- Reuse and instrument released designs
- Embed sensors into new designs
- Connect CAD models via digital twins to real-world data
- Use real-world sensor data in CAD design
- Integration with ThingWorx, the world’s leading industrial IoT platform
- Prepare for Product as a Service
Digital transformation has become a buzzword in recent years, and for good reason. Companies that embrace digital technologies are more likely to stay ahead of the curve, differentiate themselves in the marketplace, and meet the evolving needs of their customers.
The benefits of digital transformation can be far-reaching, from improved customer experience to cost savings and increased efficiency.
In this blog, we will explore the various benefits of digital transformation, and why it is essential for companies to embrace this trend in order to remain competitive in the digital age.
What is Digital Transformation?
Digital transformation is a term used to describe the process of transforming an organization’s business model and operations through the use of digital technologies. It’s important because it can help you stay ahead of your competition, improve customer experience and attract new customers.
The benefits of digital transformation include:
- Improved customer experience: Digital transformation can help you better understand and meet the needs of your customers. With the use of data analytics and other digital tools, you can gather insights into customer behavior and preferences, and tailor your products and services accordingly.
- Increased efficiency and productivity: Digital transformation can automate many processes, reducing manual labor and freeing up staff to focus on higher-value tasks. This can lead to increased efficiency and productivity across your organization.
- Competitive advantage: By embracing digital technologies, you can stay ahead of your competitors and differentiate yourself in the marketplace. This can help you attract new customers and retain existing ones.
- Cost savings: Digital transformation can help you reduce costs by streamlining processes and eliminating unnecessary steps. This can lead to significant savings over time.
- Innovation: Digital transformation can open up new opportunities for innovation and growth. By embracing new technologies and ways of working, you can develop new products and services that better meet the needs of your customers.
See how JR Automation saved seven figures with embarking on their digital transformation journey:
Creating a Digital Transformation Roadmap
The first step to creating a digital transformation roadmap is to identify the scope of your transformation. What are you trying to achieve? What are the goals and objectives of your business? How will you measure success?
Once this has been determined, it’s time to set up a timeline for achieving those goals.
Once these steps have been completed, it’s time for action! You should now have a clear idea of what needs changing within your organization and how long it will take before those changes become visible.
Building a Digital Transformation Team
When you’re building your digital transformation team, it’s important to define roles and responsibilities. You’ll want to make sure that everyone understands their role in the process and what they are expected to do. For example, if someone is responsible for monitoring the performance of shop floor machines, they should know what the ideal OEE is of each machine, how they are going to collect that data, and how they are going to distribute it to enterprise decision makers.
It’s also important that you select team members who have complementary skillsets and experience levels. If one person has extensive knowledge of augmented reality while another knows nothing about it at all, this could lead to problems down the line when it comes time for them both to collaborate on projects together – and no one wants that!
Finally, creating a culture where collaboration happens naturally between team members will help ensure successful outcomes throughout your digital transformation project(s).
Adopting the Right Technology
The first step in digital transformation is choosing the right technology. You’ll want to consider:
Software: What are your current needs and how will they change over time? Will you need additional features or functionality?
Hardware: Do you have enough computing power and storage space for all of your data, or does it need to be scaled up or down depending on usage patterns at different times of day/year/etc.? Do you have sensors to track data that you need for production insight?
Tools: What tools do developers use to build applications on top of this platform (e.g., Creo vs. Solidworks)? How easy is it for them to integrate their code with existing systems like databases and messaging queues? Are there any security issues with using these tools – and if so, how can they be mitigated by using another tool instead (e.g., switching from MySQL database server software to Microsoft Azure).
Developing a Digital Transformation Strategy
The first step to developing a digital transformation strategy is to define the scope of the project. What are you trying to accomplish? What are your objectives, and how will you measure success?
These questions can help guide your organization through its transformation journey by setting realistic goals for both short-term wins and long-term gains.
