September 2, 2025 • 17 mins
The manufacturing landscape is evolving at breakneck speed, with companies constantly pursuing greater efficiency, precision, and safety. At the forefront of this evolution stands digital twin technology—not as a future possibility, but as today's essential tool for competitive advantage.
Digital twins represent far more than fancy animations or marketing gimmicks. They're sophisticated dynamic simulation environments purpose-built for testing, validation, training, and process optimization. When manufacturers leverage these virtual replicas, they transform not just their production floors but their entire decision-making process at every level of organization.
The strategic advantages are striking. Imagine compressing months of operational optimization into weeks, with entire facilities—including control code and HMI projects—simulated before a single piece of equipment is installed. Picture a bottling line moving 700 cans per minute, modeled virtually to expose bottlenecks before commissioning even begins. This accelerated path to peak performance dramatically shortens ROI timelines, transforming digital twins from engineering tools into financial accelerators.
The technology becomes even more powerful when paired with artificial intelligence. These AI-enhanced twins continuously learn, proposing new speed curves, settings, and maintenance intervals while providing actionable data. For highly regulated industries like pharmaceuticals, they offer virtual qualification and validation, achieving up to 90% operational accuracy before installing the first bolt. This serves as built-in insurance against costly mistakes that could jeopardize public safety or regulatory approval.
Perhaps most compelling is the impact on workforce development. Digital twins create safe, immersive environments where operators engage with actual plant screens without consequences, building confidence and troubleshooting skills. When extended to enterprise-level systems—connecting ERP, MES, and supply chain management—they provide a single-pane view of operations that optimizes everything from maintenance schedules to spare parts inventory.
Ready to see this technology in action? Visit one of our state-of-the-art labs across our service area, where our experts can demonstrate these applications specific to your needs. Connect with us at ecoonline.com or on LinkedIn to transform how your facility is designed, built, and operated.
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https://eecoonline.com/inspire/digital_twin_advanced
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Host: Chris Grainger
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Welcome to Eco Ask why a podcast that dives into
industrial manufacturing topicsand spotlights the heroes that
keep America running.
I'm your host, chris Granger,and on this podcast, we do not
cover the latest features andbenefits on products that come
to market.
Instead, we focus on advice andinsight from the top minds of
industry, because people andideas will be how America
(00:24):
remains number one inmanufacturing in the world.
Welcome to Eco Asks why.
I'm your host, chris Granger,and looking forward to spending
some time with you today andwe're going to continue
unpacking our whole look intoindustrial manufacturing, and
last month we talked about atechnology around digital twins
(00:47):
and we got a lot of greatfeedback from that and we
thought we'd take an opportunitythis month to dig further and
really dig into the advancedapplications of digital twins,
particularly in industrialmanufacturing, because we know
so many of you all out there arelistening.
You're in that space.
We're here to serve and werecognize that the landscape of
(01:08):
industrial manufacturing israpidly evolving I mean all the
time and there's a constantpursuit out there for efficiency
.
There's all these precisionmetrics and at the end of the
day, we have to keep our plantsas safe as possible right,
because we want everyone to gohome at the end of the day day.
We have to keep our plants assafe as possible, right?
Because we want everyone to gohome at the end of the day, and
(01:28):
the digital twin technology is agreat tool to enable progress
in all those areas.
So this is not just animation.
Again, a digital twin is asophisticated dynamic simulation
environment and these arepurpose-built situations for
testing, for validation, fortraining and really to optimize
(01:49):
what you're doing in yourprocess and with advanced
applications, that helps usredefine how manufacturers are
really working on theirtimelines, how they're
mitigating risk and how they'repreparing their workforce for
the future.
And I can tell you at ECO, wesee it firsthand.
(02:10):
We see it firsthand how thedigital twins can really
transform not only productionfloors but decision making.
That's the big difference thedecision making at so many
different levels of organization.
Difference, the decision makingat so many different levels of
organization.
