Post on 03-Jul-2020
Deloitte Consulting S.r.l. This document is strictly private and confidential
Table of Contents
Dynamic Asset Management
Success Story – Provider of analytical instruments
Deloitte Consulting S.r.l. This document is strictly private and confidential
Dynamic Asset Management
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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?
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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
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…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
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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
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Success story
Provider of analytical instruments
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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
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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)
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A deep dive into the system…
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Home page is developed with SAP Fiori
News
Apps for ‘‘Super
Users’’ / Admins
Dashboard with
functionalities
for users
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There are some additional functionalities for admin / developer
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Asset management shows connected machines and ongoinganalyses
Machinery
list
Ongoing
analysis
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For each analysis, there is a view with detailed information
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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
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Errors log
The errors log shows
the list of errors with
date, time and
error message
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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
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Records and counters on use
The instrument view
shows the total
number of analysis
for day / week /
month / total
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Consumables tracking
Consumption <
80% nominal
Consumption =>
100% nominal
80% nom. <= consumption
< 100% nom.
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Software update
In the software
section there is a list
of the software
employed and the
available upgrades
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Labs and machinery management
For each laboratory,
is possible to view a
list of instruments
and users
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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