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© Dassault Systèmes | Confidential Information | 12/4/2019 | ref.: 3DS_Document_2019 Digital Continuity for collaborative design, simulation, validation and decision making across the entire lifecycle Dr. Tom-David Graupner, Expert Sales Dassault Systemes Deutschland GmbH Stuttgart, November 20 th 2019

Transcript of Digital Continuity › sites › default › files › 3d...Schedule, Training & Support, Disposal...

Page 1: Digital Continuity › sites › default › files › 3d...Schedule, Training & Support, Disposal Systems Engineering integrates all the disciplines and specialty groups into a team

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Digital Continuityfor collaborative design, simulation,

validation and decision making

across the entire lifecycle

Dr. Tom-David Graupner, Expert Sales

Dassault Systemes Deutschland GmbH

Stuttgart, November 20th 2019

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Need for Digital Continuity

3DEXPERIENCE Platform Approach

Model-based Systems Engineering to create a holistic product view

Transforming IT Projects into Value Driven Digitalization Projects

Contents

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Today, everything is well structured and under

control. But unfortunately only within the silos!

DOC CAD BOM Req. CAE Manufacturing Quality / Issue ERP

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Innovation inhibitors: Daily life of a Business UserReview

MCAD Design

ECAD

Simulation

BOM & Change

Manufacturing & ServicesConfigure & Plan

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Electrical

xCAD-

Management

Requirement

Traceability

Program- &

Project

Management

Portfolio-

Mgt

Global

Collaboration in

Real-Time

Work-

instructions

Engineering

ChangeMaster

Data

Mgt.

Need for Digital Continuity to orchestrate multiple domains

Software

Model Based

Systems

Engineering

Development

Processes

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3DEXPERIENCE Platform breaks the Silos

User Interface Security3D Data Model

Data Index

Improve productivity

On Premise On Cloud

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More than 500 specific Apps to choose fromOn Premise On Cloud

#3 Data-Driven

#1 DigitallyConnected

#4 Virtual+Real

#2 ModelBased

Its foundation is based on four characteristics:

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#1 From electronically stored static files to

Digitally Connected Data Objects

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#2 Model Based: Seamless consumption and

delivery of models e.g. in Topology Optimization

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#3 Data-Driven: Using the example of Dashboarding

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#4 Virtual+Real: Linking the Virtual with the PhysicalSmart Closure Product Validation with Virtual Reality*

* Source: Cooperation Project Fraunhofer IPK & Dassault Systemes

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DATA SCIENCEBig Data / Analytics / Machine Learning

SCIENCEModelling / Simulation

COLLABORATIONglobally, in real time

+

+

3DEXPERIENCE Core CapabilitiesThree engines under one hood

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3DEXPERIENCE Values

Discover & Explore

Contextualized

Apps Values

Collaboration

Authoring

Insights & Knowledge

Analytics

3DDashbaord Values

Set of Apps together

Interoperability 1+1 = 10 !!!

3DEXPERIENCE Platform DashboardingCompass activities by connecting Apps, Data and People

A typical Dashboard

Discover & Explore

Context

Collaboration Authoring

AnalyticsInsights &

Knowledge

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Requirements

Requirements / Program-, Project- and Task / Change / Configuration

Function Logical Process ResourcesEngineering

Item

Mfg Item

Simulation

Virtual design of the

physical product

Define main product

transformation

/assembly steps

Define & balance

Routings for

Manufactured Items

Author Work

Instructions

Define physical

resources &

layout of production site

What makes 3DEXPERIENCE unique in PLM?

One digitally connected Data Model along the life-cycle!

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Digital Continuity in Industrial Equipment

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Many Industries are Facing growing Technological ChallengesTypical figures in T&M* and

A&D** (one program)

Populations of software-intensive distributed

systems interacting together in an

unpredictable world

Multidisciplinary field that includes a

combination of mechanical, electrical, control

and software

Mechanical system Cyber systemsMechatronics systems

2 000 - 5 000 components

4000 - 15 000 functions

100 000 interfaces

0,5 - 1 M requirements

Projection

Volume & speed

*T&M: Transportation & Mobility

** A&D: Aerospace & Defense

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Systems Engineering is an interdisciplinary approach and means to enable

the realization of successful systems.

What is Systems Engineering?

It focuses on defining customer needs and required

functionality early in the development cycle, documenting

requirements, then proceeding with design synthesis and

system validation while considering the complete problem

incl. Operations, Performance, Test, Manufacturing, Cost &

Schedule, Training & Support, Disposal

Systems Engineering integrates all the disciplines and

specialty groups into a team effort forming a structured

development process that proceeds from concept to

production to operation.

Systems Engineering considers both the business and the

technical needs of all customers with the goal of providing

a quality product that meets the user needs Source: INCOSE

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Legacy Landscape mapped to Systems Engineering process

System

Component

Sub-subsystem

Subsystem

Requirements

Analysis

Functional

Analysis

Logical

Design

Test

Integration

Validation

FluidicElectrical

ElectronicsMechanical

Physical

Design

3D Geometry

Global

Systems

Architecture

Design

Disciplines /

Suppliers

Equipment

Architecture

and Design

Requirements Architecture

DOORS, Word/Excel Files

System Functional Architecture

Visio, Ppt, Mdraw, Rhapsody

Logical Modeling

Matlab, SIMULINK, Dymola

Physical 3D Modeling, CAD, FEA, CFD

CV5, SolidWorks, NX, Creo, …Behavioral Component Testing

Ansys, AbaqusVirtual Test

Behavioral System Testing

Dymola, MatlabVirtual Test

Capability Testing

Product Testing

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Today's State-of-the-Art V-Model ApproachDocument-based Approach | high effort and limited traceability

Requirement

engineeringIntegration

Functional

architectureValidation

TestLogical design

Several

Models

Physical Design

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Model-Based Systems Engineering needs a Platform approachPulling out information from documents and put it into mathematical-technological models

Lifecycle phases

System Context

System Scenarios

Component Architecture Components Behaviors 3D Geometry

Mission Scenarios Environment

Space Allocation

Stakeholder / S

ystem / D

esign Requirem

ents

Functional Architecture

Use cases

Requirements

Analysis

Functional

Analysis

Logical

Design

Test

Integration

Validation

Flui

dicElectrical

ElectronicsMechanical

Physical

Design

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Need for Orchestration of all domains

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Model Based Systems Engineering

Mechanical Models

Electrical Models

Software Models

Fluid Models

Analysis Models

Requirement

Collaboration

real time

analysisneeds

performanceestimates

System Model

Electronic Models

traceability

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Why Value Engagement?

TECHNOLOGYPEOPLE PROCESS

BUSINESS

Customer’s

business

transformation

of companies undertaking transformation fail to achieve desired business results50%+Source: “Business Transformation and the Corporate Agenda”. KPMG Survey

910 executives multinationals firms, 2014

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VALUE

DELIVERY

VALUE

COMMITMENT

VALUE

DEFINITION

VALUE

ASSESSMENT

Identify Transformation Needs

Initialize a Business Justification

Imagine & Shape the Solution

Prepare & Secure the Value Commitment

Build a Business Justification

Demonstrate the Value & Convince

Define the solution roadmap & Secure the Delivery

Re-engineer business processes, leveraging OOTB

Value Engagement Methodology: Transforming IT

Projects into Value Driven Digitalization Projects

Drive & Arbitrate By Delivered Value

Maximize Out Of The Box Coverage

Leverage & Capture Best Practices

Deploy Change Management

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3DEXPERIENCEon the Cloud

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