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
Bottleneck Analysis
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.
Additionally, with the further integration of AI and machine learning, DPM streamlines the identification of patterns in data, resulting in faster problem-solving and decision-making.
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.
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.
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)
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.
Smart devices and connected products, like the Apple Watch, raise an interesting question, what are the implications of transforming traditional products into smart connected products?
Now that we have sensors, connectivity, big data, and analytics, customers and businesses are leveraging this value to create new opportunities – here’s how.
Remote Operations
Connected products can share their data with their users, and likewise with the manufacturer, unlocking new service opportunities.
For example, I have the Nest thermostat in my house. I can adjust the temperature on my way home from work just but using a simple app control.
For a Minnesotan like me, this is pretty awesome when you experience winters like we have.
Remote Services
From a company perspective, remote access services are very valuable as well.
For example, just like a smart thermostat, manufacturers can automatically send updates to assets. Or if maintenance is required, technicians can often save time and money by remotely connecting to devices to ensure software and hardware are performing effectively. This can avoid unnecessary service calls.
Innovative Product Designs
Another great use case is how companies can change their product design strategies.
For example, IoT enables a new design strategy known as evergreen design. The premise is that when products are operating in the field, new software features can be built and delivered to a device to extend functionality and the usable life of a product. The Tesla car illustrates this concept well. Tesla actually used an evergreen design strategy to avoid a major recall.
A few years back, there were several instances in which the battery cell of the car actually rubbed against street curbs as the car turned corners, causing fires. Instead of sending all the Tesla cars back to the dealer, or a mechanic shop, the company sent a software update that automatically raised the clearance of the car chassis where the battery was located.
Tesla’s evergreen design saved the company money, as well as customer time, and money associated with a traditional recall.
Big Data Analytics
Another big game-changer in business is the value to be had from big data. Now that products can share information throughout their product development cycle and useful life, there is, in essence, a stream of data that we can collect, analyze, and use to inform all sorts of business decisions.
Wouldn’t it be nice to know when the average daily usage of your products or product segments is in decline or incline? It could drive new product innovation timelines, customer success strategies, and new revenue from cross-sell and up-sell.
Data Collection & Analysis of Consumer behavior
The practice of using big data is not new. For example, in the retail market, companies are using purchasing behavior data to inform their business decisions.
A great example comes from 2004 when Walmart conducted a big data study on customer purchasing behaviors prior to hurricanes.
What they found was surprising. A few days prior to the forecasted hurricane, people bought a significant amount of pop-tarts. In particular, strawberry pop-tarts. On the day of the hurricane, they bought more beer. Based on this data, Walmart adjusted their stock supply in anticipation of the new demand. This use case is unique in that data was originating from people’s shopping behaviors. What is different now is that we can collect and analyze data from products as well.
Remote Monitoring
Take the case of smart sports equipment. A friend I play golf with had a sensor attachment that told her about her swing, ball placement, and field location. So, as we were playing throughout the day, she was pulling out her golf app, observing her golf swing, and adjusting performance based on that data. This is great for the user, and there are also added benefits for the manufacturing company!
For example, the tennis racket company Babolat has sensors attached to their play pure drive product, which collects data about a player’s swing, the speed of their ball, and impact location.
Product to service transformation
Babolat also provides a training service, where based on the player’s performance, Babolat will provide consulting, hitting tips, and other development programs. In this use case, big data is transforming a traditionally hardware-oriented company into a service company as well.
This brings me to my last example, which illustrates a radical change in how businesses perceive product value.
Product-as-a-Service (PaaS)
Namely, products are now carriers for potentially limitless services based on how you creatively leverage their smart and connected elements. This concept is not new.
Products-as-a-Service have been pioneered in the aerospace industry.
For example, Rolls Royce licenses out their engines to airline customers, and they charge airlines for the millage of the planes as well as services associated with repair, and maintenance.
This is generally known as power by the hour. This product as a service concept is gaining a lot of attention in the IoT market.
For example, there is a big software battle for ownership of the car segment. Google, Apple, Microsoft, and the original car makers are attempting to get a slice of the services associated with cars, such as navigation, entertainment, and safety systems. This new service focus is really interesting for product development and associated business operations.
Bottomline – products are carriers of tremendous value. Now that we have sensors, connectivity, big data, and analytics, customers and businesses can leverage this value, and create new opportunities.
IoT Intro Class
At EAC, we want to make sure you don’t miss out on any revolution with respect to potential capabilities that you can add to your products- while we also realize the importance of basing your IoT initiatives around your mission statement. That’s why we created what we call our IoT Development Workshop.
We have made it our mission to help guide organizations like yours to explore and embrace the uncertainty of the emerging IoT market.
It’s no wonder people like you are researching ways to reduce downtime. A 2016 ITIC survey found 98% of organizations said a single hour of downtime cost over $100,000. 81% of respondents said an hour of downtime cost their organization over $300,000!
Remote monitoring, remote diagnostics, and predictive analytics are helping organizations reduce downtime. They’re transforming the way companies manage and service their manufacturing operations. As Gary Wollenhaupt calls out in his article about how IoT Slashes Downtime with Predictive Maintenance; manufacturing machinery and other assets can now be connected to the industrial internet of things. Predictive maintenance will begin to replace scheduled maintenance based on mileage, time, usage, or other predictive measures.
We now have the ability to digitally peer into the inner workings of an asset to understand performance, tolerance, temperature, or any number of other factors that can be measured using sensors and device networks. When harnessed, this data is the is the answer to the question being asked by many organizations – “How do I reduce downtime and increase productivity?”
There are many tools on the market to collect the data streaming from sensors and turn it into useful information. We recommend PTC’s suite of industrial connectivity / Industrie 4.0 solutions. We’re not alone. Forrester Researched named PTC and IoT Software Platform Leader and PTC’s ThingWorx was named a leader in “IDC MarketScape: Worldwide IoT Platforms (Software Vendors) 2017 Vendor Assessment.” PTC’s integrated solution suite includes ThingWorx, Vuforia, Kepware, and others.
Our team of solution architects and technical experts can help define and implement the solution(s) you need. We want to help you begin remotely monitoring your assets, whether manufacturing or remotely deployed (products), and leverage predictive analytics to reduce downtime and save money. It may involve a custom solution set, or it could simply be PTC’s eacy-to-deply Manufacturing Apps.
EAC is here to take on as much or as little of your project as necessary. We can simply provide the software for your own team to implement. Or we can manage the entire process from installation, to implementation, to integration and front-end development.
Please contact us. We want to help you leverage technology to reduce downtime and improve your bottom line.
Here is a better description of the solutions mentioned above:
The ThingWorx platform includes compatible modules that deliver the functionality, flexibility, and agility enterprises need to implement industrial IoT apps and AR Experiences. This includes industrial connectivity, analytics, and application enablement. ThingWorx is unrivaled in its ability to help companies quickly connect data streams and publish dashboards or mashups.
Kepware is a single solution for collecting, aggregating, and providing secure access to industrial operations data. The ThingWorx Native Interface integrates the Kepware KEPServerEX with ThingWorx easily and securely. This integration lets organizations take data streams from almost any manufacturing asset and present it in a useable format. The Kepware family also offers a predictive analytics engine in addition to other Machine-to-Machine (M2M) and Data Tunneling solutions.
Vuforia is PTC’s solution for creating rich augmented reality experiences for applications such as work instructions, user training / manuals, asset monitoring, and service instructions. It lets users leverage the richness of 3D and insights from IoT to deliver compelling augmented reality experiences the help improve efficiencies, build better products and enable safer, more productive workers.
