Featured Stories

Categories

Machine Monitoring: Your first step in Industrial IoT | MachineMetrics

Cullen McLarty
August 28, 2018

The first step in adopting Industrial IoT is Machine Monitoring.

Industrial IoT is the wave of the future for manufacturing. Why? Because the goal in any plant or on any factory floor is to reduce costs to improve profitability without compromising quality and, therefore, remaining competitive. Add in the need to be able to respond to custom requests with minimal lead time, and it’s clear that there is a lot riding on the efficiency of any given machine.

MM_VSS-160

Manual methods and processes have gone as far as they can to achieve this goal, so it’s time to look to new options that go beyond the capacity of the individual and instead harness machine and operator data to achieve maximum efficiency.

What was the condition of manufacturing before industry 4.0?

Before industrial IoT, investigating the status of any given machine required labour intensive manual intervention. The cost to find a problem, in terms of downtime, was high. The risk of unplanned downtime was also high, as there was no way to predict the need for maintenance or repairs, other than the use of historical patterns.

This lack of real-time data was highly inefficient because it was entirely reactive. Furthermore, each machine was operating basically as a standalone. There was no connectivity from machine to machine and therefore no ability for any one operator to see a slow down or impediment and adjust their part of the production line accordingly.

The other communication disconnect was between the shop floor and the management level that needed to make operational and scheduling decisions, based on efficiency and product results.

What is machine monitoring?

MM_VSS-276

Machine monitoring involves installing web-enabled machine monitoring systems on every machine, throughout the factory floor and on every line. With data being collected continually, on every machine and from every operator in real-time, operators and managers are in a better position to harness that intelligence and make decisions that will improve efficiency across the board. Machines can also effectively self-monitor and flag operators when there is an impending problem, like a component failure.

With wireless monitors connected to easy to use software, the data is collected, analyzed and translated in terms that provide fast and simple results that can be actioned on an ongoing basis. Some monitors are designed to connect easily with all machine types, including Precision CNC, SWISS, Stamping, and Die or Mold.

The data collected includes:

  •        The condition of the machine (including status and faults);
  •        Production levels;
  •        Current work order status;
  •        Quality results;
  •        Downtime data (whether automated or as indicated by an operator)
A more modern control may allow you to even visualize the following data points: 
  • All Machine Faults/Conditions
  • Support for multiple Paths
  • Execution State
  • Controller Mode
  • Emergency Stop
  • Feed Override
  • Rotary Velocity Override
  • Spindle Cutting
  • Spindle Rotating
  • Feedrate (Programmed)
  • Feedrate (Actual)
  • Part Count
  • Path Position
  • Tool Number
  • Linear Axis Position
  • Linear Axis Load
  • Rotary Axis Velocity
  • Rotary Axis Load
  • PMC Diagnostic Parameters
  • Program Name
  • Subprogram Name

The addition of touch screen tablets at each station can allow not only for machine data collection, but operator feedback on that data as well, adding the human context that also impacts efficiency and flow. Operators can also see, at a glance, whether the machines are performing according to organizational standards and / or OEE metrics.

Benefits of machine monitoring

MM_VSS-247-Blur

Smart machines are the basis of industrial IoT and the key to competitive advantage for any manufacturing plant. Some of the benefits that will result in adopting machine monitoring as the first step to achieving industry 4.0 status are:

  • Efficiency in all steps of the manufacturing process;
  • Reduced waste;
  • Improved communication throughout the organization: operator to manager and operator to operator,
  • Data collection and analysis that is provided real-time, with alerts / notifications for data that falls out of established performance standards.

With machine monitoring, it’s not just the immediate, real-time access to data that matters. The software that analyzes the data can also provide a lot of insight into repetitive inefficiencies, by shift, machine, or jobs. This kind of data will quickly identify any production bottlenecks that are eating away at efficiency standards.

Operational efficiency is easier to achieve when operators and managers buy in. That level of change management is made effortless when all staff can see the information they need to get the job done, in real-time.

Why is machine monitoring the first step in adopting industrial IoT?

