DigitalRevolution-V9
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Transcript of DigitalRevolution-V9
How we approach the
Digital Revolution
Radix as your technological partner
We see technology as a key foundation for the development of a winning strategy (Figure 1). By
"strategy" we understand the set of choices regarding Markets & Customers, Products & Services,
and Channels that define your company or organization.
As we approach the idea of developing a winning strategy it becomes clear that these
choices—especially those related to Products & Services and Channels—are driven by the technology
available in the company or organization's field of work. That is to say, it is the available set of
choices related to Production Processes, Sales and Management that optimizes your business as a
whole.
With this in mind, Radix supports its customers in understanding how technology can help them
overcome their major operational challenges and empower their business to grow. In other words, as
demonstrated in Figure 2 below, we want to answer our clients' most critical questions through state
of the art technology.
Strategy
Set of markets and clients’
choices, products, services and
channels that define the
company
Markets & Clients
Products & Services
Channels
Technologies
Set of choices related to production
processes, sales and management
that optimize the business
? !
!
!
!
?
?
?
What questions, challenges,
or opportunities does your
business have when looking
to your area of operation?
How can technology help
you find the solutions you
are looking for?
01
Radix was created with the ambition to support our customers' business with the most critical
technology issues of their operations. We seek to align our technological expertise with the needs
and opportunities of our clients through innovative solutions, specified and implemented with a deep
understanding of their operations.
Radix combines engineering, software development, automation and industrial IT to deliver its
customers a customized solution tailored to address their needs. This unique portfolio enables us to
meet the multiple challenges of industries and organizations around the world.
Our multidisciplinary team possesses both technical and market knowledge with which they are able
to solve the most complex challenges of global industry. Our accumulated experience in different
markets, combined with our ability to understand key customer issues, affords our team a unique
perspective in regards to any problem our customers may face.
Engineering
Software
Automation
& Industrial IT
Consulting
Why Radix?
02
1% Telecom
4% Instrumentation
3% PlanningProcess 14%
Automation 18%
Industrial 1%
Civil 5%
Safety 3%
Naval 2%
Piping 7%
Mechanical 5%
29% Software
8% Electrical
Problem Solution
SLOVAKIA
Our Customers
We work together with over 80 clients from different industries such as Oil & Gas, Energy, Chemical
& Petrochemical, Metals & Mining, Pulp & Paper, Food & Beverage, Agribusiness, Infrastructure,
Health, Entertainment, Finance, to name a few. Our main customers are presented below.
Radix worldwide
03
An Ecolab Company
PUCPUCR I O
PUC
Oil & Gas
Operational intelligence aims to assure operational efficacy and maximize operational efficiency
while mitigating risks. It is built on an understanding of the set of choices related to production and
service execution, maintenance, supply chain management, and sales. Operational intelligence is
critical to the success of a business.
Since the turn of century, with the consolidation and wide spread of communication and information
technologies, the world has been moving rapidly toward a digital age, which we call “the Digital
Revolution.”
Why is the Digital Revolution so relevant to
your daily operation?
>>>>>>>>
Production and service execution processes Maintenance of the industrial park Supply chain management Sales and after-sales Pricing, costs structures and margins Logistics of inputs, both internal and external Inventory management Etc
Operational Intelligence
04
Do I have the company's operation and management
information in order to ensure proper decision making?
Can I produce more efficiently with less power
How can I allocate my resources to guarantee the
expected results on revenue and costs?
What should the technological path for the next growth cycle of production be?
How can I reduce the operating costs of the
company?
How can I gain better control over my production?
What do I need to do to ensure the maintenance of quality of
my products and services?
How can I leverage information technology and electronic channels to reduce costs?
How can I reduce operational risks?
Operational Efficiency Operational RisksOperational Efficacy
Examples of Operational Intelligence Questions
Based primarily on the four technological advances below, the Digital Revolution is changing the way
we do business. Operational time frames, space restrictions, storage capacity and processing power
limitations are being redefined thanks to recent technologies, like intelligent sensors, networks, cloud
services, machine learning and so on.
A rising volume of information is moving faster through a more intelligent network.
Regardless of the source, it is well established that these changes will add trillions of dollars in value
to businesses around the globe. It might happen in the form of revenue increase, reduction of
operational costs, and/or new business models. All three scenarios are possible, and businesses will
be empowered to:
Reconsider past solutions to problems solved so as to offer improved efficiency.
Solve unsolved issues due to lack of necessary information.
Identify new issues and opportunities due to new information acquired and increase
capacities for analysis.
We believe that businesses should look to this Digital Revolution as an opportunity to take their
Operational Intelligence to the next level, and enhance their performance.
1.
2.