So if you're out there andyou're an executive or you're an
engineer or you're an operator,we invite you.
(02:32):
We would love to have aconversation with you on your
specific application, and we'dlike to do it at one of our
state-of-the-art labs that wehave all throughout our
geography.
So we have many, many differentways we can serve.
We geography.
So we have many, many differentways we can serve, we can
connect, we can help, and thisis where you can see the digital
twin in action.
So, if this is interesting toyou, if it's of interest, if
(02:54):
you've never been to one of ourlabs, you'd like to just learn
what it's even about, I'dencourage you to check out the
show notes.
We're going to have links therefor you.
No matter what state you're in,we'll have ways for you to
connect with us directly, andthat'd be a wonderful way to get
hands-on and get practical andto really see how this digital
twin is not just some theory,but it's something that you can
(03:15):
actually put in place today.
Okay, so, as we start thinkingabout this further, one of the
most compelling advantages of adigital twin is the ability to
accelerate your operationaloptimization.
So traditionally refining, likespeed configurations and a
(03:35):
workflow of a complex line,could take a lot of months,
could take a lot of trial anderror.
Just put this over there typeof scenario to see how stuff
works and at the end of the day,you could directly delay
production and profitability.
That's just a potential endresult, but with a digital twin,
(03:56):
you can do this much faster.
We're talking weeks.
So, for example, an entirefacility could be simulated,
including the original controlcode and the HMI projects.
All this stuff could be loadedbefore any equipment's built or
you move anything around.
So if you're running a line,maybe you're moving cans and
you're moving 700 cans a minute.
(04:17):
That could be modeled virtuallyand that model potentially
could show you exposedbottlenecks and areas that you
need to consider for speedadjustment before you go into
any type of commissioning.
And at the end of the day, thatresults in a faster achievement
of peak performance and youdramatically shorten the path
(04:38):
for that return on investment,which really is what it's all
about.
So really, the strategic impactis clear, which really is what
it's all about right?
So really, the strategic impactis clear.
So when production hits designtargets faster, capital
investments starts paying backsooner, everybody wins right,
and for a leadership team, thismeans your digital twins are not
just engineering tools butthey're financial accelerators,
and when you start thinkingabout it in terms of dollars and
(05:00):
cents, it really is a bigdriver.
And the next one of thefrontiers that's worth
considering when you're lookingat digital twins is how can you
pair them with artificialintelligence.
These AI agents out there arereal and they have vast number
of data points that can help you, within a simulation, to
(05:21):
understand everything that maynot be rightly available to us,
from conveyor volume to machinespeeds.
They can recognize patterns andbuild some relationships that
can really help you.
Let's say, for instance, you'retrying to get down and
understand the project overallequipment effectiveness, right
(05:42):
OEE we hear that all the time.
The project overall equipmenteffectiveness OEE we hear that
all the time.
An experiment with theconfiguration changes, maybe too
hard for human observation, butif you integrate it with the AI
agents, this gives you thatopportunity to look at
continuous optimization.
So in a traditional settingline, optimization might happen
(06:08):
at the commissioning and then ithappens periodic right during
audits when you're checkingstuff.
But with AI Digital Twin,that's ongoing.
It's always looking for thenext area of improvement, if you
will.
It's learning right.
It's proposing new speed curves, it's proposing new settings,
it's proposing new maintenanceintervals, all while giving you
(06:30):
actionable data to work with.
So this is a transformative typeof way to think about this,
particularly from an engineeringteam.
Instead of just spendingcountless hours troubleshooting,
hey, start validating instead.
Start validating these insightsand then implementing
improvements, and this is howyou take it from not just a
(06:50):
plant that runs, but it moves itto a plant that evolves, and at
that point that's when it getsreally fun.
And at the end, when really westart thinking about digital
twins, they're reallyindispensable for testing and
validation prior to you puttingthat piece of equipment in the
plant, because when you put itin the plant you need to have
(07:10):
confidence, and these are notjust marketing or some type of
animation.
