AU Manufacturing

JUNE 4, 2025

Technology company Siemens has partnered with Sachsenmilch Leppersdorf GmbH to implement an artificial intelligence-powered predictive maintenance system at one of Europe’s most advanced milk processing plants. She added that further development of Siemens’ Maintenance Copilot Senseye is expected to support evolving maintenance needs.

Beverage 52

Beverage Artificial Intelligence Automation Manufacturing 52

Gary Mintchell

JUNE 11, 2024

Fluke Reliability partners with Verusen to Drive Predictive Maintenance and Inventory Optimization The new trend for 2024 involves spreading applications from the factory floor specifically to maintenance and repair and parts. Here is a partnership designed to enhance spare parts inventory plus predictive maintenance.

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Function Automation Manufacturing 130

Gary Mintchell

FEBRUARY 20, 2024

Predictive maintenance seems to be one logical place where finding more powerful computation can be supportive. Here is news about using GenerativeAI for enhancing a predictive maintenance solution. New generative AI functionality in Senseye Predictive Maintenance makes predictive maintenance conversational.

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Artificial Intelligence Function Manufacturing 130

Gary Mintchell

MARCH 28, 2025

Siemens is developing a full suite of copilots to industrial-grade standards for the discrete and process manufacturing industries and is now strengthening its Industrial Copilot offerings with the launch of an advanced maintenance solution, designed to redefine industrial maintenance strategies.

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Value chain Function Process manufacturing Automation 130

i4.0 today

APRIL 14, 2025

The use of ML algorithms and AI allows functions such as prediction of potential failures, optimization of maintenance schedules, and recommendation of actions. The post Predictive Maintenance Solution appeared first on i4.0 This ensures preventive interventions for trouble-free operation of the production plant.

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Automation Function Manufacturing Industry 4.0 52

Control.com

AUGUST 23, 2024

No doubt you have heard all about the use cases of AI and predictive maintenance. Learn about the algorithms that are actually used to provide analysis and insights based on industrial data sets.

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Gary Mintchell

DECEMBER 18, 2024

The devil is in the data – harnessing AI and predictive technologies to drive resilience in an era of connectivity These year-end predictions stories always seemed like some sort of journalist fill-in piece to me. I seldom did them as a magazine editor. Although I have written two so far for other publications. Its a win-win.

Supply Chain 130

Supply Chain Artificial Intelligence Automation Manufacturing 130

Design World

JANUARY 18, 2024

Wear interrupts the board’s conductor […] The post New igus Smart Fixed Flange Bearings unlock predictive maintenance appeared first on Design World. Constructed from self-lubricating, high-performance plastic, the bearings feature an integrated abrasion sensor, thin circuit board, and cableless battery supply.

Manufacturing 130

Manufacturing 130

Control.com

AUGUST 20, 2024

Predicting when maintenance should occur isn’t simply a matter of getting on board with the latest trend, it can save many thousands of dollars in lost downtime and unnecessary parts and labor.

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Automation World

OCTOBER 24, 2022

The Festo Automation Experience (AX) is an artificial intelligence platform for predictive quality, predictive maintenance, and energy optimization.

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Artificial Intelligence Energy Optimization Automation 289

Control.com

MAY 13, 2025

The new QM30VT3 sensor series from Banner Engineering features 3-axis vibration monitoring, making the shift from reactive to predictive maintenance simple.

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Gary Mintchell

APRIL 14, 2025

ATS), a leading industrial maintenance, technology and parts services provider. The collaboration integrates Verusens AI platform with ATSs deep industrial maintenance and reliability expertise to deliver technology-driven solutions for manufacturers.

Supply Chain 130

Supply Chain Artificial Intelligence Lead Time Manufacturing 130

Automation World

APRIL 2, 2025

Manufacturers in the food and beverage industry who successfully adopt AI will see the biggest benefits from the careful combination of computer vision for improved quality control and machine learning for predictive maintenance.

Beverage 260

Beverage Manufacturing 260

Gary Mintchell

FEBRUARY 6, 2025

The combined solution will provide customers in the oil and gas, chemicals, cement, power, and renewable energy industries with a seamless and powerful approach to optimize plant operations, reliability, and maintenance. The post AI-Powered Asset Performance Management appeared first on The Manufacturing Connection.

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Automation Manufacturing 130

Automation World

JUNE 24, 2024

With device management software, reliability teams gain real-time visibility into the health and configuration of plant devices, facilitating predictive maintenance.

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Automation World

OCTOBER 4, 2022

Using a CNC milling machine to showcase the functions of its analytics software, Beckhoff explained the software’s use for applications ranging from predictive maintenance to remote viewing of a machine’s operating parameters.

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Function 272

ATS

JANUARY 8, 2025

Share Improving maintenance efficiency and effectiveness requires discipline and organization. Whiteboards, cards and spreadsheets may have had their place, but manufacturers who are serious about improving their competitive position should look to one tool, a computerized maintenance management system (CMMS).

