Get with the Program(ming): 10 Articles to Help You Transform Your Data
Collecting data but not sure how to use it? You’re not alone. See how smart shops are turning raw machine data into real results—better decisions, smoother operations, and measurable ROI.
Share
Is your shop gathering valuable data but struggling to put it to use? You’re not alone. In this collection of real-world examples and expert advice, see how innovative shops are turning raw machine data into powerful insights that drive better decisions, streamline production, and deliver real ROI. From AI to machine monitoring to digital twins, learn how to get more from your data — just like you do from your equipment.
Taking Machine Monitoring from Data to Action
What will define the next stage of machine monitoring software? MachineMetrics’ Rutherford Wilson believes the answer will look something like a manufacturing execution system.
Shops Capturing and Applying Data to Drive Employee Efficiency
Here are three examples of machine shops using manufacturing software and data-driven improvement concepts to bolster not only their shopfloor employees’ efficiency, but their overall productivity, too.
Four Questions (& Answers) About Data-Driven Process Improvement at CNC Job Shops
How can shops can make informed decisions using data-driven feedback to improve shopfloor efficiency and profitability? And how will these technologies differ between high- and low-volume production?
How AI and Digital Twins Might Shape the Future of CAM
The manufacturing world will achieve gains in part-programming productivity and flexibility with the rise of machine-aware, smart digital twins powered by artificial intelligence.
5 Stages of a Closed-Loop CNC Machining Cell
Controlling variability in a closed-loop manufacturing process requires inspection data collected before, during and immediately after machining — and a means to act on that data in real time. Here’s one system that accomplishes this.
Process Parsimony — Automation’s Secret Key for Scale and Quality
Automation is thought to be the secret to improving quality in manufacturing. What if we told you it was something else?
Leveraging Data to Drive Manufacturing Innovation
Global manufacturer Fictiv is rapidly expanding its use of data and artificial intelligence to help manufacturers wade through process variables and production strategies. With the release of a new AI platform for material selection, Fictive CEO Dave Evans talks about how the company is leveraging data to unlock creative problem solving for manufacturers.
Labor, Compliance and Sustainability Strategies
With the right tools, including ERP software, overcoming this “manufacturing trifecta” of challenges is within reach.
Precision Shop Adopts Machine Monitoring, Boosts Revenue
Find out how adopting machine monitoring helped LeClaire Manufacturing boost its vertical CNC utilization rates 38 percentage points and gain millions in revenue.
4 Bright Ideas for Effective Lights-Out Machining
Source: Getty Images
Adopting lights-out machining involves considerations when a machine shop decides to move forward with the process. Here are some tips to a successful implementation.
Want more data-driven content? Check out our May issue!
Related Content
-
How to Meet Aerospace’s Material Challenges and More at IMTS
Succeeding in aerospace manufacturing requires high-performing processes paired with high-performance machine tools. IMTS can help you find both.
-
4 Commonly Misapplied CNC Features
Misapplication of these important CNC features will result in wasted time, wasted or duplicated effort and/or wasted material.
-
How to Evaluate Measurement Uncertainty
Manufacturing and measurement are closely coupled. An important consideration for the use of measurement results is the associated measurement uncertainty. This article describes common metrology terms and provides an example uncertainty analysis.
