Automation
Computer is main part of Automation.
Charles Babbage (1822) invented the first computer
but due to lack of funding he could not build it as per his design until 1991.
Also Alan Turing invented computer science (1936).
He is known as founding father of Artificial Intelligence
as well as he is known as founding father of modern Cognitive Science.
Further the ENIAC (1945) was the first electronic general purpose digital
computer.
It is the short name of Electronic Numerical Integrator And Computer (ENIAC).
As a matter of fact it was huge in dimension
and it filled a room.
Then the first PLC (Programmable Logic Controller) came in the world in 1968.
As a result General Motors (GM) designed a specification for a
‘Standard Machine Controller’ and distributed it to vendors for a quote.
To list some of the major elements of the specification included:
– it should use solid state components,
-it should be modular,
-and it should be expandable.
Thus GM chose Allen-Bradley to design that ‘Standard Machine Controller’.
Not to mention people sometime call
Odo Josef Struger
from Allen-Bradley as the
“father of the programmable logic controller”.
Since he was involved in the invention of the
Allen‑Bradley programmable logic controller
and is credited with inventing the PLC.
Automation with PLC
Richard E. Morley (December 1, 1932 – October 17, 2017) was an
American mechanical engineer.
As a matter of fact Richard E. Morley is
also considered as one of the
“fathers” of the programmable logic controller (PLC).
Since he was involved with the production of the
first PLC for General Motors,
the Modicon,
at Bedford and Associates in 1968.
Digitalization
Digitalization got its start as far back as 1679
when Gottfried Wilhelm Leibniz
developed the first-ever binary system.
For this purpose he authored a well-crafted book known as the
Explanation of Binary Systems in 1703.
He wrote this book to help people understand the binary system.
In general Digitalization essentially began with the advent of
computers in the 1950s.
Since then, the non-stop march of Digitalization has transformed nearly
everything into computer-friendly 1s and 0s.
Digitalization has changed the way we work,
communicate,
shop,
bank,
and even how we relax and
entertain ourselves.
In the same way Digitalization is causing a trend of Automation
within the world today.
But what exactly is Automation?
What are the different dimensions of it?
Also what does it mean to you as an organization?
In fact I am going to take you for a ride
to find answers to all these questions.
My name is P K Saxena.
At the present time I am the CTO of Sofcon Systems India Pvt. Ltd.
Sofcon Systems India is an Automation Solution provider company.
Eric Kimberling is my guide for this ride.
He is CEO of Third Stage consulting company.
It is an independent consulting firm.
And it helps clients throughout the world with their
Digital Transformation journeys.
Organizations have been talking about Automation for several decades.
They have been looking at ways to be more efficient,
to be more productive,
to be more profitable
and to be more effective.
I hope will you not agree with me?
That Automation word is being used in a very broad sense.
What exactly does Automation mean in today’s time frame?
I want to throw some light during this joy ride.
History of Automation
In the first place let us first look at history
and also look at
how Automation has evolved in recent years.
And then let us look at how digital technologies have evolved in recent years.
Therefore we travel many decades back to the era
when organizations adopted computers for the first time.
At that time the main focus of organization was on very
simple data collection
as well as simple data capture.
They used to gather data electronically
and bring it to central location
for further processing.
At the same time this data had been previously stored on paper
or on spreadsheets.
In the 1970s and in the 1980s,
organizations were starting to capture data within computer systems
for the first time.
They wanted to get centralized visibility of their operations and
also they wanted to see their financial results.
Henceforth let us do fast forward to the 2020s.
Automation and digital technologies are certainly doing
what they have been doing always
which is visualizing operations
and financial results
in central location.
But now they are also adding other layers of benefits such as
streamlining workflow
and is making sure
that business processes are
as efficient
as possible.
They are also focused on providing
more insights into
what is happening within the organization.
So that in other words,
Automation is also providing deeper insights into
what exactly is happening rather
than
just providing top line numbers.
Presently we are seeing that
in some cases organizations are completely automating
their low skill high volume types
of business processes.
It is important to realize
that Automation over the years has really evolved
from just simply providing
digitization of data
to now providing
-more efficiency,
– more top line revenue results,
-and more insights
as well as deeper understanding of business operations.
Software Automation
The core and fundamental foundation of Automation is
Software Automation.
This is a continuation of a trend
that started decades ago
which is the computerization of back office processes.
Things like ERP systems capture data
related to financial information
or inventory levels or
stock locations in a warehouse.
But in addition to just capturing data,
Software Automation is also making workflows easier.
It is tying together end-to-end business processes
across an entire operation in an industry.
This is really one of the big benefits of
Enterprise Resource Planning or
ERP systems or
Customer Relationship Management or
Sales Systems
or Supply Chain tools.
As a matter of fact all these sorts of technologies tie together
business processes across different functions
and
disciplines within an organization.
In fact there are other technologies
and other forms of Automation
that can take your organization even further ahead.
Robotics and Sensors
Another technology and form of Automation
that is really evolving in the last several years is the concept of
Robotics and Sensors.
Probably the easiest way to think about
Robotics and Sensors
is to think about a
manufacturing shop floor.
Robots are automating many of business processes
and
production processes.
In particular these robots are physically moving products around
and also are assembling those products.
Likewise you also have robots in warehouses.
Where they are moving inventory from location to location.
As well as they are moving it to the staging area
so that it can be shipped to customers.