This is giving you real, highlyregulated, in-the-moment
information.
So if you're a pharmaceuticaland you need to know and that
capability is crucial and youneed to understand it this is
great technology to look at,because, if we're just kind of
pulling that pharmaceuticalthread a little bit further, you
(07:32):
can employ digital twins tosimulate process kits and test
how they integrate with multipleinterfaces.
So you're really, in a sense,virtually qualifying and
validating.
Think about that.
You get 80% or 90% of youroperational accuracy before you
install the first bolt or runthe first piece of conduit.
(07:53):
It's crazy, and if you do that,you can really reduce the
costly errors that we run into,such as conveyor length
adjustments and all this stuff.
This stuff can be identifiedmonths before anything actually
gets installed.
Ok, again, financial investmentand your overall reputation can
(08:13):
help big time here.
And we're not just talkingabout technical failures either.
We're talking about trust.
Think about an industry likepharmaceuticals.
We're talking about trust.
(08:34):
Think about an industry likepharmaceuticals, where one
mistake could put a lot ofpeople and public in jeopardy
for being safe or for missingthat regulatory approval.
This is built in insurance, ifyou will, against those missteps
.
Missteps happen, but if you cantake advance or even further
steps along the way to preventit, how would you do it Again?
This is another great way tojust come in and test the
(08:55):
technology at our labs.
Talk with our experts.
We have some people on theelectrical equipment company
team are just unbelievably smart, unbelievably smart.
And when you can sit down withthem in our labs and start
asking your questions andgetting into the data and really
getting into your use case andyour application, that's where
the rubber meets the road.
Ok, so highly encourage you cancheck out that.
(09:16):
Set up that time to visit a lab.
And when you're thinking aboutyour workforce we've already a
couple of podcasts ago we talkedabout the workforce development
.
But this is an underratedadvantage of digital twin,
because training is a big deal.
Think about how you onboardpeople typically and
(09:38):
particularly when you havecomplex machinery with risk.
You got potential damage to theequipment, you got production
delays, potentially you havesafety hazards.
Well, digital twins can bringthat down.
They can put them in a safe,immersible environment where
these operators, these newemployees, engage directly with
(09:59):
the screens, like they would beengaging with in the plant.
And the great part is they cando this without consequence.
They can hit a button and it'snot an uh-oh.
They can actually learn from it.
And this is far more than justa demonstration.
What you're doing is you'rebuilding confidence, you're
building understanding andyou're building assurance in
(10:22):
your team that you're putting onyour plant floor and operators
can virtually pause a machine,for instance, and then they can
see how everything else reacts,see how big a deal that would be
versus actually doing it in theplant, and they can see okay, I
understand how this machine,hundreds of feet apart, impacts
(10:43):
this one when this happens.
That prepares them, that getsthem equipped, that gets them
confident and that's also goingto help them be better
troubleshooters when thingsactually do happen.
So if you start fostering thesebest practices and utilizing
digital twins, you can reallystart closing your industrial,
your skills gap and your setting.
(11:04):
See how that works.
And right here you're helpingtechnicians and engineers adapt
and come together and reducedowntime across the board.
I'm telling you this DigitalTwins is really it's kind of
cool to think about your futureproofing your workforce that's
really what you're doing at theend of the day.
Your workforce, that's reallywhat you're doing at the end of
(11:27):
the day.
So much of the conversationaround digital twins focuses on
production lines, like thepotential applications that
really go so much further thanthe factory floor.
And when you start thinkingabout a digital twin, you can
really get to the enterpriselevel, start thinking about your
ERP, your MES system, supplychain management.
You can have all this connectedtogether with the single pane
(11:51):
view of operations.
So imagine you could not onlyknow how a line performs
mechanically, but how doessupply chain disruption would
ripple through the schedules.