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Function Compliance Fit Form 98

Automation World

DECEMBER 8, 2022

To improve predictive maintenance, quality assurance, and cybersecurity at its Amberg, Germany, factory, Siemens has created a cloud-native, modular architecture using Red Hat OpenShift.

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Automation World

JANUARY 27, 2023

With its new AWS Supply Chain and Monitron predictive maintenance products, Amazon extends its reach into the industrial marketplace.

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Supply Chain 258

ATS

JANUARY 13, 2025

Often, machine troubleshooting is regarded as an art rather than an essential maintenance technician skill. This blog outlines a structured approach to maintenance troubleshooting. When any of these occur a maintenance request is raised and a Work Order assigned to a technician.

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Form Function Manufacturing Sourcing 95

Manufacturing Tomorrow

MAY 23, 2025

Author is Dayton Palen, CEM, LEED GA

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Dinesh Mishra

JUNE 16, 2025

Huge amounts of data are being generated every day, which can be leveraged by AI for predictive maintenance, recognizing inconsistencies in production processes, and for faster & more accurate decision-making. AI agents are a boon to manufacturing as they automate procedures, increase productivity, and lower operating expenses.

Overall Equipment Effectiveness (OEE) 76

Overall Equipment Effectiveness (OEE) Manufacturing Robotics Robotics 76

Robotics Automation News

APRIL 20, 2025

More and more airlines and aircraft Maintenance, Repair and Overhaul (MRO) […] Research by McKinsey shows that investments in digital twin technologies will rise to more than $48 billion by 2026 around the world.

Logistics 52

Logistics Manufacturing 52

Automation World

APRIL 10, 2025

Now the focus turns to scaling this connectivity for predictive maintenance, process optimization and energy monitoring with help from AI. Manufacturers have spent years adding sensors to lay the groundwork for digital transformation and data-driven decision making.

Manufacturing 182

Manufacturing 182

Design World

FEBRUARY 27, 2024

Predictive maintenance,… The post Trends in artificial intelligence for 2024 appeared first on Design World. However, only up to 5% have deployed AI to production. Companies know that generative AI can dramatically improve operations, but inexperience and potential risks postpone the benefits.

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Artificial Intelligence 211

ATS

JUNE 5, 2025

Even in the most efficient plants, certain factors can create gaps between scheduled production time and actual production time: Equipment breakdowns : Machines that haven’t undergone routine preventive maintenance may fail during production runs, resulting in unexpected downtime.

Manufacturing 59

Manufacturing Overall Equipment Effectiveness (OEE) Compliance Lean manufacturing 59

Automation World

JULY 21, 2023

Maximizing uptime and reducing maintenance costs are primary goals for Honeywell by adding Compressor Control’s proprietary performance analytics, optimization algorithms and predictive health analysis to Honeywell's Forge Performance+.

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Mold Making Technology

FEBRUARY 4, 2025

. “Progressive developed the first off-the-shelf lifter and modular cam mechanisms, and this addition of the OMNI Versa Slide product line represents a continued dedication to standards to make mold design, mold building and mold maintenance more efficient and predictable,” says Glenn Starkey, president of Progressive Components.

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Fit Sourcing 98

Robotics Business Review

FEBRUARY 8, 2025

The organizations said they expect the integration of AI in manufacturing to grow, with new applications emerging in areas such as predictive maintenance, autonomous decision-making, and real-time process optimization. These innovations will enhance the efficiency and flexibility of production operations even further.

Robotics 123

Robotics Robotics Artificial Intelligence Automation 123

Automation World

JULY 17, 2023

IoT Analytics found the technology’s use to be most prevalent in prediction, system and product simulation, interoperability, maintenance and visualization. Digital twin technology is a flexible technology that can be used in many ways.

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ATS

JUNE 11, 2025

Even more worrisome is that 80% of facilities are unable to accurately predict total downtime, meaning they’re forced to react after failures happen rather than staying ahead of the problem. Graphing this curve can help manufacturers better predict failures and identify optimal timelines for maintenance. What is a P-F curve?

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Function Compliance Manufacturing Form 52

i4.0 today

JUNE 6, 2025

Fluke Reliability and Treon today announced a strategic partnership to help customers shift from reactive to predictive maintenance outcomes that elevate industrial asset performance.

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Automation World

MARCH 20, 2025

How manufacturers use data analytics, AI-powered vision inspection systems, augmented reality, and digital twins for applications ranging from OEE improvements to predictive maintenance to create more flexible production operations.

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Manufacturing 147

Robotics Business Review

FEBRUARY 23, 2025

Modular design meets the maintenance challenge I’m often asked about maintenance. The key to effective maintenance lies in modular design. Well-engineered systems allow for quick component replacement and updates, minimizing downtime and simplifying maintenance procedures. Given the complexity of humanoids.

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Robotics Robotics Form Artificial Intelligence 124

Automation Mag

MARCH 7, 2025

TD: I n the short term, the most likely use case for AI in the motion controls space is predictive maintenance. While there have been questions surrounding the feasibility of predictive maintenance in recent years, the advent of AI will accelerate it becoming a reality.

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Supply Chain Automation Robotics Robotics 85