Cwin16 tls-partner-mark logic-an innovation journey in manufacturing

An innovation journey in Manufacturing

with MarkLogic enterprise NoSQLToulouse, 23/09/2016, Eric Poilvet

An innovation journey in Manufacturing with MarkLogic enterprise NoSQL| 29/09/2016

Copyright © 2016 Capgemini and Sogeti. All rights reserved. 2

Table of Contents

PLM & integrating data from silos

Data applicability at scale

Data & content searchability



PLM is a multidisciplinary approach.

It handles variety of data and connected to many

places in the organization :

Design, engineering, manufacturing,

supply chain, support, services.

WHAT BUSINESSES WANT

Design

Manufacturing

Supply chain

support

Services

Engineering





Data Is In Silos Data is spread across disconnected databases

Data needs to be delivered in real time

Data all depends on applicability on products

THE REALITY

Design

Manufacturing

Supply chain

support

Services

Engineering



A Database That Integrates PLM Data Better, Faster, With Less Cost

THE DESIRED SOLUTION



Data, content & documentations

Flexible data modelHOW MARKLOGIC DELIVERS

Load structured and unstructured data as is

Document oriented NoSQL allows to load AS

IS existing documentation resources,

leveraging industry formats such as S1000D,

ATA, SGML/XML.



Semantics

Integrated Triple Store for managing facts and

relationships as semantic triples

Support for RDF and SPARQL standards

Scales to hundreds of billions of triples

Sub-second response via the Triple Index

HOW MARKLOGIC DELIVERS

<repair>ABC123</repair>

System

Sub-

component

Part

Component 1

Sub-

component

DOCUMENTS AND

TRIPLES TOGETHER

Parts & Partonomy management



Full-text capabilitiesHOW MARKLOGIC DELIVERS

Unstructured content comes from team

reports, test reports, documents.

Language search feature are required

PDF/Office content manipulation and

indexation

Enrich and classify the data with

semantic enrichment :

Manage unstructured data



Integrated Digital Delivery for More Efficient Automotive Repair

WHY MARKLOGIC?

Structured and unstructured data

Sophisticated search

Scalability for growing data set

Multi-device delivery (desktop, tablet,

Snap-On ProDemand device)

MITCHELL1

PRODEMAND

REPAIR

INFO

EXPERT

ADVICE

REPAIR

ORDERS

XMLJSON IMG

Mitchell1 – Streamlined Auto Repair Information



Integrated Digital Delivery for More Efficient Automotive Repair

WHY MARKLOGIC?


Sophisticated search

Scalability for growing data set

Multi-device delivery (desktop, tablet,

Snap-On ProDemand device)

MITCHELL1

PRODEMAND

REPAIR

INFO

EXPERT

ADVICE

REPAIR

ORDERS

XMLJSON IMG

The Results

Efficient – 85% reduction in manual work to deliver content

Scalable – 300GB of data, growing at 10GB per month

Real-time – 28 manufacturers providing new data

Smart – Semantic capabilities to predict repairs

Success – Streamlined digital delivery

Mitchell1 – Streamlined Auto Repair Information



Applicability is everywhere

Parts, catalogs, documentations…

…and sometimes distributed

across different types of objects

Applicability at scale



Part and documentation

applicability is usually defined as a

Boolean expressions that match

the product properties values

S1000D documentation standard

How is the applicability defined ?



Document

Part

(Property A = XX

OR Property D = TT)

AND Property M = PP

Applicability

Reverse

query

With reverse queries we ask the database :

What are the objects in the DB positive

to a given configuration ?

…and get sub-second result on billions of documents

Configuration

Property A =XX

Property B = ZZ

Property C = WW

Property D =TT

…

Property M = PP

How can MarkLogic manage applicability at scale ?



Integrated data hub to search across 31 different sources, applying applicability at

search

WHY MARKLOGIC?