How would it impact themaintenance intervals?
How would it impact deliverypromises?
See how this all works together, all ties together.
So it's not just operationally,but it's a bigger piece of the
puzzle.
(12:11):
So this enterprise integrationtransforms the digital twin into
really more of adecision-making engine.
It helps you make betterdecisions there, great, great
technology.
And then, when maintenance isneeded, so it's just predictive
maintenance.
You know that's happened.
If you mirror the performanceof machines in real time, that
(12:33):
digital twin is going to begiving you a constant stream of
data and health and updates, andso, instead of relying on
static maintenance scheduleslet's just be real, that stuff
has changed you can shift tocondition-based strategy.
So this really again, when youstart implementing this
technology, you're talking aboutreducing downtime, lower
maintenance costs, extending theequipment lifespan.
(12:54):
All these things matter.
Particularly if you startthinking about have you
considered this?
You can combine everythingyou're learning on this AI and
start even looking at your spare, your inventory, to make sure
you have the optimized spareparts on the shelf.
How about going to bed at nightknowing you have the right
components on hand when you needthem, without the excess of
(13:18):
carrying this overstock?
You're carrying what you needbecause you know the technology,
the systems is telling you this.
So, at the end of the day,again, seeing is believing.
I totally believe that it's notso much a problem of capability
as much as it is awareness forus at ECO, because we think it's
(13:41):
too far out there or my plant'snot ready for this or whatever
it may be.
And again, this is why we'rehere with our labs to show you
no, this is real world, this iswhat it means for you.
And again, if you check out thelinks, we're all about
(14:03):
connecting and bringing you into let you have that experience
firsthand.
Because this digital twin, thiswhole idea, this topic is not
just about a future tool anymore.
They are here today and theyare essential for driving
efficiency and resilience withinyour manufacturing facility.
So if you really lean in toenable rapid optimization and
(14:25):
you start thinking about this AItechnology and predictive
insights, you start validatingprocesses and you start really
considering how you can tie thisinto your worker development
program and training.
It's a game changer.
It's a game changer.
These digital twins will helpyou meet the demands of that
competitive landscape thatyou're fighting in each and
(14:48):
every day.
Again, at EECO, we're embracingit.
We're embracing thesetechnologies and we're finding
the people that understand themand we're aligning with the
vendors to bring the solutions.
And it's not just aboutadopting new technology.
It's for us, it's aboutpartnering with the right people
and the right tools totransform how your facility is
(15:10):
designed, built and operated.
So look, if you're out there andyou're listening and you're
interested and you want to knowmore.
Connect with us, because we'rehere, we're ready to serve.
We're in the driver's seatright now with so many wonderful
partners.
We're ready to connect you withthem and let you have a
conversation.
And if you'd rather take thenext step, we would be honored
(15:31):
to show you what's possibleinside, again, one of our
state-of-the-art labs.
It doesn't matter where you'relocated in our geography If
you're listening to EECO Askswhy and you are in our service
area.
We have labs in the differentareas, and these labs are also
set up with the technology thatwe can support in those areas as
(15:51):
well.
So you're coming in, you'reseeing what's available, how it
works, getting to get your handsdirty what could be more fun
than that?
And usually we'll buy you asandwich or something along the
way too.
How about that?
So, again, check it out.
Again, the links all the stuffis there in the show notes.
If you're watching this onYouTube, you should be able to
see the links underneath as well, and just connect with us
directly.
(16:11):
We would love to see how wecould serve and to learn more
about you and as well aseverything that you have going
your goals within yourindustrial manufacturing
facility.
So thank you for listening toECO Asks why.
If you would give us a ratingor review, that does help and we
really just encourage you.
If you don't want to do that,share this with others,
particularly those in theindustrial manufacturing space,
because the topics we talk aboutwe feel are very relevant.
(16:34):
They're very applicable.
They're happening now.
It's not technology that's 30years old.