Once you’ve defined what needs changing, it’s time for step two: defining how those changes will happen. This involves creating an action plan that includes timelines for each phase of implementation as well as resources required for each stage (e.g., time from IT staff).
Some companies may choose to tackle multiple projects simultaneously; others might choose only one area at a time depending on their resources available in terms of money/manpower/etcetera).
EAC Assessments help companies answer all those questions and how to get where they want to be.
Implementing the Digital Transformation Plan
Develop a timeline. The first step in implementing your digital transformation plan is to develop a timeline with milestones that will help you track progress.
Set goals and objectives for each milestone. Once you’ve established your milestones, it’s time to set goals and objectives for each one of them so that everyone involved knows exactly what needs to be done at any given time during the project.
Track progress regularly by reviewing dashboards or reports generated from data collected during testing phases of development projects (if applicable). It’s important not only for managers but also employees on lower levels within organizations who may not have access
Monitoring and Evaluating Performance
Monitoring and measuring performance is an important part of the digital transformation process. It allows you to identify areas where you are successful, and areas that need improvement.
Monitoring can be done using a variety of tools, including:
Data Analytics Dashboards (e.g., Thingworx Analytics)
Real-time Data Share (e.g., Windchill, EAC Productivity Apps)
Digital Twin Performance (e.g., Augmented Reality)
Adapting and Adjusting the Plan
As you progress through your digital transformation, there will be changes in the market that you need to respond to.
If a competitor introduces a new product or service, or if something happens in the industry at large, it may change how you approach your own strategy.
You might also find that your goals and objectives have changed since they were first set out; perhaps there’s been an increase in customer demand for something specific that wasn’t previously considered important enough for inclusion on the list.
The best way to handle these situations is by reviewing them regularly with other members of your team – and making sure everyone has input into decisions about how best to adjust course as needed.
Communicating the Benefits of Digital Transformation
In order to communicate the benefits of digital transformation, it’s important to understand who your stakeholders are and what they want.
If you’re working in an organization with a large number of stakeholders (such as a government agency), then there may be multiple groups that need convincing. For example:
The board wants to see results from their investment in IT infrastructure. They’ll likely be interested in metrics such as ROI and cost savings.
Executives want quick wins that will help them achieve their goals, but they also need proof that this new approach will work before they can commit time and resources to implementing it throughout the organization.
Employees want something tangible they can hold onto when explaining why this change is important for them personally (and why it matters).
Conclusion
Digital transformation is a powerful tool that can help you achieve your business goals. It’s important to remember that digital transformation is not just about implementing new technologies, but also about changing how you work and think as an organization.
Digital transformation requires commitment from everyone involved in the process – from the C-suite down through every level of your organization.
To be successful, it must be an ongoing effort rather than a one-time project or initiative. You will need to continuously innovate and improve what you’re doing if you want to stay ahead of competitors who are also pursuing digital transformation strategies.
In conclusion, digital transformation is becoming increasingly essential for companies to stay competitive and meet the needs of their customers in the digital age. However, the process of digital transformation can be complex and challenging, which is why EAC assessments can be extremely helpful.
By conducting an assessment of your organization’s current digital capabilities and identifying areas for improvement, you can develop a roadmap for digital transformation that is tailored to your specific needs and goals.
EAC assessments can help you identify gaps in your digital capabilities, streamline your processes, and develop new products and services that better meet the needs of your customers. By embracing digital transformation and leveraging the expertise of EAC assessors, you can position your company for success in the digital age.
The Factory of the Future is a connected world of everything.
We will explore the benefits of IoT in manufacturing, including asset monitoring and utilization, quality control, predictive analytics, automation, safety and compliance, OEE visibility and productivity, and more.
With IoT solutions, companies can achieve their Industry 4.0 goals and increase their bottom line.
What is the Internet of Things (IoT)?
The Internet of Things (IoT) is the network of physical objects, people and other assets that are connected to the internet. IoT allows you to collect data from devices and analyze it in real time.
The goal is to make processes more efficient by optimizing performance and reducing costs.
