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.
Often times we can find ourselves knowing where we want to go but not knowing where to start. This is a common theme when it comes to digital transformation. Not surprisingly, we have seen many of our customers use EAC assessments as the first step to open up a world of opportunities for their company to grow and evolve its processes.
JR Automation has been an EAC customer for over a decade, and when we first started working with them, the first action was an EAC assessment. We were able to provide them a customized roadmap for success and prove how JR was going to achieve it. EAC has helped JR Automation find ways to save time, save money and increase efficiency – with savings over $1.4 million every year. JR took the first step with EAC helping them to find that starting point. Today JR continues to find new ways to innovate and evolve with growing customer demands in a highly competitive marketplace.
What to Expect from an EAC Assessment
Assessments can seem daunting at first. You may be asking yourself questions like, “Are they going to come in and tell us all the things we are doing wrong?”
In reality, our goal with assessments is to identify your current state and production and manufacturing processes, assess the maturity of your operational technologies, and work with your team to pinpoint an ideal future state. Making transformational changes to a company can be a sizable cultural shift and we help companies prepare to make that change. There are risks you take when you don’t assess your current situation, and we want to help you minimize those risks.
Functional Group Assessment (FGA)
The EAC Functional Group Assessment provides an objective format for your functional groups to truly understand their creation, consumption, and delivery of product data. These groups could consist of any cross-sectional team members from engineering, design, manufacturing, sales, marketing, or management.
During an FGA, our team of subject-matter experts will work to understand how your key team members work daily to complete the product development process. After the evaluation is complete and our experts have uncovered your current processes and technology usage, we will help you establish a roadmap that will lead your company to higher productivity and savings across the board.
After our findings have been documented and studied, we will lay out new possible methods and functions to improve overall productivity. These recommendations could include ways to improve capability gaps, business policy improvements, procedures that ensure efficiency and alignment, or strategies for training to maintain efficiency.
The benefits of an FGA could span from understanding your Functional Group alignment to business objectives and initiatives and their use of existing toolsets to examining processes and daily tasks that reflect your current state. We also uncover overall awareness of opportunities for improvement and bring alignment to Functional Vision for your desired future state.
Ultimately, we help you create a plan to achieve that desired state so you can spend less time wondering how to grow and more time-saving money through innovation. Companies like ITW Paslode and Nordco have taken advantage of the FGA and have seen the financial value in getting started on the transformational journey.
Digital Transformation Assessment (DTA)
Similar to the FGA, a Digital Transformation Assessment is an EAC-provided service that explores an organization’s product development system functionality. Our experts look at an organization’s operations and provide broad insight into improvement initiatives and establish a strategy for achieving operational improvement of a product development system.
When working through this assessment, our team has candid one-on-one discussions with your team members where we uncover what is working well, any occurred costs, and evaluate optimization opportunities.
The results that stem from an EAC Assessment are unmatched. Companies are discovering data they never knew were siloed, teams that were frustrated with processes, and many other disruptions in production. After uprooting and addressing these issues, companies like JR Automation, HyrdaForce, DRS, Merrick, and Systems Control are able quote more business and respond to customers faster – increasing their profit as well as employee and customer satisfaction.
Streamlined Digital Transformation Assessment (SDTA)
Similar to the functional DTA, the Streamlined Digital Transformation Assessment focuses on the interviews and direct inputs from your team members. However, it does not include an online survey and corresponding metric output. This assessment is offered as one variation of the Digital Transformation Assessment to fit your specific needs.
This assessment is a great fit for companies that have the desire to optimize their product development system, have the approval to move forward with the optimization, but are unsure where to start or what to focus on first.
While there are a few exclusions from the full DTA in this assessment, our team still coordinates select participants to plan and schedule the execution of individual interviews with participants involved in the assessment. This process will be a higher level approach than a full DTA, and may not include as many details or metrics. This assessment is still an excellent tool to explore your current business functions and define a roadmap to success.
Digital Manufacturing Assessment (DMA)
The Digital Manufacturing Assessment evaluates the overall state of your current product development systems regarding IoT initiatives, provides broad organizational visibility to improvement initiatives and identifies an IoT solution roadmap to help you determine the very first steps you should take on your digital transformational journey.
After evaluating your current manufacturing practices and operations, our experts will identify the best opportunities for growth that align with your corporate goals. When Kimray did a DMA with our team, they were able to recognize technology and solutions that would integrate with their current processes and also propel them to the next level in production. Together we developed a strategic roadmap that enhanced their processes.
The opportunities and pathways are endless to how your company can achieve digital transformation in the same way – a DMA is a great place to start.
Value Stream Mapping Assessment (VSMA)
A Value Stream Mapping Assessment consists of documenting the key action steps during production, gathering information from inputs and outputs, examining the systems used to manage that information, and pinpointing key optimization opportunities at each step. After, our experts work with your team to define an ideal future state of your product development process. The future process documentation outlines key improvements needed in business principles, policies, processes, and procedures utilizing the latest systems available to you to facilitate those improvements. Our EAC experts then defines a high-level roadmap and guidance on how to achieve those improvements.
During a VSMA, your team can expect to receive an important strategy that documents your current state including process documentation, pains, and what those pains are costing your business. With this information, together we will curate the vision of your future state – what your development could be – and create a roadmap on how to get there.
