metalworking-cnc-milling-machine-monitoring-unattended - SFA

Affordable sensors, machine-monitoring software and smarter automation are bringing lights-out operations within reach for manufacturers of all sizes today – and pushing IT and Operations leaders to rethink what “unattended” really means.

Nocturnal Machine Unattendance

When the clock hits midnight at KAD Models in Vermont, a manufacturer that specializes in CNC machining, silicone molding and urethane casting, the work of its FANUC M-710iC/50 robot is in full swing but the lights stay off. FANUC America shares that the company’s programmers prove out prototype parts during the workday and then set up the machines to run at night, eliminating the need for a second or third shift. Completed parts neatly await the programmers in the morning.

Across the United States, manufacturers in sectors like heavy equipment, aerospace and automotive are increasingly experimenting with “lights-out” production – or at least “lights-dim” or “lights-sparse” operations, which involves a measured approach to “identifying specific processes, areas within a facility, or time blocks during production where crewless operation is both feasible and valuable,” explains Siemens. While fully autonomous factories remain rare, the building blocks are now accessible: low-cost industrial sensors, machine monitoring software and connectivity hardware that can turn even decades-old equipment into data-generating assets around the clock.

Those experienced with dark factory operations issue a word of caution for first-time forays. Matsuura product manager Tyler Bonde says, “Not every job is a candidate for unattended machining.” He suggests those jobs that involve uncertainty should be run during the day with an operator nearby so that lower value work can be run at night, when automation can make its biggest impact.

Evolution of Equipment Autonomy in Dark Factories

The maturity of modern machine monitoring is one of the biggest enablers. Solutions that once required expensive (and extensive) deployments can now be installed in hours, even on legacy machines, and offer flexible, month-to-month subscriptions rather than multi-year contracts.

Engineering testing for lights out machine monitoring manufacturing facility - SFA

If you’re testing or already engaged in unattended manufacturing, a lights-out machine monitoring strategy is critical to shed light on and protect your equipment operations around the clock.

Of course, equipment monitoring is not a prerequisite for lights-out manufacturing.

“You can certainly run unattended operations without machine monitoring,” says Greg Mercurio, president of manufacturing systems integrator Shop Floor Automations (SFA). “But you’re absorbing a lot of risk and undue stress if a job deviates from the program, a machine breaks down and no one is alerted until it’s too late. Manufacturing lights-out without monitoring your equipment is like operating your plant without a fire alarm. Why gamble with your machines, the job itself, materials and your customer relationships when you don’t have to?” asks Mercurio.

Today’s equipment monitoring platforms, like DataXchange, pull data through MTConnect adapters, wireless sensors, or direct wiring to controllers. This means IT directors can rely on secure edge networking and properly governed data flows, not massive infrastructure rebuilds. And Operations leaders gain the insight they’ve been craving to fully understand: “Which machines can safely run unmanned?,” “Where is tool wear most predictable?,” and “Which processes need tighter parameters?”

Safeguarding Your Lights-Out Investment

metalworking-cnc-milling-machine-unattended - SFA

Committing to a lights-out manufacturing approach for any facility requires “extensive planning, the best equipment, experienced machinists and a commitment to quality to reap any benefits,” explains Ohio-based Advance CNC Machining, which boasts machining capabilities for up to 14 hours unattended depending upon the part. As a result, the company can offer shorter lead times and attractive pricing – adding to their competitive advantage.

For those looking to safeguard their investment in lights-out, SFA’s Mercurio recommends a simple progression:

 

  1. Instrument prioritized machines with monitoring and sensors by working with an experienced manufacturing integrator, such as SFA, for stable automation of your operations and preventive and predictive maintenance. This includes using sensor data for vibration, coolant monitoring and planned tool changes to avoid unplanned downtime overnight.
  2. Standardize data across cells using MTConnect or OPC UA.
  3. Automate material handling or tool changes for predictable jobs. Lights-out should initially focus on proven, repeatable programs that require minimal human intervention and have predictable tooling and material characteristics. More complex, high-variability work can remain on attended shifts until process knowledge and confidence improve. This staged approach reduces risk and creates reliable repeatability before scaling to full shifts or multiple cells.
  4. Pilot an unattended shift on one machine, then scale outward. Treat lights-out as an ongoing program rather than a single installation. Monitor KPIs such as OEE, uptime, scrap rate, tool life and unattended-shift throughput. Use the data to fine-tune processes, expand automation in phases and introduce advanced capabilities, such as automated inspection or material handling, when the foundational pieces are stable. The goal is not simply to run at night, but to run smarter every month.

“You can certainly run unattended operations without machine monitoring. But you’re absorbing a lot of risk and undue stress if a job deviates from the program, a machine breaks down and no one is alerted until it’s too late.”

The payoff of dark factories is compelling: higher throughput, fewer overtime hours, reduced errors and waste driven by machine precision, less safety risks and the ability to run profitable second or third shifts without adding headcount. For manufacturers considering lights-out operations – or those already running a dark factory – contact SFA to learn how your teams can illuminate equipment visibility to protect your operations 24/7/365.