IoT can be used to monitor machines in factories, track inventory at warehouses or even monitor traffic conditions on roads. It’s also used for home automation tasks like turning off lights when you leave a room or adjusting your thermostat based on your location inside (or outside) the house.
IoT Ecosystems
An IoT ecosystem refers to the network of devices, sensors, software, and services that are interconnected and work together to collect, analyze, and act on data.
They are often utilized to gather data on connected assets, and tools in order to gain real-time insights into their condition for predictive maintenance purposes.
The goal of predictive maintenance is to detect and address problems before they cause equipment failure, downtime, or safety issues.
By predicting maintenance needs in advance, organizations can schedule maintenance during planned downtime, minimize the impact of maintenance on operations, and extend the lifespan of equipment.
Connected Products
A smart, connected product (also known as a smart object or SCoT) is a product, asset, or other object embedded with processors, sensors, software, and connectivity that allows data to be exchanged between the product and its environment, manufacturer, operator/user, and other products and systems[1].
Smart, connected products enable the comprehensive monitoring of a product’s condition, operation, and external environment through sensors and external data sources[2].
This technology stack provides a gateway for data exchange between the product and the user and integrates with other systems to enable a new level of customer experience[3].
Connected Factory
Similar to connected products, a smart, connected factory is a digitized manufacturing facility that uses connected devices, machinery, and production systems to continuously collect and share data.
This data is then used to inform and improve processes and proactively address any issues that may arise.
It is an interconnected network of machines, communication mechanisms, and computing power, which uses advanced technologies to analyze data, drive automated processes and learn as it goes. It uses the sensors and software of the connected products to bring together the factory floor.
A connected factory is implemented to track the overall equipment efficiency or effectiveness (OEE) of the factory.
A smart connected factory is the telltale sign of a manufacturing floor that is functioning at its most optimal ability.
Having access to data insights regarding production health helps companies optimize earnings and minimize production downtime.
Augmented Reality
Integrating augmented reality (AR) with IoT involves using sensors and other IoT devices to collect data from the physical world, which is then used to augment the user’s experience in the digital world.
For example, AR can be used to display real-time data from IoT sensors, such as temperature or humidity, on a user’s mobile device. When a cell phone or tablet uses Augmented Reality (AR) to display data, it overlays virtual information on top of the real-world view seen through the device’s camera.
This can be particularly useful in industrial settings, where workers can use AR to monitor the performance of machines, detect any issues immediately, and take corrective action. This kind of data can be turned into a Digital Twin.
Digital Twin
With a Digital Twin, you create an exact replica of a working product, process, or service as a simulated model in a virtual space that performs under real-world conditions.
A Digital Twin in manufacturing helps companies find performance issues, schedule predictive maintenance, reduce downtime, and minimize warranty expenses.
This allows anyone to take a digital version of your factory with you anywhere in the world and know the exact, real-time data of how it is functioning. This is extremely helpful for decision-makers who often travel and need to know how their factories are doing.
Additionally, a digital twin of your factory helps maintenance teams find precisely where an issue may have occurred by giving them visual prompts of where the problem is originating from.
The Benefits of IoT in Manufacturing
IoT has a plethora of benefits for manufacturers that overall saves companies time and money, and solves frustrations with outdated processes and siloed data.
Bellow are different ways the IoT solutions could benefit your production process:
Asset Monitoring & Utilization (AMU) & Real-Time Production Performance Monitoring
Gain real-time insights from connected assets and legacy systems such as your PLM and ERP systems to align your IT and OT systems
Make more informed decisions faster
Increasing flexibility and agility
Monitoring the status of inventory in real-time
Quality Control
Monitoring Distributed and Outsourced Processes
Spare parts management
IoT sensors allow organizations to gauge the specific use and deploy practices for more effective usage of resources.