We try to talk about thetechnology that matters the most
and just give you a littleglimpse and a little insight in
how you can apply it today.
So again, connect with us atecoonlinecom.
That's our website, so you canconnect with us there.
We're very active on LinkedInas well, so if you want to
(16:55):
follow Electrical EquipmentCompany on LinkedIn, that's a
great way to connect with us, toask questions and we can engage
from there.
All right.
Well, thank you for listening.
Thank you for spending yourtime.
It's been an honor.
I hope you have a great day andremember to just keep asking
why.
Thank you for listening to EECOAsks why this show is supported
(17:16):
ad-free by Electrical EquipmentCompany.
Eeco is redefining theexpectations of an electrical
distributor by placing peopleand ideas before products.
Please subscribe and share withyour colleagues and friends.
Also leave comments, feedbackand any new topics that you
would like to hear.
To learn more or to share yourinsights, visit EECOASYcom.
(17:38):
That's E-E-C-O-A-S-K-S-W-H-Ycom.
Welcome to Eco Ask why a podcast that dives into
industrial manufacturing topicsand spotlights the heroes that
keep America running.
I'm your host, chris Granger,and on this podcast, we do not
cover the latest features andbenefits on products that come
to market.
Instead, we focus on advice andinsight from the top minds of
industry, because people andideas will be how America
(00:24):
remains number one inmanufacturing in the world.
Welcome to Eco Asks why.
I'm your host, chris Granger,and looking forward to spending
some time with you today andwe're going to continue
unpacking our whole look intoindustrial manufacturing, and
last month we talked about atechnology around digital twins
(00:47):
and we got a lot of greatfeedback from that and we
thought we'd take an opportunitythis month to dig further and
really dig into the advancedapplications of digital twins,
particularly in industrialmanufacturing, because we know
so many of you all out there arelistening.
You're in that space.
We're here to serve and werecognize that the landscape of
(01:08):
industrial manufacturing israpidly evolving I mean all the
time and there's a constantpursuit out there for efficiency
.
There's all these precisionmetrics and at the end of the
day, we have to keep our plantsas safe as possible right,
because we want everyone to gohome at the end of the day day.
We have to keep our plants assafe as possible, right?
Because we want everyone to gohome at the end of the day, and
(01:28):
the digital twin technology is agreat tool to enable progress
in all those areas.
So this is not just animation.
Again, a digital twin is asophisticated dynamic simulation
environment and these arepurpose-built situations for
testing, for validation, fortraining and really to optimize
(01:49):
what you're doing in yourprocess and with advanced
applications, that helps usredefine how manufacturers are
really working on theirtimelines, how they're
mitigating risk and how they'repreparing their workforce for
the future.
And I can tell you at ECO, wesee it firsthand.
(02:10):
We see it firsthand how thedigital twins can really
transform not only productionfloors but decision making.
That's the big difference thedecision making at so many
different levels of organization.
Difference, the decision makingat so many different levels of
organization.
So if you're out there andyou're an executive or you're an
engineer or you're an operator,we invite you.
(02:32):
We would love to have aconversation with you on your
specific application, and we'dlike to do it at one of our
state-of-the-art labs that wehave all throughout our
geography.
So we have many, many differentways we can serve.
We geography.
So we have many, many differentways we can serve, we can
connect, we can help, and thisis where you can see the digital
twin in action.
So, if this is interesting toyou, if it's of interest, if
(02:54):
you've never been to one of ourlabs, you'd like to just learn
what it's even about, I'dencourage you to check out the
show notes.
We're going to have links therefor you.
No matter what state you're in,we'll have ways for you to
connect with us directly, andthat'd be a wonderful way to get
hands-on and get practical andto really see how this digital
twin is not just some theory,but it's something that you can
(03:15):
actually put in place today.
Okay, so, as we start thinkingabout this further, one of the
most compelling advantages of adigital twin is the ability to
accelerate your operationaloptimization.