These are examples of how many organizations are using Robots in their
manufacturing departments.
On the positive side it is not just the robots that are being automated,
it is the data that those robots are capturing such as
–data about inventory locations,
-about work in progress status,
–quality issues,
–productivity metrics.
All these sorts of information are being captured within robotics
and that data is then being pushed back to computer systems or
– in the Software Automation
that I already discussed in this article.
After that when we think about Automation,
it is not just the core back office software
that is being automated.
But also it has physical automation using physical robots
as well as using all the sensors
that go along with that.
Robotic Process Automation
Coupled with Software Automation and Robotics,
we have a third type of Automation which is
Robotic Process Automation.
Despite the name Robotic,
there is not a physical Robot involved in
Robotic Process Automation
but it is a function within a software system
that acts like a Robot.
In fact it is some kind of Software
that does the work automatically
what a human might have historically done.
For example if you have any sort of transaction
that does not require a lot of skill,
as well as does not require a lot of human intelligence to do
but it is a high volume type of activity
that can become very efficient
as an organization grows,
then Robotic Process Automation
can be a way to automate those processes.
Example of RPA
For instance a good example of Robotic Process Automation would be
purchase order processing.
So that when you go to procure any sort of product
or service
you typically issue a purchase order.
In this case when you receive delivery of item
that you have purchased and
then you ultimately issue payment.
In fact when you have that purchase order,
then you are going to get invoiced by the supplier.
You need to double check
and you need to do a match to make sure
that you have a purchase order
that reflects what is being invoiced
so that you have actually received delivery of what you are being invoiced for.
In brief that is considered the three-way match and
-so that Robotic Process Automation can automate that and
-actually it can do that for you
and kick out the exceptions.
So that humans are not having to process every single purchase order
and invoice
that goes to that purchase order.
In essence Robotic Process Automation is doing that for them
but in cases where there is a problem
or an exception
or the RPA technology senses
that there might be an anomaly,
it will kick that out to humans
so that the humans can focus on the exceptions rather
than transacting all the manual processes
that go along with that.
AI, Machine Learning and Intelligent Automation
In addition another type of Automation
that takes RPA technology one step further is going
to be technologies like
–AI,
–Machine Learning and
–Intelligent Automation.
Likewise these are technologies that not only automate business processes and
-do the business processes for you but
-they are actually looking to the future
and trying to predict
and learn from data.
In essence learn the patterns
and start to understand
what is happening within an operation
or a business process.
As a matter of fact I do not want to get too much in depth
and also do not want to distinguish between these three things-
–AI,
–Machine Learning and
–Intelligent Automation.
Still I will state that
AI is a form of Intelligent Automation
and
Machine Learning is a type of technology
that supports AI.
Machine Learning
In fact Machine Learning is at the core fundamental route of really looking at
data and learning what is happening with the data
and it is not really programmed necessarily
to do things in advance.
Thus the Machine Learning is just learning
what the patterns are
and starting to anticipate
what will happen with future data sets.
While Artificial Intelligence is really the way
that you end up using that
Machine Learning to apply algorithms
to predict future decision making.
Hence these are all the Automation technologies,
I have described them here.
Moreover out of all the different Automation technologies,
last one is the most advanced one
and this is where the world is headed.
At last most organizations have some level of Software Automation.
While many of them are now evolving
and are building on their capabilities to get to
Robotic Process Automation.
As well as few others are progressing towards adopting
AI,
Machine Learning
and Intelligent Automation.
In fact this is the full bucket of
Automation dimension
or layer of Automation
that is important for you to understand
as you look at
your digital strategy for the future.
Impacts to Humans
All in all, we get many questions for all the different types of Automation:
To begin with what does this mean to us as humans?
As well as what does this mean to potential displacement of jobs?
Will we have jobs in the future with all these types of Automation happening?
Hence to be fair, those are the few questions which have been lingering
in our society for decades.
Now that ever since the introduction of computers
in the early stages of Robotics,
people have wondered
whether new technology will displace humans to the point
that we are no better off
than we were before the technology.
Although this is a question for which
I do not have a very good answer.
However when I look at history and
also look at how technology has evolved
and how it has changed
and how it has affected people’s jobs,
then I can comment
that technology
and automation in general
is absolutely going to disrupt our lives.
Conclusion
Summing up, I can say
that it is going to change our lives.
To rephrase, what we find through history is that these types of technology
and automation are really creating opportunities for people
not to do more mundane tasks
but it is allowing them to do more strategic tasks
and to do things
that are more enjoyable
and require a more advanced skill set.
That is to say it offers a great opportunity for people to learn,
to develop
and to make life better.
The key here is how we help people through that transition.
While it may be true
this transition will not happen naturally.
So that the key to understanding automation is also understanding
what the impact is to your organization
and to humans
while understanding how you are going to help your humans
and your employees through that entire transformation.
On the whole I hope this article has provided you some understanding of
what Automation is
and how it will impact your organization.
To sum up you can read articles on my LinkedIn profile at
https://www.linkedin.com/in/prabhat-kumar-saxena-3b8ab79/recent-activity/posts/ .
To that end you can also read my blog post at
https://digitalprabhat.co.in/marketing-stuff-that-i-didnt-learn-in-fms/.
Digital Prabhat
Resource: Eric Kimberling-What is Automation? /
Third Stage Consulting Group
www.thirdstage-consulting.com
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