Dynamic Asset Management · Deloitte Consulting S.r.l. This document is strictly private and...

This document is strictly private and confidential

Dynamic Asset Management

17th May 2018

Deloitte Consulting S.r.l. This document is strictly private and confidential

Table of Contents


Success Story – Provider of analytical instruments

4Deloitte Consulting S.r.l. This document is strictly private and confidential

The Dynamic Asset Management includes the main innovative technologies of the 4th industrial revolution and resolves the most critical issues of the Supply Chain

How can I optimize

my Supply Chain?

What is the life expectancy of an

asset’s component or part?

How can I acquire data from

my assets?

How can I predict an impending

event?

How do I achieve optimal

asset efficiency and availability?

How can I improve

knowledge of the functioning of assets?

How can I know the status

of the assets at any time?

How can I detect issues sooner

in order to pro-actively intervene?


We have developed a specific methodology for Dynamic Asset Management that reduces the implementation time of each project phase…

• Business Strategy

• Feasibility study and Cost-benefit analysis

• Definition of the To-Be operating model

• Functional and

technical design of the system

• Increase analytic

effort

• Roll-out of the

solution

• Change Management

• System launch

• Continuous and

iterative improvements

• Identify target assets, products and

production sites

• Insights from data science

• Pilot realization

Pilot Scale and DeployIdeation & Strategy Operate

What is the art of the

possible?

How to turn a great idea into an

executable plan?How do I get it done? How do I evolve it?

IMAGINE DELIVER RUN


…and makes our Clients able to analyse data from different sources to take decisions more consciously

Assets

Products

IT Data and OT Data are historicized and

processed by a Big Data system

Operational

Technology Data

Real-Time monitoringof the conditions of assets and products

Use of Predictive Analytics techniques to predict future events

Strategic Insights

& Predictions

Functional model

Information

Technology Data

Illustrative


The implementation of Dynamic Asset Management is possible thanks to the adoption of some Key Enablers

Gradual equipment of sensors able to transmit information in real-time

Use of mobile tools to digitalizeprocesses and collect information on

field

Definition of the structure of assets and subsystems and of the related

information

Monitoring of the operating status of assets and components

Dynamic Asset Management Key Enablers

Use of statistical and mathematicalmodels applied in engineering and

maintenance

Availability of an advanced system, to support the new asset management

processes

Internet of Things

Digital Operations

Asset Virtualization

Real-time monitoring

Predictive Analytics

Asset Management System


Success story

Provider of analytical instruments


Overview of our Client

Italy15%

Foreign countries

85%

Key information

Industry

Manufacturing

Headquarter

Italy

MainBusinesscategories

3 • Stirring Line

• Environment Line

• Food&Feed Line

Countries inwhich operates+90

Core businessProduction of innovative instruments for food control and analysis


Overview of our Client

Products2 simple product lines [1k€/unit,

sold through corporate website or

Amazon]

1 complex product line

[100k€/unit, comprehensive of

technical consulting]

Company profile

MarketsExport in 160 countries (not all of

them have connectivity)

ClientsUniversity labs

Food companies (for

quality controls)

Certification and

government authorities

Selling channelsCommercial dealers for foreign

countries

Amazon Business (indirect

channel)


A deep dive into the system…


Home page is developed with SAP Fiori

News

Apps for ‘‘Super

Users’’ / Admins

Dashboard with

functionalities

for users


There are some additional functionalities for admin / developer


Asset management shows connected machines and ongoinganalyses

Machinery

list

Ongoing

analysis


For each analysis, there is a view with detailed information


Work setup shows the machine’s parameters and settings (not yet enabled)

Work setup shows a

list of parameters

and settings (e.g.

temperature) for

each instrument


Errors log

The errors log shows

the list of errors with

date, time and

error message


Machines records

For each machine there

is an info section with

information about:

• Serial number

• Last connection date

• Subscription status

(e.g. trial)

• Instrument

• Laboratory

• Service maintenance


Records and counters on use

The instrument view

shows the total

number of analysis

for day / week /

month / total


Consumables tracking

Consumption <

80% nominal

Consumption =>

100% nominal

80% nom. <= consumption

< 100% nom.


Software update

In the software

section there is a list

of the software

employed and the

available upgrades


Labs and machinery management

For each laboratory,

is possible to view a

list of instruments

and users


Instruments dashboard

The dashboard shows:

• the total number of

instruments

• the percentage of

connected

instruments

• the type of

instrument

• the instruments

information and

status for each

customer

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