So traditionally refining, likespeed configurations and a
(03:35):
workflow of a complex line,could take a lot of months,
could take a lot of trial anderror.
Just put this over there typeof scenario to see how stuff
works and at the end of the day,you could directly delay
production and profitability.
That's just a potential endresult, but with a digital twin,
(03:56):
you can do this much faster.
We're talking weeks.
So, for example, an entirefacility could be simulated,
including the original controlcode and the HMI projects.
All this stuff could be loadedbefore any equipment's built or
you move anything around.
So if you're running a line,maybe you're moving cans and
you're moving 700 cans a minute.
(04:17):
That could be modeled virtuallyand that model potentially
could show you exposedbottlenecks and areas that you
need to consider for speedadjustment before you go into
any type of commissioning.
And at the end of the day, thatresults in a faster achievement
of peak performance and youdramatically shorten the path
(04:38):
for that return on investment,which really is what it's all
about.
So really, the strategic impactis clear, which really is what
it's all about right?
So really, the strategic impactis clear.
So when production hits designtargets faster, capital
investments starts paying backsooner, everybody wins right,
and for a leadership team, thismeans your digital twins are not
just engineering tools butthey're financial accelerators,
and when you start thinkingabout it in terms of dollars and
(05:00):
cents, it really is a bigdriver.
And the next one of thefrontiers that's worth
considering when you're lookingat digital twins is how can you
pair them with artificialintelligence.
These AI agents out there arereal and they have vast number
of data points that can help you, within a simulation, to
(05:21):
understand everything that maynot be rightly available to us,
from conveyor volume to machinespeeds.
They can recognize patterns andbuild some relationships that
can really help you.
Let's say, for instance, you'retrying to get down and
understand the project overallequipment effectiveness, right
(05:42):
OEE we hear that all the time.
The project overall equipmenteffectiveness OEE we hear that
all the time.
An experiment with theconfiguration changes, maybe too
hard for human observation, butif you integrate it with the AI
agents, this gives you thatopportunity to look at
continuous optimization.
So in a traditional settingline, optimization might happen
(06:08):
at the commissioning and then ithappens periodic right during
audits when you're checkingstuff.
But with AI Digital Twin,that's ongoing.
It's always looking for thenext area of improvement, if you
will.
It's learning right.
It's proposing new speed curves, it's proposing new settings,
it's proposing new maintenanceintervals, all while giving you
(06:30):
actionable data to work with.
So this is a transformative typeof way to think about this,
particularly from an engineeringteam.
Instead of just spendingcountless hours troubleshooting,
hey, start validating instead.
Start validating these insightsand then implementing
improvements, and this is howyou take it from not just a
(06:50):
plant that runs, but it moves itto a plant that evolves, and at
that point that's when it getsreally fun.
And at the end, when really westart thinking about digital
twins, they're reallyindispensable for testing and
validation prior to you puttingthat piece of equipment in the
plant, because when you put itin the plant you need to have
(07:10):
confidence, and these are notjust marketing or some type of
animation.
This is giving you real, highlyregulated, in-the-moment
information.
So if you're a pharmaceuticaland you need to know and that
capability is crucial and youneed to understand it this is
great technology to look at,because, if we're just kind of
pulling that pharmaceuticalthread a little bit further, you
(07:32):
can employ digital twins tosimulate process kits and test
how they integrate with multipleinterfaces.
So you're really, in a sense,virtually qualifying and
validating.
Think about that.
You get 80% or 90% of youroperational accuracy before you
install the first bolt or runthe first piece of conduit.
(07:53):
It's crazy, and if you do that,you can really reduce the
costly errors that we run into,such as conveyor length
adjustments and all this stuff.
This stuff can be identifiedmonths before anything actually
gets installed.
Ok, again, financial investmentand your overall reputation can
(08:13):
help big time here.
And we're not just talkingabout technical failures either.
We're talking about trust.