MM_VSS-153

You can’t figure out where you’re going until you know where you’ve been. That’s true for any growth path, in any business silo. In the case of industrial IoT, it’s essential to know the current status of all machines on a line, in order to harness the data effectively.

  1. Map your entire manufacturing network: You need to know what machines you have as well as some functional data about each (age, historical on data breakdowns, etc.)
  2. With this information, you know where you are starting from and can establish what goals you want to achieve in the transition to smart manufacturing. You can also clearly see what impediments you might have, both on a machine and a human resource level. For example, if historically one of your greatest impediments has been the inability to predict maintenance requirements accurately, this is likely also your first and most important goal in establishing machine monitoring and OEE metrics.
  3. What physical infrastructure do you have in place to manage a wireless software system? Does it need upgrading before you can even begin to monitor what the machines are capable of?

With these three steps evaluated and completed, you’re in a position to install machine monitoring and get a baseline of what your production capabilities are, as well as hard data and reporting on where there are inefficiencies, where metrics aren’t being met and where you can make immediate changes to improve.

The baseline machine monitoring data is your starting point. From there, you can increase your manufacturing efficiency and ultimately your production output by an average of 20% or more! In a competitive industrial environment, which most manufacturers are in, that 20% is a huge benefit. Taking that first step in adopting industrial IoT takes no time at all but it will save your business time and money, from day one.

Start monitoring your machines today

 

Comments

Related posts

MachineMetrics Announces $11.3 Million Series-A Funding Round!
11Dec

MachineMetrics Announces $11.3 Million Series-A Funding Round!

At MachineMetrics, our mission has always been to provide manufacturers with the data they need to increase productivity, win more business, and remain globally competitive. Of course, achieving a suc...

How Manufacturing Data is Affecting Machine OEMs
06Dec

How Manufacturing Data is Affecting Machine OEMs

Much has been written about the impact of the Internet of Things (IoT) and machine connectivity across the globe.  It is estimated that by 2020, there will be more than 34 billion connected machines w...

How does predictive maintenance work?
28Nov

How does predictive maintenance work?

For anyone associated with manufacturing there is a familiar image that comes to mind when they hear the word “maintenance”.  The image is of a lone mechanic pulling a toolbox on wheels across the pro...

What is MTConnect?
20Nov

What is MTConnect?

We get a lot of questions about MTConnect: what it is, how it works, and why it's important. That's why today's blog focuses on the emergence of MTConnect and its impact on the emergence of data-drive...

How IoT Applications are Reshaping Manufacturing
15Nov

How IoT Applications are Reshaping Manufacturing

How IoT Applications are Reshaping Manufacturing

System Synergy: How MachineMetrics fits in an ERP Environment
31Oct

System Synergy: How MachineMetrics fits in an ERP Environment

Simply put, every manufacturer experiences the same struggle of managing a multitude of customers, delivery schedules, suppliers, manufacturing resources, and factory-floor work orders.  Mix in the ad...

3 Ways Machine Builders Can Leverage IIoT
02Oct

3 Ways Machine Builders Can Leverage IIoT

Finding new ways of operating and new revenue streams is essential for any OEM dealing with the manufacturing industry. Machines can last a long time and manufacturers don’t take kindly to the notion ...

The Impact of AI and Machine Learning on Manufacturing
02Oct

The Impact of AI and Machine Learning on Manufacturing

  Do you remember HAL from the movie“2001: A Space Odyssey”?

What is Industrial IoT?
24Sep

What is Industrial IoT?

What is Industrial IoT? If you look at the growth of Industry 4.0, you’ll see that the Industrial IoT—or Internet of Things—is a pillar component. It’s using the internet to interact with the physical...

IIoT Platforms: To build your own or to partner with the pros?
24Sep

IIoT Platforms: To build your own or to partner with the pros?

When it comes to proprietary data and remaining competitive, it’s no wonder that the first reaction of many companies is to look into building whatever they need, in-house. The prevailing arguments ar...

banner1-1

Subscribe Email

banner2-2