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.





ESSENTIAL READING
VIEW ALLBlueprints to Chips: CAD/CAM Tips and Tricks
This collection of articles delves into the latest CAD/CAM innovations, from AI-driven automation and optimized tool paths to the impact of digital twins and system requirements.
Read More4 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.
Read MoreHow 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)
WatchTop Shops Are Data-Driven by Definition
CNC machine shops at various stages of digitalizing their operations share a commitment to evidence-backed decision-making.
Read MoreMonitoring Machine Tools? Don’t Discount DNC
Networks that feed part programs to shopfloor CNCs can double as a foundation for pulling data from them.
Read MoreLatest Data-Driven Manufacturing News And Updates
Precision Shop Adopts Machine Monitoring, Boosts Revenue
Adopting machine monitoring helped LeClaire Manufacturing boost its vertical CNC utilization rates 38 percentage points and gain millions in revenue.
Read MoreJIMTOF 2024 Report: EVs, AI and Autonomous Robots Abound
The 2024 Japan International Machine Tool Fair (JIMTOF) showed how the manufacturing industry is adapting to the needs of electric vehicle manufacturing and adopting new technology including AI and autonomous robots.
Read MoreSiemens Intelligent Link Model Provides Automation Data Transparency
Siemens’ Sirius 3RC7 intelligent link module combines IT and OT for complete industrial automation data transparency.
Read MoreQuickbase Work Management Software Provides Comprehensive Monitoring
Quickbase’s Work Management platform features a suite of pre-built applications, templates and AI-powered app building capabilities to connect teams, machines and workflows.
Read MoreFour 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?
Read MoreVericut 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.
Read MoreFeatured Posts
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.
Read MoreAI, Data and the Digital Manufacturing Future
AI has the potential to reshape manufacturing software — but first, it will require data.
Read MoreProShop 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.
Read MoreProtecting Your Automation Investments
Shops need to look at their people, processes and technology to get the most of out their automation systems.
Read More5 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.
Read MoreManufacturer, 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.
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