ATS

MARCH 26, 2024

As the volume of data grows, businesses are increasingly using AI to handle the output from condition monitoring sensors to determine when maintenance work is needed. Each shaft and bearing has a characteristic vibration signature that can be used to monitor machine health.

Pharmaceutical 52

Pharmaceutical Manufacturing Industry 4.0 Industry 4.0 52

ATS

APRIL 5, 2024

Share Predictive maintenance minimizes machine downtime while extending life and reducing costs but requires data about their health and activity. This blog is about the machine data collection process. It discusses the types of machine data acquired, how a system operates and how it can be used. What is machine data?

Manufacturing 59

Manufacturing Manufacturing Execution System (MES) Bottleneck Cycle time 59

ATS

APRIL 5, 2024

This blog explains what a process control plan is and why every manufacturer should use one. Higher first-time yields reduce material consumption, and machines have more capacity as they spend less time creating defects or working on defective product. Notice how this links to capability of the process and to machine condition.

Process control 59

Process control Function Compliance Manufacturing 59

ATS

MARCH 20, 2024

This blog dives into the subject of manufacturing optimization. Preventing scrap improves utilization of material and machines. The OEE metric provides a start point, but it’s helpful to go deeper by looking at factors such as labor, material, machine and even energy utilization.

Standard Operating Procedure (SOP) 59

Standard Operating Procedure (SOP) Bottleneck Manufacturing Cycle time 59

ATS

MARCH 8, 2024

This blog looks at the role of data collection sensors in modern manufacturing and how that data is stored and acted on. Focusing on sensors that can support machine and equipment maintenance, it considers the role of sensor data analytics in guiding decisions affecting machine lifetime, reliability and availability.

Artificial Intelligence 52

Artificial Intelligence Automation Form Function 52

ATS

MARCH 18, 2024

This means using technologies like vibration monitoring and temperature sensing, plus advanced analytics software tools to anticipate maintenance needs and schedule work for periods that have the least impact on production. This blog reviews the maintenance challenges in aircraft part manufacturing.

Manufacturing 52

Manufacturing Overall Equipment Effectiveness (OEE) Aerospace Additive manufacturing 52

Cisco Industrial Automation

APRIL 27, 2022

No monitoring. Automate deployment and monitoring. For more ways to improve operational efficiency with Cisco Cyber Vision, read this blog. Machines on different lines typically don’t need to communicate, for example, and keeping them in different segments prevents an infection on one line from spreading to the other.

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ATS

JANUARY 24, 2024

This blog introduces soft sensor technology so readers can consider how and where they should be used. Soft sensors have a different role to that of machine monitoring sensors. The latter provide information on equipment health, condition and performance, and are used to drive advanced preventive maintenance strategies.

Manufacturing 52

Manufacturing Process control Form Sourcing 52

ATS

JANUARY 31, 2024

This blog offers some guidance with an emphasis on what can be one of the biggest and most complex areas: maintenance. These overhead costs encompass all the expenditures necessary to run production but that cannot be tied directly to the items coming off the production lines or machines. What is manufacturing overhead?

Manufacturing 52

Manufacturing Industry 4.0 Industry 4.0 Activity-based costing 52

ATS

NOVEMBER 15, 2023

Thanks to the integration of AI and IIoT technologies, machines can now predict impending failures with remarkable accuracy. AI allows machines to make decisions based on real-time data leading to improved production processes, or even bringing about entirely new production methodologies.

Artificial Intelligence 52

Artificial Intelligence Industry 4.0 Industry 4.0 Smart manufacturing 52

ATS

JUNE 23, 2023

IIoT technology and the connected infrastructure of sensors, monitors and communications technology are behind safety improvements in maintenance and inspection, helping to detect potential equipment problems before they lead to the kinds of catastrophic failures that can put operators and other personnel at risk.