The company MEANS had EAC come in for a VSMA and was able to get a roadmap on system integrations that opened up the opportunities for better processes to connect their company. With an EAC roadmap, MEANS was able to realize a future state of streamlined processes to get their product to market faster and with less downtime.
When to Start
Now that we’ve answered the “what” and “why” of EAC assessments, the next question is “when.” Knowing you want to take your business to the next level, but feeling like you don’t how or where to start is the perfect time to invest in an assessment. Our ultimate goal is to understand your unique enterprise, your corporate strategic goals, and its current state, define your ideal future state, and plan an achievable way to get there together. EAC’s Assessment services can be the stepping stones for long-term company success and Digital Transformation.
Want to hear more testimonials or see which assessment would fit your company best and see how we could transform the way you do business? Connect with one of our experts!
They say a picture is worth a thousand words, so here’s a hypothetical situation to paint the story ‘how real-time information and predictive analytics unlock value.’
To start, imagine a fully functioning assembly line with a robot, a pneumatic system, a series of conveyors, and a vision system.
Let’s pretend the supply station in the back is bringing in our raw materials. The robot is assembling those materials with precision. The resulting assemblies are then passed on to the quality station, and the vision system inspects each of those assemblies to ensure proper alignment of the parts.
This is a pretty generic operation, but it can show how unified real-time information and predictive analytics unlock value.
Now imagine yourself as a maintenance engineer, who wants to check the status of your asset pool.
Using software, such as ThingWorx Navigate by PTC for example, you launch a role-based maintenance application. All of a sudden you see a complete list of your assets with real-time performance stats and relevant alerts or notifications. You also have a complete list of all your outstanding maintenance work orders.
From here, you have the ability to drill into any of your assets, but you start with the quality station. You immediately see the key characteristics of the station. You see that speed vibration and temperature are all operating within their specified range. You could also see notifications of any warnings, malfunctions, or potential future problems.
Next, you use your device to take a look at the pneumatic system. The pneumatic system also looks fine. Both pressure and flow are operating within the specified range, and there are no outstanding maintenance tickets or work order notifications on your screen.
Now, let’s consider a situation where there was a leak in the pneumatic system. Let’s say a loose fitting was releasing pressure, a fairly common problem in pneumatic systems. Now, rather than looking fine, your device displays flow readings outside of the designated operating range. Furthermore, an alert has automatically been sent to notify you that a system has an error. The overall status indicator on your screen has now switched from green to orange – operational, but not optimal.
Your software solution’s machine learning is now predicting that this air leak, if not repaired, will result in a pneumatic gate failure in approximately 10 day’s time. The good news for you is the system has already issued you a maintenance work order to address the problem before asset failure and unplanned downtime.
This scenario is made possible by a system equipped with primary and secondary sensors, and a complete Industrial Internet of Things (IIoT) solution that can turn raw machine data into valuable information.
For example, your pneumatic system has an airflow sensor, as well as a pressure sensor. The conveyor systems are equipped with motor temperature sensors and vibration sensors.
In addition to the sensors, the rest of the assets on your line are controlled by typical PLCs, which are connected to software such as ThingWorx and Kepware.
You have also used your software to integrate manufacturing floor systems with real-time IT applications, asset maintenance tools, and ERP systems. This provides you with a real-time alignment of your IT and OT systems.
Now, all of your systems are throwing data out at a staggering 800 data points per second.
Your software’s machine learning then uses that real-time streaming data to establish a baseline of normal operating conditions. This way it can immediately connect and broadcast any anomalies that occur. It uses these anomalies, in conjunction with its prediction capabilities to notify you of future problems, just as in the case of the pneumatic failure.
Now that you have an understanding of what is happening under the hood, let’s take a look at how all this comes together to enable real-time operational intelligence.
Pretend you are a production manager. Using software like ThingWorx Navigate and Kepware you have complete visibility into all of your factory operations. You can see all of your work orders, lines, and all of their critical KPI’s.
On your device, you notice an orange status indicator on line one (that was created from the air leak earlier). Once that air leak has been repaired, everything returns back to normal, just as you would expect.
Let’s explore one more hypothetical situation. Consider yourself to be an operator. In this case, you have just been assigned a new order for a thousand units that need to be delivered and expedited for an end-of-day delivery.
You’re notified of the order and in this smart connected scenario you, as an operator have a single portal from which you can see and execute all of your work. Through a single pane of glass, you now have access to your business systems information and your operational data including the KPIs from your line.
On your device, you also have up-to-the-minute visibility of the OEE (Overall Equipment Effectiveness). You see real-time data measurements of your manufacturing operation’s availability, quality, and performance.
Let’s see how some of these metrics might change if we go ahead and speed up the line to accelerate the current order, in order to make room for that expedited order.
To do that you switch the line speed from level one to level two. What you see in seconds on your device is that line speed has increased, and your assemblies are still passing the quality check.
Within a couple of minutes and a few additional cycles, on your device, you see both your performance and OEE trending upwards.
As an operator, you now are assured that you are going to meet your end-of-the-day deadline.
Using these hypothetical situations, together we have painted a picture demonstrating how you can connect disparate assets from different vendors, to provide real-time information.
You’ve also seen how you can leverage role-based applications that combine business systems information and operational data to empower your workforce with real-time actionable intelligence.
By integrating machine-learning capabilities you brought a whole new level of predictive intelligence to your factory floor, identified problems, and resolved issues with minimal impact on operational performance.
This is exactly how real-time information and predictive analytics can unlock value for your organization.