Machine Learning & Predictive Analytics
By integrating machine-learning capabilities there is a whole new level of predictive intelligence brought to the factory floor – identified problems and resolved issues with minimal impact on operational performance. Other benefits include:
Detect problems before they occur
This helps to maximize factory production utilize data analytics to perform predictive maintenance
Optimizing Maintenance Schedules
Automation & Connected Work Cells (CWC)
In manufacturing, many processes are streamlined with IoT technology. For example, one IoT strategy is to use Automation. With IoT, using sensors allows you to automate certain tasks such as temperature monitoring or product tracking.
This means less time spent on manual labor and paper-based processes while increasing productivity simultaneously!
Safety & Compliance
Making sure that machines are running at a safe capacity and within the compliance standards creates a well maintained work area that brings employee satisfaction and confidence in a safe workspace.
All these things can be tracked through IoT technology, along with others:
Increasing energy efficiency of machines
Reduce human errors
Ensuring Products Comply with Set Standards
Increased employee and customer satisfaction
OEE Visibility & Productivity
A factory enhanced by IoT solutions offer complete visibility into all of your factory operations. You can see all of your work orders, lines, and all critical KPIs through dashboards that pull together
IoT sensors allow organizations to gauge the specific use and deploy practices for more effective usage of resources.
Cost reduction
Increase bottom line
Decreased Machine Downtime
Optimizing Factory Production
Reduced lead time
Improved efficiency
Improvement of Operational Performance
These are just some of the many ways companies can reach their goals with Industry 4.0. With out-of-the-box solutions or even custom IoT apps, the possibilities are endless.
Implementing IoT
The first step in implementing IoT in manufacturing is to identify your goals. Are you looking to improve efficiency, reduce waste or increase profitability?
Do you want to improve customer satisfaction by delivering products on time, or do you want to create new revenue streams with data collected from connected devices?
Once you’ve determined what kind of impact IoT can have on your business, it’s time to evaluate the current technology that’s not only available but that easily integrates with your current systems and shop floor.
Finally, develop an action plan for implementing these strategies broken down into digestible phases. It’s critical to understand what solutions fit best and most align with your unique business and prioritized initiatives.
Common Challenges
We hear from companies all the time regarding what challenges they feel stops them from implementing IoT in manufacturing.
The first is cost. However, with any good investment, the benefits of using IoT solutions offset the cost. While IoT ROI doesn’t happen overnight, the full impact IoT has on manufacturing organizations is tenfold.
NORMA Group met with EAC experts to understand what sort of impact an IoT initiative would have on their business growth and determined the challenges were well worth the wait – something we find other companies can relate to. Another early adopter, JR Automation was able to save $1.4 million by investing in IoT.
Security
The second common challenge that comes with implementing IoT is security. This includes both physical and data security issues that need to be evaluated and addressed before implementing any type of data management change.
Finding a solution with integrated automated tools and detailed monitoring is key to preventing attacks. Check out this article that talks further about data security and how PTC’s Kepware supports cybersecurity.
Data Management
Another challenge we see is considering how well your organization will be able to manage the new information coming from all over your facilities. It’s key you create a plan to integrate the new data flow into your existing systems.
With user-friendly IoT-connected solutions like PTC Thingworx, data is captured, consolidated into a dashboard, and presented in a consumable visual format for real-time insights.
Hardware
Another consideration is requirements: What sort of hardware do you have to support that software change? Replacing or updating existing systems and hardware to increase efficiency may be necessary to keep up with the fast pace environment of shop floors.
There is no doubt that these are important things to consider when making enterprise-wide changes. While implementing IoT can feel difficult and intimidating, it does not have to be.
EAC has a number of business assessments that can help you evaluate your current state and create a highly strategic roadmap to successfully scale your digital transformation initiatives.
Ultimately, Digital Transformation is a game changer for manufacturing companies who are unsatisfied with the “status quo” – and IoT will open up major opportunities for long-term success and sustainable growth that would not have been possible without making changes.
Connected Future
Empower your organization with enhanced connectivity to your products, systems, and customers.
IoT can provide significant advantages for manufacturers across the enterprise, but it is important to properly evaluate, plan and implement the right technology and the right solution at the right time in order to maximize the potential benefits.
