middle of the 19th.

• Discussion : hopes or reality?

Page 3: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

3

Topics: what is the KN about?

What is new? • Synthesis of the evolution of the

relationship between design approaches

and Digitalisation (CAD, CAx, PLM…):

scientific research & commercial

developments

• Discussion : are evolutions of Design /

Human & Organisations / digital solutions in

a dual push/pull approach? What are the

opportunities and scientific roadmaps ?

• Transversal topics : academic & Industrial

training evolutions, profits assessment (ROI,

bench) of the evolution

One image to synthesis the Kn :

DNA inspired situation IT n.0 / PDC n.0 / Organisation n.0

Page 4: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

4

Scope: design and digital

features mutual development • Key words (IT facet)

– CAD, CAx, DMU

– PLM-ERP, interop, MBSE

– AI (CBR, data analytics, KBS

(KBE))

– VR/AR

– CPS / digital twin

– User Experience

• Key words (design facet)

– Axiomatic Design, Systematic

Design, CE, Knowledge

synthesis, Integrated design

– System engineering,

Requirements management,

– Decision making, Product

modelling

[KN 2014]

• State of the arts

• Discussion (positon of the authors and the STC Dn)

• Perspectives: what the community is expecting

Page 5: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

5

Feedback from GA 2019

• The scope and the backbone of the paper are clear and better understood

• Commercial aspects and editors roadmap are not in the scope since they are very difficult to obtain

• The backbone should be augmented with “principles” or “properties” on each pillars (human&organization, PDC, Digitalization) that would formalize the framework in which the past, the present and the future solutions and opportunities could be characterized. – Properties have been identified and are in discussion

– The DNA metaphor has been enriched with a radar graphs of those properties to show how they are evolving over the time.

Page 6: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

6

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Tra

nsve

rsa

l

top

ics

Page 7: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

7

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Prospective

Current opportunities

Assistive tasks

Support Complexity

Tra

nsve

rsa

l

top

ics

Page 8: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

8

Story line of the paper

In discussion to be

coherent in the whole paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

System complexity

LC coverage

Auth. Apps

Manag. Apps

Fidelity

Assistive / K based / Auto.

TRL

Indiv. / Collab.

Synch. / Asynch.

Face to Face / Extend.

Tech. Acculturation Level

Conc. Acculturation Level

PDC drivability

PDC

Digitalisation

Organisation

Co-evolution

Tra

nsve

rsa

l

top

ics

Page 9: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

9

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Current opportunities

Assistive tasks

Support Complexity

Tra

nsve

rsa

l

top

ics

Page 10: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

10

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Current opportunities

Assistive tasks

Support Complexity

Tra

nsve

rsa

l

top

ics

Page 11: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

11

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Current opportunities

Assistive tasks

Support Complexity

Tra

nsve

rsa

l

top

ics

Page 12: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

12

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective: Three scenarios

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Current opportunities

Assistive tasks

Support Complexity

Tra

nsve

rsa

l

top

ics

Prospective

Current opportunities

Assistive tasks

Support Complexity

Page 13: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

13

Story line of the paper

• Framework

– Three pillars : PDC concepts, Organisation &

Digitalisation have evolved

– Three practices (time line)

• Characteristics (intrinsic & co-evolution)

definition and assessment over the practices

– Charac. assement of Design & Digit. Facets in

each practices (over the time)

– Synthesis to scientific community roadmap

• Prospective

• External enablers : training (concepts & Tech.)

• Drivers of implementation : ROI assessment

– HR training, knowledge evolution, cost

– Reuse (decision making, modification,

calculation…)

Current opportunities

Assistive tasks

Support Complexity

System complexity

LC coverage

Auth. Apps

Manag. Apps

Fidelity

Assistive / K based / Auto.

TRL

Indiv. / Collab.

Synch. / Asynch.

Face to Face / Extend.

Tech. Acculturation Level

Conc. Acculturation Level

PDC drivability

PDC

Digitalisation

Organisation

Co-evolution

Tra

nsve

rsa

l

top

ics

Page 14: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

Organisation of the paper (Engin.

Design practices and & Digital evolution)

Transversal topics

• Enablers: training

• Drivers: ROI

Ch5. Future practices (4p)

Which Co-evolution ?

Ch4. New practices (4p)

Necessary coevolution

Ch3. Second practices (4p)

Assist the complexity

Disjonction

Ch2. First practices (4p)

Do simple tasks quicker

Evolution

Ch. 1: Introduction (3p)

Ch. 5: Conclusion (1p)

References

14

Page 15: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

15

Introduction (chapter 1) (lead: Lionel Roucoules)

• Ambition of the paper and links with: – Topic

– Previous KN: what is new

– Others communities: how CIRP provide specific vision and discussion

– Bibliometric analysis vs practices ages

• Scope and “fil rouge” presentation – Introduction of the figure’s features

face to the topic

– Transversal topics: interest for academic and industrial concern

• Chapters introduction

Page 16: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

16

Summary of chapter 2 :

1st practices (lead: Nabil Anwer)

This chapter relates the history of engineering design and CAD solutions until the 90th. It gives the fundaments that have driven the interest of IT developments and what have been the benefits for tasks, roles and skills in the system development process.