3.
Information capture and
automated cameras in
the field are more viable
›
›
›
Intelligent sensors, machines
and assets (RFID, beacons, etc.)
Wi-fi instrumentation
Intelligence, data storage and
embedded processing power
›
›
›
Networks (Modbus, Fieldbus,
etc.)
Satellites and geolocation
devices
Radio and mobile technology
›
›
›
›
Cloud computing
Relational and NoSQL data
bases
PIMS
Hardwares development:
›
›
›
Data processing tools (cognitive
computing, neural networks,
machine learning, etc.)
Faster processing
Predictive maintenance
Data transmission is safer,
financially viable and
less restricted by time
and space
Storage and
management of big data
is more viable
Analyses are faster,
easily available and
more sophisticated
MB/GB TB/PB
05
Our approach to the Digital Revolution always
begins by defining the Questions we want to
answer. That is, asking ourselves “what do I
want to know?” Specifying the issue and
understanding its boundaries is a strategic step
to capitalize on this revolution’s true value. The
outcomes of the Digital Revolution application
are always the Answers to the questions
posed initially.
Questions originate in the Real World, the
environment where the operation happens. It is
also the source of all data needed for answers.
Using physical and chemical sensors installed
throughout the World, the required data is
captured. This stage is also known as Data
Acquisition.
Data acquired previously is transported from
the World to a storage drive. Transport
choices may vary primarily on distance, and
then on costs and availability. Available
options, in order of ascending distance, are:
Bluetooth, Infra-red, Wi-fi, Radio Frequency,
Cable, GPRS, Satellite and other emergent
technologies.
HotTopics
How we approach the Digital Revolution
1.
2.
How is IoT (Internet of Things) changing my World?
How can Big Data and Advanced Analytics leverage operational intelligence?
06
Large amounts of data (big data) are then
stored. Storage can be either on-premises or
cloud-based. The choice may take into account
required security levels, expected return of
investment, projected data volume demand,
expected productivity collaboration needs.
Storage options can also be relational and/or
historical regarding the type and volume of
data being transported from the World.
The data stored is processed using analytical
tools to answer the question made initially.
Analysis may vary in level of sophistication
due to the complexity of the questions, time
constraints and reliability of final information.
Analysis results are displayed on fixed or
mobile devices. Availability and Mobility of
final information varies in accordance to the
specific requirements set forth by business
management.
Cyber Security must be a major concern
throughout the entire process. It is imperative
that the correct information is going to the
authorized entity at any given time.
11001100101010101010101010101010101010101010101010101010010101010101010101010101010101010101010101010101101010101010101010101010101010101010101010101010010101010101010101010101010101010101010101010101
1100110011001100110011001100110011001100
! ! ! !
HotTopics
3.
4.
How is Mobile Technology improving operational intelligence?
How can I guarantee Cyber Security throughout my entire network?
Questions
Answers
Acquisition
Transport
Storage
Analysis
Real World
Availability
& Mobility
CyberSecurity
????
07
We understand the Internet of Things as connecting any device to the Internet. This includes
everything from cellphones, coffee makers, washing machines, headphones, lamps, wearable devices
to components of heavy machinery, such as a jet engine of an aircraft or the drill of an oil rig. Due to
technological advancement in sensors, data communication, storage and processing of large volumes
of data in real time —on site or remotely— it is now possible to transform the data generated in real
time, anywhere. The next step of this evolution might be the Internet of Everything, connecting people
with things.
How is IoT (Internet of Things) changing
my World?
Computers and
Smartphones
Wearable
Home Appliances
Load Vehicles and
Transportation
Industrial
Machines
08
The opportunity was...
Sotreq saw an opportunity in IoT to leverage its sales strategy. The company wanted to explore IoT
combined with Advanced Analytics technology to improve sales team efficiency and increase revenues.
How the solution was designed...
> Development of an integrated system with inventory and calendar information of parts exchange in
clients’ machines.
> System that enables mobile and offline operation, with historical and online base, synchronizing
and reconciling databases.
> Intelligence management system based on neural networks for field use with options for
generating alerts and yielding sales leads for machines in need of new parts.
The outcome...
> Information became fully integrated - customer , inventory and machines in need of maintenance
—thereby— increasing the assertiveness of the sales team.
> A consequent 10% increase in sales volume, due to greater assertiveness and prompt access to
leads on machines needing new components, in addition to other pertinent data to support sales.
Case Study: Sotreq sales volume sees 10%
increase using IoT and Machine Learning
09
Radix has extensive experience in solutions of many types related to industries and has extensive
experience in operational data collection. With the evolution of technology equipment and advances
in communication protocols, storing and processing, the amount of global data has increased
exponentially. Additionally, there have been increases in the variety of data generated (much of which
went uncollected historically), the need for processing speed and the need to ensure the veracity of
data (The Four V's of Big data). This reality requires an ability to work with large volumes of data to
generate insights in order to increase the efficiency of operations.
