Industria 4.0:Il punto di vista di IBM Italia

Maurizio Venturi IBM GTS Consulting Internet of Things & Industria 4.0

International Business Machines

American multinational technology and consulting corporation funded in 1911Present in more than 170 countries with more than 370.000 employeesLeader in Information Technology: microprocessors, servers and softwareProvide infrastructure, hosting and consulting services 12 Research laboratories in 6 continents (3.000 employees)

Almaden (USA), Austin (USA), Beijing, Delhi, Dublin, Haifa, Melbourne, Nairobi, New York, Tokyo, Sao Paulo, Zurich

5 Nobel prizes and first US company in patents for the last 24 years

“A Cognitive company based on Cloud and focused by Industry”

Cloud computing, is a kind of Internet-based

computing that provides shared processing resources

and data to computers and other devices on demand. It

is a model for enabling ubiquitous, on-demand access

to a shared pool of configurable computing

resources (e.g., networks, servers, storage,

applications and services), which can be rapidly

provisioned and released with minimal managementeffort. Cloud computing and storage solutions provide

users and enterprises with various capabilities to store

and process their data in third-party data

centers. It relies on sharing of resources to achieve

coherence and economy of scale, similar to a utility (like

the electriciy grid) over a network.

Source: Wikipedia

25

Cloud Computing

Cognitive Computing è l’evoluzione degli strumenti di “advanced analytics”

CognitiveComputingaffrontasituazioni complesse chesono caratterizzatedaunagrandequantitàdidatinonstrutturati,ambigui,incerti,contrastantiesoggettiacambiamentifrequenti erapidi;l'obiettivo, passandodaunapproccioprogrammatico(deterministica)adunapproccioprobabilistico,èquello diaggregareeorganizzareidatiperpermettereallepersone eallemacchinedilavorareinsieme inmodalitàsemplici eintuitivetrasformandoidatiininformazioniutiliaprenderedecisioni consapevoli

CognitiveNatural Language Processing

TextAnalytics

MachineLearning

Image/VideoAnalytics

“Chiedere se un computer sa pensare è come chiedere se un sommergibile sa nuotare”Edsger Dijkstra

IBM è membro della EmA CE100 Foundation

La quarta rivoluzione industriale

Smart Manufacturing

Industry 4.0

Piano Nazionale Industria 4.0

Fonte: Ministero dello Sviluppo Economico

Ridurre i costi di gestione e migliorare efficienza della “value chain” di fabbrica

Intelligent assets and equipment

Cognitive processesand operations

Smarter resource and optimization

Intelligent assets and equipment utilizes IoT and cognitive capabilities to sense, communicate and self-diagnose issues so they can optimize their performance and reduce unnecessary downtime

Cognitive operations and processes bring more certainty to business by analyzing a variety of information from workflows, context and environment to drive quality, enhance operations and decision-making.

Utilize IoT and cognitive insight to optimize resources (worker, energy, expertise) using geolocation data, individual data, usage data and environmental conditions along with analytics.

IBM$Watson$IoT$Platform

34%Decrease in equipment downtime at

major global auto manufacturer

25%Increase in overall productivity at major

European automaker

8%Annual saving in energy cost at IBM

facilities

IoT abilita una nuova generazione di servizi di gestione degli Asset

Asset Management and Facilities Maturity

Absent Cognizant Evolving Proficient Advanced

Maintenance is an Expense Maintenance is an InvestmentTime and Effort

Cos

ts

Performance

Calendar basedUsage based

Predictive

Risk based

Condition based

Enterprise Asset Management Asset Performance Management

Reduce assets operational costs & improve reliability with real-time metrics

Unpredictable maintenance periods cause loss of production time and increased cost.The need is to improve maintenance agility, responsiveness and increase operational availability by monitoring the health of assets introducing high automation & connections also in the production line.This will deliver an overwhelming amount of data to be used to gain operational efficiencies.

Industria 4.0 e Internet of Things

L’approccio all’innovazione

Nuovo Prodotto Linea di prodotti

Prodotto Sensorizzato

ProdottoTradizionale

BusinessTradizionale

BusinessAggiuntivo

Nuovo modellodi business

Innovazione delmodello di business

Innovazione di prodotto

L’approccio all’innovazione di Daimler-Mercedes-Moovel

Nuovo Prodotto Linea di prodotti

Prodotto Sensorizzato

ProdottoTradizionale

BusinessTradizionale

BusinessAggiuntivo

Nuovo modellodi business

Innovazione delmodello di business

Innovazione di prodotto

Manutenzione“In car experience”

Gestione flotta Gestione

post-vendita

Industrial & manufacturing predictive solutions

IBM Predictive Maintenance on Cloud

IBM Prescriptive Maintenance for Manufacturing

IBM Prescriptive Quality for

Manufacturing

IBM Prescriptive Warranty for

Manufacturing

• Persona: Reliability Engineer Providesrecommendationsonmaintenancepolicy

• Accepts data (csv or through IoT Platform) sensor data, maintenance data, failure data

• APIs for data access and query. Maximo data API

• Part Number: D1PSRLL or D1QXVLL (manufacturing)

• 30 day trial link• Recorded demo link

Out the box Line of Business Apps - Born on the Cloud• Persona: Quality Engineer• Integrated with IoT

Platform, csv files also supported.

• Out of the box quality monitoring models

• Monitor attributes of parts, components and products as they complete critical manufacturing steps

• Part Number D1QXTLL• Free 30-day trial• PQ Recorded demo with

narrative

• Persona: Reliability Engineer

• Out of the box warranty analysis models

• Understand conditions that lead to accelerated to accelerated wear of products to help minimize warranty claims

• Part Number D1QXULL• Free 30-day trial• PW Recorded demo with

narrative

PMQ 2.5.3 Single Tenant on Softlayer

IBM Plant Performance

Analytics

• Persona: Plant ME, Plant Process Engineer

• Predicts performance constraints to production, prescribes remedy

• Purpose built for manufacturing with ISA 95 information model

• Prebuilt industry analytical model for robot based manufacturing operations. Industry model framework to develop analytical models for other operations

• Prebuilt UIs

• Persona: Data Scientist and LOB

• Fully customizable build and runtime solution

• SPSS, Cognos, DB2, IIB authoring tools and solution installer included

• Prebuilt: Meta-data driven event prediction, asset heath ensemble model, data schema with asset profiles, orchestration, FM model.

• Part number: D1K63LL

Predictive Maintenance & Quality

Predictive Maintenance & Quality

Predictive Maintenance & Quality

mmventuri@it.ibm.com

“Ogni cosa che sentiamo è un’opinione, non un fatto.

Ogni cosa che vediamo è una prospettiva, non la verità."

Marco Aurelio (121-180)

@mmventuri

INFORMATIONDATA KNOWLEDGE SAPIENCE