It summarises what have been hopes, illusions of IT capacities to conclude to the relative (in)dependency of Digital solutions, design & organisation concerns.

However, this linked evolution is still of great interest to assistive tasks since design needs are continuously evolving (System Engineering, Additive Manufacturing)

Page 17: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

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Summary of chapter 3 : 2nd

practice (lead: Bob Wilhelm)

This chapter shows how the strong evolution of computing technologies for engineering (1990 – 2017). At the same time the industrial context has been open to the world (extended enterprise, supply chain,…).

Therefore the chapter highlights how both engineering tasks, roles and skills, and digitalisation have profited from each others to support complexities

Nevertheless, the match/fit between current digital solutions for engineering and current engineering functions is still wondered (basic engineering features versus the implemented features, relation between industries and software vendors).

Page 18: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

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Summary of chapter 4 : current

opportunities (lead: Eric Lutters)

This chapter introduces the opportunities of

engineering and digitalisation coevolution within the

new industrial evolution called 4.0 (2017-now).

The conclusion of the chapter analyses whether those

new IT 4.0 (IA, cloud…) are providing better

adequation to industry features and new coevolution

with engineering requirements (digital twin, MBSE,

computational design analysis…)

This analysis is based on a enumeration of KPIs that

are used to assess engineering and IT performances

(robustness, flexibility, human acceptability…) in order

to drive the future developments.

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Transversal topics that will be

treated in each chapter (lead: Lionel Roucoules)

• External enabler: how to make academics & industry evolved (training approaches) – Academics curriculum

– Industrials practices evolution (relations with vendors, acculturation delay, link to long life learning)

– A dual IT and good practices evolutions (learning by doing)

• Success Driver: How did we and how could we assess the added value of digital transformation: – Industry: ROI assessment: cost vs benefits (large industries vs SMEs)

• How to assess TRL maturity

– Scientifics: what could be the « bench » to assess the solutions of the digital transformation

• How to assess scientific advances

Page 20: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

20

Transversal topics that will be

treated in each chapter (lead: Lionel Roucoules)

• External enabler: how to make academics & industry evolved (training approaches) – Academics curriculum

– Industrials practices evolution (relations with vendors, acculturation delay, link to long life learning)

– A dual IT and good practices evolutions (learning by doing)

• Success Driver: How did we and how could we assess the added value of digital transformation: – Industry: ROI assessment: cost vs benefits (large industries vs SMEs)

• How to assess TRL maturity

– Scientifics: what could be the « bench » to assess the solutions of the digital transformation

• How to assess scientific advances

“fil rouge” example: plane engineering

Chapter 1 : do engineering tasks quicker

Chapter 2 : support the complexity

Chapter 3 : opportunities of I4.0

PTC Digital Twin

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Prospective

Summary of chapter 5: synthesis

& perspectives (lead: Lionel Roucoules)

Via the global synthesis of the coevolution of

Engineering and Digitalisation based on the

proposed framewok.

Prospective is depicted regarding expectations

for future investigations. What will be scenarios

based on:

• Digitalisation in the industry of the future is

intrinsically regulated (time capacities,

human…)

• Data takes leadership (should data remain a

support for human ?)

• Human is an environmental regulator

(frugality & new technologies)

More questions than certitudes

Page 22: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

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Next: Timeline

WM 2018

GA 2018

WM 2019

GA 2019

WM 2020

GA 2020

WM 2021

GA 2021

Proposal

Detailed proposal to be

agreed by the STC.

Authors, Structure of

the paper, …

Kn

Presentation

Kn

Pre-Presentation

Final version of the paper

Kn

Discussion

Paper at 90%

Kn

Discussion

Paper at 75%

Kn

Discussion

Paper at 50%

Write summary and

contributors for each

chapter

Page 23: Co-evolution of digitalisation and Product Development ... · – HR training, knowledge evolution, cost – Reuse (decision making, modification, calculation…) System complexity

23

STC Dn Keynote Proposal (2021)

Co-evolution of digitalisation and

Product Development Cycles :

discussion and future prospects

CIRP office: 9 rue Mayran, 75009 PARIS – France, E mail: [email protected], http://www.cirp.net

International Academy for Production Engineering

General Assembly – August 23, 2019

Authors

• Lionel ROUCOULES (2) ([email protected])

• Nabil ANWER (2) ([email protected])

• Eric LUTTERS (1) ([email protected])

• Bob WILHELM (1) ([email protected])