Our IoT consulting and connect services provide comprehensive support from extracting valuable insights, and developing strategic plans to executing and implementing efficient IoT solutions that accelerate your digital transformation.
Chat with one of our experts on how we can help you identify the best IoT solution for your needs and how we can help your company implement it the right way.
Remember in 1977 when Ken Olson, the founder of Digital Equipment Corporation said, “there is no reason anyone would want a computer in their home”? Boy was he wrong. Not even a leader in the technology industry could predict how quickly our usage of technology would change.
If you don’t make an effort to keep up with the fast pace of technology; you will fall behind. It’s critical that you proactively embrace and move towards digital processes to ensure that future products better meet the needs of customers.
What better way to keep up with the future than making highly accurate product performance and behavior predictions with the right design tools?
PTC developed a Creo extension called Creo Product Insight. It lets designers and engineers incorporate the latest sensor technology into their designs.
What is Creo Product Insight?
Creo Product Insight captures and analyzes product data from live sensors on prototypes and products directly within your CAD model. This tool produces a digital twin, an exact replica of a physical prototype in a virtual CAD model, to mirror the performance of a product under real-world conditions.
How does it work? You add digital sensors from a library directly into your CAD models in Creo. Then you connect them to the data streams from physical products. Whether you’re looking to get more value out of your prototypes, design smart connected products, or use data to improve the quality of existing products, the Creo Product Insight Extension allows you to design smarter.
So how are organizations keeping up with the digital transformation with the Creo Product Insight Extension?
Improving New Product Design
When you’re improving new product design you’re most likely basing your design decision on assumptions and historical data. This puts you in a difficult spot because you may not have up-to-date-information which may cause inaccurate solutions and error-prone results.
Creo Product Insight allows you to validate design assumptions using real-world data from the field directly in Creo’s simulation and analysis tools. Using this extension also decreases your reliance on building prototypes because it gives you live product performance and behavior.
Improving Existing and Next-Generation Product Designs
The absence of real-world product data stunts the optimization of current and future products. If you had access to real-world data, you would be able to validate design criteria against customer usage data and mitigate risk of product failure, warranty, repair, and liability.
With Creo Product Insight and ThingWorx you can analyze field data and provide meaningful information back to engineering. Using real-world data allows you to identify opportunities for new products in the market and understand over and under engineered designs to reduce product life cycle costs.
Improving Smart Connected Product Design
The lack of specialized tools that support smart connected products puts you at risk of falling behind the digital transformation process. When sensors and a strategy to capture real-live data are disconnected from your design process there is no way to deliver the value that your customers deserve out of their products.
Creo Product Insight gives you the ability to optimize sensor replacements, choose a sensor type, and validate data capture requirement during the design process. The extension creates an integrated design process that delivers optimal value from smart connected products.
Creo Product Insight Capabilities and Benefits
Capabilities:
Benefits
- Eliminate manual workflows to use real-world sensor data in design
- Optimize products to real-world conditions
- Ensure that future products better meet the needs of customers
- Creo analyses outside of the design office
- Decrease reliance on physical prototyping
Creo Product Insight Licensing and Creo Version Capabilities
The Creo Product Insight is an add-on extension that is available for subscription licensing only. You do not need ThingWorx to use this extension – although using ThingWorx with it will fully optimize your results.
“Physical” Sensors – Creo 4 (M020):
- Easily define and place ‘measure’ sensors by adding physical sensors to Creo Assemblies
- New Instrumented sub-type to protect reused/released design data
- Associated parameter and input definitions and associated calculations
- Define (physical) calculating sensors (M020) to report analysis results (center of gravity, mass, area, etc.)