Think about an industry likepharmaceuticals.
We're talking about trust.
(08:34):
Think about an industry likepharmaceuticals, where one
mistake could put a lot ofpeople and public in jeopardy
for being safe or for missingthat regulatory approval.
This is built in insurance, ifyou will, against those missteps
.
Missteps happen, but if you cantake advance or even further
steps along the way to preventit, how would you do it Again?
This is another great way tojust come in and test the
(08:55):
technology at our labs.
Talk with our experts.
We have some people on theelectrical equipment company
team are just unbelievably smart, unbelievably smart.
And when you can sit down withthem in our labs and start
asking your questions andgetting into the data and really
getting into your use case andyour application, that's where
the rubber meets the road.
Ok, so highly encourage you cancheck out that.
(09:16):
Set up that time to visit a lab.
And when you're thinking aboutyour workforce we've already a
couple of podcasts ago we talkedabout the workforce development
.
But this is an underratedadvantage of digital twin,
because training is a big deal.
Think about how you onboardpeople typically and
(09:38):
particularly when you havecomplex machinery with risk.
You got potential damage to theequipment, you got production
delays, potentially you havesafety hazards.
Well, digital twins can bringthat down.
They can put them in a safe,immersible environment where
these operators, these newemployees, engage directly with
(09:59):
the screens, like they would beengaging with in the plant.
And the great part is they cando this without consequence.
They can hit a button and it'snot an uh-oh.
They can actually learn from it.
And this is far more than justa demonstration.
What you're doing is you'rebuilding confidence, you're
building understanding andyou're building assurance in
(10:22):
your team that you're putting onyour plant floor and operators
can virtually pause a machine,for instance, and then they can
see how everything else reacts,see how big a deal that would be
versus actually doing it in theplant, and they can see okay, I
understand how this machine,hundreds of feet apart, impacts
(10:43):
this one when this happens.
That prepares them, that getsthem equipped, that gets them
confident and that's also goingto help them be better
troubleshooters when thingsactually do happen.
So if you start fostering thesebest practices and utilizing
digital twins, you can reallystart closing your industrial,
your skills gap and your setting.
(11:04):
See how that works.
And right here you're helpingtechnicians and engineers adapt
and come together and reducedowntime across the board.
I'm telling you this DigitalTwins is really it's kind of
cool to think about your futureproofing your workforce that's
really what you're doing at theend of the day.
Your workforce, that's reallywhat you're doing at the end of
(11:27):
the day.
So much of the conversationaround digital twins focuses on
production lines, like thepotential applications that
really go so much further thanthe factory floor.
And when you start thinkingabout a digital twin, you can
really get to the enterpriselevel, start thinking about your
ERP, your MES system, supplychain management.
You can have all this connectedtogether with the single pane
(11:51):
view of operations.
So imagine you could not onlyknow how a line performs
mechanically, but how doessupply chain disruption would
ripple through the schedules.
How would it impact themaintenance intervals?
How would it impact deliverypromises?
See how this all works together, all ties together.
So it's not just operationally,but it's a bigger piece of the
puzzle.
(12:11):
So this enterprise integrationtransforms the digital twin into
really more of adecision-making engine.
It helps you make betterdecisions there, great, great
technology.
And then, when maintenance isneeded, so it's just predictive
maintenance.
You know that's happened.
If you mirror the performanceof machines in real time, that
(12:33):
digital twin is going to begiving you a constant stream of
data and health and updates, andso, instead of relying on
static maintenance scheduleslet's just be real, that stuff
has changed you can shift tocondition-based strategy.
So this really again, when youstart implementing this
technology, you're talking aboutreducing downtime, lower
maintenance costs, extending theequipment lifespan.
(12:54):
All these things matter.
Particularly if you startthinking about have you
considered this?
You can combine everythingyou're learning on this AI and
start even looking at your spare, your inventory, to make sure
you have the optimized spareparts on the shelf.
