In today’s world, it’s not uncommon for companies to be rich in data but poor in insights. Despite having access to a wealth of information, organizations struggle to properly analyze performance and drive transformational improvements. This is where ThingWorx Digital Performance Management (DPM) steps in to bridge the gap.
This week in your factory, you’ve applied maximum effort, pouring countless hours into perfecting your product. As the work week ends, a feeling of slight disappointment remains.
Could you have accomplished more? Where did it go awry? You may not be able to find the answers on your own, leaving your factory inefficient and operating below its full potential.
If this is you, look no further. With the capabilities of Thingworx Digital Performance Management, you will unleash an untapped potential of data and boost your manufacturing processes.
What is Digital Performance Management?
ThingWorx Digital Performance Management (DPM) is a cutting-edge solution designed to help organizations identify, prioritize, and improve production issues.
By capturing lost production hours and their causes, DPM indicates where to focus for the most critical impact. Also, it optimizes the finite time available, allowing organizations to reclaim lost hours and increase effective time by 20% or more. Thus, directly impacting the bottom line.
How Does DPM Work?
Consider a manufacturing facility that can produce one unit per hour. In a week with 88 hours worked, the facility manages to manufacture only 44 units. Let’s say 12 hours are lost through planned downtime and 14 hours are lost due to changeovers.
That leaves about 18 hours unaccounted for. Where did those come from? With ThingWorx DPM, you can quickly identify issues, and why they happened, and then take appropriate actions to fix them.
Moreover, DPM calculates and analyzes discrepancies, providing valuable insights to improve productivity. DPM is a comprehensive toolset that propels organizations towards peak performance by tracking performance, conducting in-depth analysis, planning, and validating improvements.
The Production Dashboard
One feature included with DPM is the Production Dashboard. The visual dashboard is a crucial tool for supervising shift performance and gathering vital data to inform reporting and analysis. It is designed for supervisors and line managers to track productivity across various production lines.
Some key features of the Production Dashboard include:
Provides insights into shift progress at the production block level
Allows for automated and manual data entry, including reason codes to capture all losses
And offers a simplified interface to minimize disruption
The Bottleneck Analysis tool is designed to automatically detect and monitor the most significant bottlenecks in your factory, providing valuable analysis and insights into OEE and OLE.
One of the challenges that customers face is a lack of visibility into bottlenecks, which leads to a disconnect between continuous improvement efforts and their impact on the business. However, bottlenecks are often dynamic and complex.
To address these challenges, DPM offers key capabilities to help identify and resolve:
Automatically identifying and tracking bottlenecks.
Systematic identification of the top constraints, which can significantly increase factory efficiency by 5-20%.
Management of the dynamic nature of competing bottlenecks.
Overall, DPM works relentlessly, making up for lost time by tracing the root cause of issues and providing precise remedies to ensure smooth and efficient functionality. Consider DPM an invaluable employee, working tirelessly around the clock without additional overtime costs!
Accelerate Problem Solving with DPM
DPM’s capabilities extend beyond surface-level analysis. By combining Pareto analysis and time loss analytics, DPM users can uncover and address a significant percentage of production problems.
For instance, a DPM user noticed quality losses between 3 p.m. and 4 p.m. Thanks to DPM’s automated analysis, the manufacturing team quickly determined that the issue was caused by a glare from the sunset, making the inspection camera unreliable.
All in all, DPM helped accelerate the problem-solving process saving valuable time and resources.
Reap the Benefits
Digital Performance Management is as remarkable as it sounds. DPM holds the secret to your production improvements and is ready to share them with you. Discover the plethora of benefits that are tied to DPM:
Standardized Measurement: DPM provides a consistent and standardized approach to measure losses, ensuring accurate evaluation of bottlenecks, and their impact on performance.
Efficient Root Cause Analysis: Leveraging AI technology, DPM identifies the root causes of bottlenecks and facilitates their permanent resolution, eliminating recurring issues.
Automated Problem Identification: DPM’s powerful AI algorithms automate the process of surfacing common issues, exponentially reducing the time spent on problem-solving.
Real-time Insights: What once took months to identify critical insights now becomes easily accessible through DPM’s intuitive interface, providing teams with immediate access to actionable insights.
Get Started with DPM Today!
In conclusion, if you want to revolutionize your performance management and take your organization to new heights, it’s time to embrace Digital Performance Management.
Remember, in today’s fast-paced world, those who leverage technology to gain insights and make data-driven decisions are the ones who thrive.
Are you ready to unlock the true potential of your organization with Digital Performance Management? Talk with an expert now to take your first steps toward success.
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.
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.
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.
Smart, connected products enable the comprehensive monitoring of a product’s condition, operation, and external environment through sensors and external data sources.
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.
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.
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.
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
Make more informed decisions faster
Increasing flexibility and agility
Monitoring the status of inventory in real-time
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.
Increase bottom line
Decreased Machine Downtime
Optimizing Factory Production
Reduced lead time
Improvement of Operational Performance
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.
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.
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.
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.
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.
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.
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.