UX Sensors – Creo 4 (M030 & M040):
- Connection to ThingWorx to support reporting analyses results (M040)
- Run Creo analysis using Behavioral Modeling, Simulation, and Mechanism Dynamics (M040)
- Read real-world data from ThingWorx (or CSV data file) and use input variables to run analyses and report results back to data tables
“Virtual” Sensors – Creo 4 (M050):
- Specialized Virtual sensor handling – (excluded from BOM, meshing, and graphics)
- Directly connect and read sensor data from file or ThingWorx
- Use real-world sensor data to drive simulations
- Creo as a Service from ThingWorx (M050)
- Save/Export analysis results together with input values back to data file
Get live data from CAD models
Download the Creo Product Insight datasheet or watch this webinar replay to learn more and see if your organization could benefit from collecting live data directly within your CAD models. I’m willing to bet it can.
There’s a lot of buzz around the Internet of Things (IoT) these days and the phrases getting manufactured and tossed around are confusing a lot of my friends.
I’m going to take a stab at clearing up some of the confusion and providing some context for the terms that may be showing up in your social feeds.
First, though, a couple of observations on how we got here.
Some of what is now known as the IoT isn’t new; it’s the Machine to Machine (MTM) and publish/subscribe connectivity protocols (MQTT) that have been around helping factory equipment talk on internal networks since the 1990s.
Other parts have been around for quite a while too; the concept of Application Programming Interfaces (API’s), Representational State Transfer (REST) calls and even the basics of Universal Resource Locators (URL) on the internet.
Add in what I call ‘Pervasive Connectivity,’ which is the idea that wired, wireless and mobile networks are almost everywhere and most people have devices to access these networks in their pockets.
It’s no wonder manufacturing and product development professionals are jumping to take advantage of what appears to be the 4th industrial revolution.
While a lot of the underpinnings are not new, the availability and acceleration of their alignment makes
for something new– and awesome!
Given that backdrop, at EAC we look at the IoT through 3 basic lenses; Smart Connected Products, Operations and Enterprises to see tangible benefits that roll up to trillions of dollars of associated annual impact.
All 3 approaches entail devices which contain a sensor network or data and connectivity of some form with the intent of pushing data to a platform for ingestion.
The platform (at least a good one) makes it easy to ingest from disparate systems and transform it into informational dashboards that help regular people, in regular roles take action and do their jobs more efficiently. It may even help companies create new jobs or whole new sources of revenue.
There’s also a layer of analytics that could happen at either the device (Thing) level or at the platform and cloud level– sometimes both. This is where we’re all headed, but it really boils down to the business case that makes sense of the strategy.
Tackling this new landscape requires not only ‘Things’ and ‘Platforms,’ but the right strategy.
Without understanding a business case, companies are likely to embark on ‘science projects’ that may, or may not result in effective change and growth.
So back to the point, here’s the short version of how I’d define these three approaches to the IoT:
1. Smart Connected Product (SCP)- one product in many places.
This is where a single product, with sensors and connectivity, would be produced by the 1000’s and end up in lots of places in the world.
As it functions, it pushes data to a platform.
The data is turned into information for the producers, service agents, owners, consumers, etc.
This way, the products functionality, performance, location or even the features being used can be tracked and reported to make the next version better, keep the current version going, or ensure timely refills or replacements, just to name a few uses.
2. Smart Connected Operation (SCO)– many assets, typically machines, in one place.
This is the factory setting where millions of dollars’ worth of equipment are already on the books of a
company and they’re trying to get as much from their investments as possible.
Connecting the control systems that are already inside of these machines to a platform grants operations access to the data that is already available, but previously unseen.
It is enlightening and even accelerating to provide direct access to the right information to the right role at the right time.
This can provide real-time and actionable information ranging from a holistic plant view down
to an explicit operation on a specific machine.
3. Smart Connected Enterprise (SCE) – real-time access and visibility to existing silos of data and information.
Think ‘Wrap and Extend’ rather than ‘Rip and Replace.’
This is truly the place we’re all imagining.
It’s the ability to keep in place many of the systems that have developed and grown up in our organizations and weave them together to quickly build role-specific dashboards and mashups that look into separate, and currently existing silos of data and information.
It also provides the ability to weave in new streams of data from newly connected products and even subscribe to existing data readily available in the public domain; weather, traffic, economic forces, etc.