Manufacturing 52

Manufacturing Industry 4.0 Industry 4.0 Artificial Intelligence 52

ATS

FEBRUARY 9, 2024

This blog answers the question, “What is high-tech manufacturing?” From the steam engine to electrical power to computer-controlled machines, each has enabled step-change improvements in productivity, efficiency and quality. Contamination must be excluded, and documentation and record-keeping are often mandatory.

Manufacturing 59

Manufacturing Industry 4.0 Industry 4.0 Supply Chain 59

ATS

DECEMBER 4, 2023

This blog explains how work order forms for maintenance drive the system that cares for plant assets. This happens particularly for scheduled or routine work such as that needed as part of a preventative maintenance strategy, to support predictive maintenance services or in response to condition monitoring signals.

Form 52

Form Function Value chain Automation 52

Infinite Uptime

JULY 6, 2022

While condition-based monitoring has seen wide adoption to support digital transformation initiatives in cement manufacturing, predictive maintenance is shaping to be the next big thing. Condition-based Monitoring (CBM) in the Cement Industry. Thus, routine manual check-ups are sometimes impossible.

Compliance 52

Compliance Manufacturing 52

ATS

OCTOBER 7, 2022

There are numerous types of sensors that can be put to use in an industrial setting, measuring various factors while maintaining the common threads of real-time monitoring, data tracking, and early detection and alert of potential issues. First, we will further explore some background information on IoT environmental monitoring sensors.

Manufacturing 52

Manufacturing Function 52

ATS

JUNE 29, 2023

With applications in ambient environment monitoring, air quality monitoring and equipment performance tracking, industrial humidity sensors play a key role in any comprehensive predictive maintenance approach. Read on to learn how. What is a humidity sensor? What is a humidity sensor?

Pharmaceutical 52

Pharmaceutical Benchmarking Manufacturing Aerospace 52

ATS

NOVEMBER 27, 2023

Using condition monitoring in sustainability applications We’ve mentioned that upgrading your maintenance operations can help with your company’s sustainability, but how is that possible? Most companies achieve this through a machine condition monitoring system , which is a condition-based monitoring system.

Artificial Intelligence 52

Artificial Intelligence Supply Chain Logistics Manufacturing 52

ATS

NOVEMBER 28, 2023

This blog will discuss what asset performance management is, how to optimize it, ways to optimize your assets today and some major benefits revolving around these upgrades. For instance, you can look at the throughput of your machines, final quality of your product and measured downtime of any equipment.

Automation 59

Automation Manufacturing 59

ATS

MAY 15, 2023

Share Industrial environmental air quality sensors measure the presence of contaminants in the ambient environment, along with several other measurement functions: Temperature Pressure Humidity Gas resistance Why is air quality monitoring a critical concern in industrial facilities? What do air quality sensors test for? PM10, PM100 and more.

Automotive 52

Automotive Function Manufacturing 52

ATS

JULY 7, 2023

Industrial pressure sensors are a key component of the real-time equipment condition and performance monitoring processes that enable predictive maintenance, one of the most effective ways to increase cost efficiency in the facility. The means of measurement is the same, via a physical apparatus reacting to pressure differentials.

Benchmarking 52

Benchmarking Form Composites Compliance 52

ATS

OCTOBER 24, 2023

In this blog, we’ll examine the change that’s underway and the key technologies driving it. Variation leads to scrap, and machine breakdowns result in delivery delays and higher-than-expected costs. Today machines can be outfitted with a host of sensors to report on every aspect of their health.

Manufacturing 59

Manufacturing Artificial Intelligence 3D printing Lean manufacturing 59

ATS

FEBRUARY 29, 2024

This blog describes the DFMEA process and explains its contribution to asset management. Regardless of whether the design is for a one-off, a custom production machine or line, or for a series of machines to be sold in quantity, a DFMEA will improve reliability and safety while reducing product variability. What is DFMEA?

Form 59

Form Function Manufacturing Prototype  59

Factory Worx

AUGUST 3, 2022

Read Our Blog. asset management, remote monitoring, predictive maintenance, and the total optimisation of assets present both difficulties and opportunities. In this blog, we will check out the influence of manufacturing 4.0 Machine learning algorithms can compute potential outcomes for future scenarios using assets.

