Data-Driven Manufacturing
Data-driven manufacturing implies that decisions controlling the manufacturing process should be based on facts, not guesses, wishes, theories or opinions. Emerging technology is enabling both people and equipment to collect and process the facts they need to achieve better results. Driving manufacturing with data promotes integration and coherence across manufacturing organizations throughout the supply chain.
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4 Ways “Tag and Track” Technology Keeps Data Chains Intact
Scannable images and tags inextricably link relevant information with workpieces, cutting tools and other physical assets.
Read More5 Smart Drilling Lessons Apply Beyond the Application
A specific machine learning use case illuminates general principles for applying artificial intelligence at any CNC machining business.
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How To Find The Right Solid Carbide Tool For Your Production
Watch this demo for an inside look at Sandvik Coromant’s advanced solid carbide tools like CoroDrill 860-GM – designed for fast and problem-free drilling, maximizing productivity through high metal cutting efficiency. (Sponsored)
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Top Shops Are Data-Driven by Definition
CNC machine shops at various stages of digitalizing their operations share a commitment to evidence-backed decision-making.
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Monitoring Machine Tools? Don’t Discount DNC
Networks that feed part programs to shopfloor CNCs can double as a foundation for pulling data from them.
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Machine Tool Data Analysis Identifies Effective Setup Tactics
Thanks to the MTConnect standard, it is easy to create a timeline of a machine’s activities and use it to discover ways for improving operations. One example is how to reduce setup time.
Read MoreLatest Data-Driven Manufacturing News And Updates
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?
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Vericut AI-Powered Tools Enhance Software Accessibility
Vericut Intelligence and Vericut Assistant aim to simplify the way users can interact with and gain knowledge from Vericut’s software products.
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From Process Monitoring to Quality Prediction Software
Even before inspection, Datanomix and Caron Engineering’s TMAC AI can extrapolate part quality from cut information. This information also helps shops push their tool life to its limits.
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AI, Data and the Digital Manufacturing Future
AI has the potential to reshape manufacturing software — but first, it will require data.
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ProShop ERP Showcases Customer-Led Demos and New Features at IMTS 2024
This year at IMTS, ProShop is featuring customer-led demos in the company’s booth.
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Paperless Parts Expands into Canadian, Mexican Markets
The company is bringing its quoting and estimating software to new markets, aiming to help manufacturers throughout North America improve win rates, drive operational efficiency and improve buyers’ experience.
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Protecting Your Automation Investments
Shops need to look at their people, processes and technology to get the most of out their automation systems.
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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.
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Manufacturer, Integrator, Software Developer: Wolfram Manufacturing is a Triple Threat
Wolfram Manufacturing showcased its new facility, which houses its machine shop along with space for its work as a provider of its own machine monitoring software and as an integrator for Caron Engineering.
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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.
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Process Control — Leveraging Machine Shop Connectivity in Real Time
Renishaw Central, the company’s new end-to-end process control software, offers a new methodology for producing families of parts through actionable data.
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Shop Quotes Smarter, Works Harder with Machine Monitoring
Temco first installed MT-LINKi to optimize quoting. Now, the software helps the shop optimize its machines — and machine purchases.
Read MoreFAQ: Data-Driven Manufacturing
How do you choose an ERP system for a data-driven machine shop?
- Consider your objectives and requirements.
- Measure return on investment (ROI).
- Speak to fellow ERP users.
- Scrutinize the demo.
How does “tag and track” technology keep data chains intact?
- Streamlining workflow.
- Automating and verifying tool setups.
- Managing the tool crib.
- Reducing waste through productivity improvement.
What are some of the best practices for manufacturing cybersecurity?
- Training regularly
- Requiring strong passwords
- Requiring multi-factor authentication
- Monitoring for threats
- Consider security beyond virtual security
Data-Driven Manufacturing Supplier Categories
- Quality Documentation
- CAD/CAM for Additive Manufacturing
- CNC Software, Stand-alone
- NC Verification
- Programmable Logic Controls (PLC)
- Communications Networks & Data Transmission Equipment
- Identification Systems
- Direct or Distributive Numerical Control (DNC) Systems
- CNC Units
- Digital Readout (DRO) Units
- Statistical Data Collection & Analysis
- Manufacturing Execution Systems (MES)
- Job Estimating Software
- Calibration Software
- Tool Crib Control
- Engineering Analysis & Simulation
- Post Processors, Stand-Alone
- Accounting Software
- Digitizing/Scanning Systems
- Software, Other Manufacturing
- Memory Units
- Nesting Software
- Robot Controllers
- Machinability Databases
- ERP for Make-to-Order Mfg
- Machine Monitoring
- NC Program Optimization
- Tool Design
- Database Management
- ERP for Standard Mfg
- CAD/CAM Software