Now integrate that with the ability to quickly and simply provide customers, partners, vendor and service providers with the information they’ve always wanted in relation to your product.. then you’ve really got something.
A smart connected enterprise weaves together the entire enterprise with ways to access the right information in the right place at the right time.
Think mobile mashups, autonomous integrated systems, Augmented Reality, and the list of awesomeness goes on.
This may have gone a little deeper than originally planned, I’ll blame my excitement behind the buzz.
There is truly a massive tangible benefit to getting started down this road.
Note that I said ‘started.’ This isn’t an all-or-nothing proposition. The 3 lenses of the IoT should be implemented strategically over time.
And if you’re speculative or apprehensive, I get it. But I’d challenge you to stuff the skepticism and get started – your competitors already have.
Give us a call and we’ll get you going quicker than you could imagine.
If you’re already on the path and have hit a few speed bumps, we can help.
We’re in the business of transforming the way companies design, manufacture, connect to, and service their products and enterprise, and we don’t let the speed bumps slow us down.
Smart connected operations are transforming companies and changing the way we do business.
Imagine if your company was able to take advantage of data that revealed existing and future problems, and allowed your team to make drastic improvements by completing predictive maintenance and service.
Business decisions can no longer be reactive. You need to be proactive — Here’s how smart connected operations could ‘revolutionize’ the way you do business.
Smart connected operations help businesses make faster decisions
What helps a company make fast, highly informed decisions? Data.
Smart connected operations allow information to be collected from multiple sources, assets, facilities, and even vendors. This connectivity allows data to be collected and analyzed to inform decision-making and enable teams to make faster decisions.
Smart connected operations help businesses increase operational performance
Smart connected operations can help your business monitor and track asset viability, ultimately allowing your company to reduce downtime, improve design, and improve utilization.
Data from connected assets, in collaboration with other enterprise systems, can provide not previously possible visibility and automation across organizations.
For example, product data flowing through a CRM system can also be sent to billing or into a supply chain management system— helping to eliminate error-prone manual steps and providing new sales opportunities for things such as consumable replenishment or warranty renewals. (PTC)
Smart connected operations help businesses decrease lead time and increase product quality
The insight smart connected operations provide will help you improve and perfect your production processes.
By integrating smart technologies and processes, your organization can lower development costs, time-to-market, and improve your overall product quality.
Smart connected operations help businesses improve manufacturing responsiveness
A sensorized manufacturing floor let’s you monitor performance, in real-time, and provide valuable information to field service technicians and manufacturing floor managers.
Service responsiveness will be accelerated with remote monitoring, access, and complete management of your disparate systems through enabling smart connected operations within manufacturing.
Smart connected operations help businesses improve supply chain coordination
The new capabilities of smart, connected operations will alter every activity in the supply chain.
Your operational efficiency will increase exponentially if your organization reaps the benefits of integrating with other data, such as inventory locations, traffic patterns, commodity prices, and historical data repositories.
Smart connected operations help businesses reduce manufacturing IT costs
Smart connected operations use digital interfaces that make it easier and less expensive to track the production process. These interfaces are less costly to apply and easier to modify than physical system controls. By integrating smart connected operations, your company will increase operation mobility, which in turn can reduce your manufacturing IT costs.
The sensors in smart connected operations also identify a need for service before the machine or product fails. These data analytics will drive previously unattainable efficiency improvements by providing predictive maintenance analytics and higher productivity levels.
With the help of predictive analytics, smart connected operations help organizations anticipate problems and take early action.
For example, your industrial machines would be remotely monitored and adjusted by end users during and beyond operation hours. They could even begin to manage themselves leveraging machine learning and predictive analytic engines.
The bottom line is that smart connected operations have begun to change business models, organizational structure, and manufacturing system architecture.
The development and the deployment of smart connected operations will be incremental, but the opportunity is here today.
What are you waiting for? It’s time to start capturing the time, dollars, production, and quality that smart connected operations can provide.