Best practices to implement machine monitoring

Whether you have seven machines or 70 pieces of equipment on your floor, there are best practices that manufacturers across industries can apply to get the most out of your machine monitoring journey. As a top implementer and supporter of equipment monitoring software, Shop Floor Automations (SFA) has helped hundreds of manufacturers throughout North America benefit from increased shop floor data visibility. Here’s our top three recommendations to follow:

  1. Begin with the end in mind. How will you gauge success for your team using machine monitoring, e.g. less downtime, decreased cycle time, greater productivity? While you may uncover more wins throughout your machine monitoring journey, setting 1-2 initial goals you aim to achieve with your new equipment monitoring software will increase your chances of realistically accomplishing them within your target time frame.
  2. Start small. As a relatively simple software to install, machine monitoring can be tempting to roll out to all your equipment immediately. Resist the urge. Large volumes of data can quickly overwhelm your resources, particularly as you’re just learning and configuring the application. Instead, establish a pilot program among a few key pieces of machinery over a particular time frame. You can install the DataXchange equipment monitoring service, for example, on one computer, like a desktop or server operating system, to collect and transmit your machine data to the cloud securely. Then the application can be installed on the PC of each user. All of the equipment in your pilot program will need to be connected to the network and DataXchange, and you’ll need to do the same for the Operator Data Interface (ODI) of the machine monitoring solution if you’re looking to have operators enter downtime reason codes, scrap part counts or send an e-mail. Once you’ve fine-tuned the program for the pilot group, you can easily expand it to the rest of your floor and other locations.
  3. Involve all. Machine operators, maintenance, engineering, quality, all the way through management and executive leadership should take part in the machine monitoring undertaking. The engineers at one aerospace company leveraged machine monitoring to track probing adjustments made to work offsets to begin building a historical reference. This way they can check what change to the offset may have had on a nonconforming part.
    CNC connect in the factory - Scytec DataXchange

    Once you’ve fine-tuned your machine monitoring program, like DataXchange, for a pilot group of equipment, you can easily expand it to the rest of your floor and other locations.

    By pulling in tool numbers, tool life, maximum tool life, the maximum load, average load and average and maximum vibration – and applying custom variables to know how far and how long that tool is running – the team better understands the result if something was changed to see if it made the output better, or if the machine is running less or more. Today the manufacturer continues to expand its usage of the system, including setting a monthly cadence to verify part standards in ERP to actual cycle times, to meet the needs of its C-suite. By involving each stakeholder, you widen the chance of adoption success as well as new potential opportunities for improvement.

These three best practices are just the beginning of your machine monitoring voyage toward improved profitability. To determine the best approach to implement machine monitoring for your business, contact an automation expert at SFA today.

Equipment monitoring ERP - Scytec DataXchange

Maintenance, particularly on the shop floor, involves expensive machinery – which translates into high costs for actions like repair work. These costs can represent anywhere from 15-70% of expenses, says IEEE. But maintenance costs may not even be the biggest liability.

 

Equipment monitoring ERP - Scytec DataXchange

Inefficient maintenance processes, like manual data collection, contribute to unplanned downtime and costs, according to Forbes.

For companies with strict quality standards and challenging customer expectations, the cost of a nonconformance, rework or even rejection can be enough to draw the attention of executives due to the shipping, additional labor, materials and reallocated machine time required to correct the defective product. This says nothing of the damage to the customer relationship and the impact on their own tight schedule. It behooves manufacturers, then, to ensure shop floor equipment is always performing optimally with minimal downtime.

The Move Past Manual Downtime Tracking

To do so effectively, manufacturing machinery must be continuously monitored. Today’s smart factory showcases plants with modern machine monitoring software, like Scytec DataXchange, which replaces previous steps of manually tracking, handwriting or physically keying in cycle times, set up times, downtimes, costs and reason codes, and then piecing this data together to understand trends, performance and opportunities for improved efficiency. While these manual processes were time- and labor-intensive to compile, report and analyze, they were also often riddled with inaccuracies, in addition to the time delays that further hinder a company’s ability to react quickly. In fact, Forbes specifically cites these types of inefficient maintenance processes as bad attributes that contribute to unplanned downtime and costs.

Bigger Business Benefits

The utilization of equipment monitoring software becomes crucial, therefore, for businesses working towards the goal “to prolong production performance until it reaches a point that the machine requires complete replacement due to wear and tear or technology change, if justified,” writes Salman Taghizadegan in Essentials of Lean Six Sigma. But the benefits of equipment monitoring systems extend past precise predictive maintenance. Through Enterprise Resource Planning (ERP) integration, ideal machine monitoring software can capture and populate data, like these, for an even bigger business-wide impact:

  • Actual set-up and run times. By comparing your estimates to your actuals, you’ll increase the accuracy of your job costing to give you a better handle on your margins and overall profitability. The visibility afforded by these actual times will allow for easier and more reliable planning and scheduling, as staffing requirements become predictable.
  • Machine statuses. Uptime and downtime records and notifications to maintenance, production and management can ensure service is planned for and executed when – and exactly – as needed.
  • Completed quantity. Inventory of raw materials, intermediates and finished goods can be affected in real-time by machine processing, as it occurs.
  • Scrap quantity. Material requirements may be altered based on the volume of actual scrap produced, adding to the dependability of planning and scheduling.
  • Scrap codes. Opportunities to reduce waste may be presented through reason code analysis.

Integrate Machine Monitoring with ERP

While machine monitoring software offers a lot towards optimal maintenance management, its integration with ERP is the lift that expands the effect of equipment data across the enterprise to grant clearer visibility into production, inventory, accounting, lean, planning, scheduling – and yes, maintenance – to help drive greater consistency into each process for more effective decision-making. Learn more about connecting your ERP with machine monitoring software by contacting a Shop Floor Automations representative today.