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How to Deliver a Modern Service Model for Your Connected Equipment

Submitted by Luis Morinigo, VP Business Development & Strategic Partnerships at TwinThread

The state of your operations is continually adapting to survive and thrive in your industry. There are seven established stages on this journey of operational modernization. By reviewing the following, you’ll understand what each stage is, the benefits it will provide, and the next steps to take toward greater performance.

Stage 1: Computerization

  • Description: You’ve got data stores in place collecting data on the performance of your equipment.
  • Benefits: These stores benefit your organization by collecting large amounts of data against a variety of metrics that, if drawn from, will support your operators in identifying areas for improvement.
  • What Next?: Organizations at this stage of modernization are looking to connect to the wealth of data housed within these data stores.
  • Pro Tip: Little known fact; from this stage you have the opportunity to skip several steps since you won’t need to integrate legacy systems.

Stage 2: Connectivity

  • Description: Through the application of data agents, you connect to your data so it is not siloed within your information stores.
  • Benefits: You’ve established a connection between data collecting devices and technology that interprets that data.
  • What Next?: Now that you have access to your data, it’s time to gain some visibility so you can begin to see what’s happening with your equipment (what's driving successful operation).
  • Pro Tip: Real-time insights are important, but being able to predict what will happen is much more powerful and allows you to be more proactive.

Stage 3: Visibility

  • Description: By applying telemetry dashboard and time-series data, you’re now able to “see” what’s occurring with your equipment, in real-time.
  • Benefits: Your operators will be empowered to prevent anomalies from becoming larger and more disruptive issues (equipment downtime, component blow-outs, etc.).
  • What Next?: Seeing what’s happening is great - understanding why it’s happening is better. The next step is to implement the ability to identify root causes.
  • Pro Tip: Keep your in-house experts (engineers and operators) front and center. Speed to value can only occur with your subject-matter experts leading the way.

Stage 4: Transparency

  • Description: You’re now applying time-series / historical data analysis and hierarchical data models. These elements allow your experts to identify why something is happening.
  • Benefits: With a greater level of understanding into why a particular event is happening, your operators will be better equipped to see an issue and stop it from compounding.
  • What Next?: You know what’s happening now and can look into the past to understand why. Now it’s time to turn your interests toward the future - what will happen.
  • Pro Tip: You need a solution that any engineer can use. Technology that visualizes the operational information so it’s easily interpreted will allow your problem-solvers to uncover valuable adaptations fast and efficiently.

Stage 5: Predictions

  • Description: AI Models and machine learning are being applied to your data to predict what will happen with your equipment, should a particular set of circumstances continue or remain unchanged.
  • Benefits: Your organization will be far more proactive than reactive, as you will be able to prevent certain outcomes and prepare for others.
  • What Next?: With the ability to predict what will most likely occur, it’s now time to tighten your processes and eliminate key drivers of anomalies and issues.
  • Pro Tip: Getting to this point should not be drawn out. Your operators should be supported to make improvements fast (in a matter of days).

Stage 6: Adaptability

  • Description: Digital feedback loops and method calls empower your experts to take action. Digital threads identify areas for improvement in processes surrounding your equipment.
  • Benefits: By considering variables not inherent to the equipment itself, a greater level of control over performance will be achieved.
  • What Next?: Continue to interpret, evaluate, tweak and hone - continually uncovering opportunities to improve.
  • Pro Tip: Instead of asking, “are we there yet?”, ask “where to next?”.

Stage 7: Services

  • Description: A mindset rooted in a determination to continue optimizing operations at scale.
  • Benefits: By continuing to evaluate equipment data, performance metrics across the board will improve and the cost of doing business will continue to fall.
  • What Next?: At this point, you’ll already know “what’s next?” - to ask the question - “What metric are we evaluating for improvement today?”
  • Pro Tip: Get to this stage faster by drawing on technology that can do all of the above, instead of just some.

After reviewing these stages, where do you feel you land? Once you know where you’re at, you can decide where you’re going next and what you need to get you there. No matter where you are, TwinThread's Predictive Operations Platform can support your next step. Contact us here to describe where you are on your operational journey - we'd be happy to show you how we can supercharge your continuous improvement.

 

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