How can Big Data and Advanced Analytics
leverage my operational intelligence?
Support
Configuration/
Registers
Performance
Analysis
Reports
Inventory
Traceability
Genealogy
Maintenance
Quality Production
Schedule
Customization
Exte
rnal
Inte
rfac
e
Safety
Active Directory
Weblog
SQL Server
Oracle
Auditing
Failures Treatment/Log
Data Export
PI (SAP)
CRM
XML
CLM
OPC
MODBUS
XQI
LIMS/PIMS
10
The original problem...
The client was building a new unit to produce Long Steel and desired to employ this unit with the MES and
PIMS fully implemented, in order to connect, monitor and tightly control manufacturing, so as to
successfully integrate business levels with the manufacturing processes.
How the solution was designed...
> Construction of a MES layer for integration and optimization of the use of all equipment on the
shop floor, thereby providing greater control and security for the management of production
processes, with all the data controlled in MES.
> Building a big data infrastructure to allow for statistical learning and improvement of operational
efficiency and risk management.
The outcome...
> Enhanced support for the programming and production of billets, rebar and wire rod in the
production processes of the plant (Steelworks, Lamination and Finishing).
> Better designed manufacturing flows, increasing the speed of the production cycle as well as its
efficiency, reducing the expected lead time by 20%.
> Reduction of work in progress by 24% and reducing the amount of rework by 55%.
> Detailed understanding and tracking of plant stops and processes failure allowing for
improved preventive intervention and smoother operations.
Case Study:
using X!MES with Big Data Advanced Analytics
CSN reduces lead time by 20%
11
The speed at which things happen today demands an increased reaction capability, necessitated by
an surge of data availability that was once largely nonexistent. On an operational scale, this ability is
directly reflected in ensuring the effectiveness of the operation (e.g through more assertive
maintenance routines). To respond to this need, increased investment in Mobile Apps is needed to
ensure the smooth running of operations, as well as enable increases in efficiency.
How is Mobile Technology improving operation
intelligence?
Time
!
Analytic Latency Decision Latency
Questions
Answers
Decision Making
Value
Lost Value
Lost Time
Mobile empowered business to shorten
latencies by sending the questions and
answers to the analytics tools and
decision makers, respectively.
?
12
The original problem...
Improving the decision-making process of the medical team in a hospital to assess best procedure
options for a wide range of cases, leveraging medical outcomes and optimizing the use of facilities,
medications and human resources.
How the solution was designed...
Development of a mobile application —Medical Consultant— that integrates all hospital records to allow
data consolidation and protocol results analysis, providing a framework for experienced doctors to make
informed decisions based on the hospital´s accumulated experience.
The expected outcome...
> The creation of a database consolidating electronic records of patients, diseases, protocols and history
of medical success.
> A significant optimization of human resources by allowing for an overview of distribution of nurses and
medical support throughout the entire hospital operation.
> The elimination and substitution of least effective protocols.
> An optimization of resources —facilities, exams, and drugs— through the creation of an effective cost
benefit decision framework.
Case Study:
Consultant at Rede D’Or
Optimizing Resources with Medical
13
While rapid technological developments have provided vast areas of new opportunity and potential
sources of efficiency for organizations of all sizes, these new technologies have also brought
unprecedented threats with them. Cyber security —defined as the protection of systems, networks
and data in cyberspace— is a critical issue for all businesses. Cyber security will only become more
important as more devices, ‘the internet of things’, connect to the internet. With this in mind, Radix
stands ready with the skills and services needed to develop this area even further.
How can I guarantee Cyber Security troughout
my entire network?
Cyber Security is the
of the information
to the recipient
at time
DELIVERYCORRECT
AUTHORIZED
ANY GIVEN
14
The original problem...
An institution needed to connect to market payment systems, ensuring data transfer protection from
external access while managing load on cryptographic hardware.
How the solution was designed...
A new solution was created in Java to perform cryptographic operations on messages, as well as manage
and ensure the status of the digital certificates used in these operations, manage the load between
Cryptographic Hardware (load balance owner), and perform encryption load tests (performance
monitoring).
The outcome...
> Platform independence and ease of system maintenance.
> Uncoupling in relation to Cryptographic Hardware (HSMs), with interoperability between
heterogeneous HSMs.
> Achieving load balance between HSMs and filling gaps in the old system.
Case Study:
Exchange for a Large Financial Institution
Protecting Sensitive Data
15