Cross-domain search

20+ different languages and advanced

search

Sub-second queries applying applicability


Sophisticated search including faceting of

available documents/sources for a given

product configurationDocumenta-

tions

Car Manufacturer – Operational Data Hub

and applicability management

Parts, plates&

Catalogs

XMLJSON

Taxonomies



Integrated data hub to search across 31 different sources, applying applicability at

search

WHY MARKLOGIC?

Cross-domain search

20+ different languages and

adavance search

Sub-second queries applying

applicability


Sophisticated search including

faceting of available

documents/sources for a given

product configuration

Documenta-

tions

Car Manufacturer – Operational Data Hub

and applicability management

Parts, plates&

Catalogs

XMLJSON

Taxonomies

MITCHELL1

PRODEMAND

The Results

Efficient – New sources ingested with no data preparation

Scalable – Millions content and data objects in database

Real-time – Real-time queries on millions of assets applying

distributed applicability rules

Success – Streamlined digital delivery



Plane configurations

Flight test crew

report

Flight test crew

report

Flight data indexes

Cross domain queries on

Structured & unstructured

contents

Sophisticated Indexing

Ask Anything Universal Index – Indexes data,

structure on ingest

Advanced search – Relevance weighting,

proximity boosting, type-ahead suggestions,

co-occurrence, snippeting, etc.

More indexes for scalar (e.g., datetime,

numeric), geospatial, and semantic triple data

HOW MARKLOGIC DELIVERS

Search across multiple sources

Weather



PLM use cases require advance search capabilities on top of the data hub.

It might be required to search across structured data (configuration, parts) and test

datasets in order to identify specific conditions.

WHY MARKLOGIC?

Database side extensions to implement

processing logic close to the data

Extensible REST APIs to expose new business

logic to third party applications

Advanced and scalable search and indexes

capabilities.

Aerospace – Data hub and temporal intersection

Sensor 1

Sensor 2

Sensor 3

Time

Intersection

Next move



BIDIRECTIONAL

ANALYSIS

OF ALL DATA

MULTI-CHANNEL

DISTRIBUTION

OPERATIONAL DATA SOURCES

BINARY TXT GEOJSONXML

Operational Data Hub for PLM data

BITEMPORALCERTIFIED

SECURITY

ACID

TRANSACTIONS

FLEXIBLE

DEPLOYMENT

SCALABILITY

& ELASTICITYHA/DR

TIERED

STORAGE

Features Required



Contact information

Eric

PoilvetSolutions Architect

[email protected]

Insert

contact

picture

Insert

contact

picture

David

LelloucheAccount Executive

[email protected]

www.capgemini.com

The information contained in this presentation is proprietary.

Copyright © 2016 Capgemini and Sogeti. All rights reserved.

Rightshore® is a trademark belonging to Capgemini.

www.sogeti.com

About Capgemini and Sogeti

With more than 180,000 people in over 40 countries, Capgemini is a

global leader in consulting, technology and outsourcing services. The

Group reported 2015 global revenues of EUR 11.9 billion. Together

with its clients, Capgemini creates and delivers business, technology

and digital solutions that fit their needs, enabling them to achieve

innovation and competitiveness. A deeply multicultural organization,

Capgemini has developed its own way of working, the Collaborative

Business Experience™, and draws on Rightshore®, its worldwide

delivery model.

Sogeti is a leading provider of technology and software testing,

specializing in Application, Infrastructure and Engineering

Services. Sogeti offers cutting-edge solutions around Testing,

Business Intelligence & Analytics, Mobile, Cloud and Cyber

Security. Sogeti brings together more than 23,000 professionals in

15 countries and has a strong local presence in over 100 locations

in Europe, USA and India. Sogeti is a wholly-owned subsidiary of

Cap Gemini S.A., listed on the Paris Stock Exchange.

http://www.capgemini.com/

http://www.sogeti.com/

http://www.capgemini.com/about/how-we-work/the-collaborative-business-experiencetm


http://www.capgemini.com/about/how-we-work/rightshorer

http://www.capgemini.com/about/how-we-work/rightshorer



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Cwin16 tls-partner-mark logic-an innovation journey in manufacturing