How about going to bed at nightknowing you have the right
components on hand when you needthem, without the excess of
(13:18):
carrying this overstock?
You're carrying what you needbecause you know the technology,
the systems is telling you this.
So, at the end of the day,again, seeing is believing.
I totally believe that it's notso much a problem of capability
as much as it is awareness forus at ECO, because we think it's
(13:41):
too far out there or my plant'snot ready for this or whatever
it may be.
And again, this is why we'rehere with our labs to show you
no, this is real world, this iswhat it means for you.
And again, if you check out thelinks, we're all about
(14:03):
connecting and bringing you into let you have that experience
firsthand.
Because this digital twin, thiswhole idea, this topic is not
just about a future tool anymore.
They are here today and theyare essential for driving
efficiency and resilience withinyour manufacturing facility.
So if you really lean in toenable rapid optimization and
(14:25):
you start thinking about this AItechnology and predictive
insights, you start validatingprocesses and you start really
considering how you can tie thisinto your worker development
program and training.
It's a game changer.
It's a game changer.
These digital twins will helpyou meet the demands of that
competitive landscape thatyou're fighting in each and
(14:48):
every day.
Again, at EECO, we're embracingit.
We're embracing thesetechnologies and we're finding
the people that understand themand we're aligning with the
vendors to bring the solutions.
And it's not just aboutadopting new technology.
It's for us, it's aboutpartnering with the right people
and the right tools totransform how your facility is
(15:10):
designed, built and operated.
So look, if you're out there andyou're listening and you're
interested and you want to knowmore.
Connect with us, because we'rehere, we're ready to serve.
We're in the driver's seatright now with so many wonderful
partners.
We're ready to connect you withthem and let you have a
conversation.
And if you'd rather take thenext step, we would be honored
(15:31):
to show you what's possibleinside, again, one of our
state-of-the-art labs.
It doesn't matter where you'relocated in our geography If
you're listening to EECO Askswhy and you are in our service
area.
We have labs in the differentareas, and these labs are also
set up with the technology thatwe can support in those areas as
(15:51):
well.
So you're coming in, you'reseeing what's available, how it
works, getting to get your handsdirty what could be more fun
than that?
And usually we'll buy you asandwich or something along the
way too.
How about that?
So, again, check it out.
Again, the links all the stuffis there in the show notes.
If you're watching this onYouTube, you should be able to
see the links underneath as well, and just connect with us
directly.
(16:11):
We would love to see how wecould serve and to learn more
about you and as well aseverything that you have going
your goals within yourindustrial manufacturing
facility.
So thank you for listening toECO Asks why.
If you would give us a ratingor review, that does help and we
really just encourage you.
If you don't want to do that,share this with others,
particularly those in theindustrial manufacturing space,
because the topics we talk aboutwe feel are very relevant.
(16:34):
They're very applicable.
They're happening now.
It's not technology that's 30years old.
We try to talk about thetechnology that matters the most
and just give you a littleglimpse and a little insight in
how you can apply it today.
So again, connect with us atecoonlinecom.
That's our website, so you canconnect with us there.
We're very active on LinkedInas well, so if you want to
(16:55):
follow Electrical EquipmentCompany on LinkedIn, that's a
great way to connect with us, toask questions and we can engage
from there.
All right.
Well, thank you for listening.
Thank you for spending yourtime.
It's been an honor.
I hope you have a great day andremember to just keep asking
why.
Thank you for listening to EECOAsks why this show is supported
(17:16):
ad-free by Electrical EquipmentCompany.
Eeco is redefining theexpectations of an electrical
distributor by placing peopleand ideas before products.
Please subscribe and share withyour colleagues and friends.
Also leave comments, feedbackand any new topics that you
would like to hear.
To learn more or to share yourinsights, visit EECOASYcom.
(17:38):
That's E-E-C-O-A-S-K-S-W-H-Ycom.
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