Industry 4.0 105

Industry 4.0 Industry 4.0 Artificial Intelligence Logistics 105

ATS

FEBRUARY 29, 2024

Manufacturers use it proactively to avoid unplanned machine downtime, maintain consistent levels of quality and prevent accidents. After introducing the methodology, this blog discusses when and how it should be followed. PFMEA is a structured process for identifying risks and defining and prioritizing preventive actions.

Standard Operating Procedure (SOP) 52

Standard Operating Procedure (SOP) Manufacturing Form Process control 52

ATS

FEBRUARY 20, 2023

These include: Machine maintenance: AI can make a major impact on maintenance processes throughout the organization, and AI in predictive maintenance is likely the area that can yield the greatest benefit. Uses of AI in manufacturing There are numerous applications of AI in manufacturing.

Artificial Intelligence 98

Artificial Intelligence Manufacturing Pharmaceutical Automation 98

Infinite Uptime

JUNE 16, 2022

It reduces the risk of downtime & loss due to machine failure and reduces overall maintenance & spare part costs of high capital-intensive machinery. Remote monitoring of equipment at far-off locations. Worker health & safety remains a big concern in the mining industry due to the difficult working conditions.

Function 52

Function Industry 4.0 Industry 4.0 Manufacturing 52

ATS

FEBRUARY 15, 2023

In this blog, we will examine the current and future impact of AI in pharma manufacturing. Predictive maintenance using AI and machine learning can help to maximize the lifecycle of systems and equipment while also improving key efficiency and productivity metrics such as mean time between failure (MTTF).

Pharmaceutical 52

Pharmaceutical Manufacturing Supply Chain Sourcing 52

ATS

OCTOBER 11, 2023

AI’s ability to analyze and process vast amounts of data is helping industries streamline operations, improve efficiency and maintain optimal asset conditions. Through advanced AI and machine learning algorithms potential equipment failures can be forecasted before they occur.

Artificial Intelligence 52

Artificial Intelligence Bottleneck Manufacturing 52

ATS

OCTOBER 30, 2023

On critical equipment conditions, monitoring is increasingly common, using sensors to detect abnormalities in particular key components. This differs from training, which is specific to particular machines and types of equipment. Air conditioning and chiller systems are the main examples.

Manufacturing 52

Manufacturing Function 52

ATS

AUGUST 8, 2023

Failure Reporting: Under a FRACAS system, any failure condition that occurs throughout the facility, whether part of a process, machine, component or system, must be reported in a standardized way. If not effective, the steps taken should be adjusted or further monitored to pursue value and benefits.

Compliance 52

Compliance Manufacturing 52

Infinite Uptime

APRIL 7, 2022

Machine availability and reliability being the top concern in steel production, the cost of secondary damages of such breakdowns can be astronomical. The intermediate products in the process undergo both chemical and mechanical changes, making monitoring quality and output more difficult. Expensive coal & raw materials.

Manufacturing 52

Manufacturing Form 52

ATS

SEPTEMBER 1, 2023

Inputs can consist of nearly any measurable condition of a piece of equipment, such as valves, switches, monitors and sensors. For example, the input may detect whether a switch is in an on or off position, whether a temperature monitor is above or below a certain measurement, or whether a valve is indicating a certain flow rate.

Manufacturing 52

Manufacturing Function Automation Form 52

Marshall Wolf Automation

APRIL 4, 2023

The WD system allows you to obtain real-time statuses and monitor your equipment remotely. It enables wireless data acquisition of your equipment, regardless of the machine age or model! WD Transmitter The transmitter attaches to the signal tower to wirelessly transmit machine status data to the WD receiver.

Automation 52

Automation 52

Infinite Uptime

MAY 10, 2022

The average machine age in a cement plant is at least 30-40 years. . Every machine – big or small – has the power to bring the whole process to a complete standstill. . . These three facts establish that proactive machine maintenance in cement plants is critical to remain profitable and scale efficiently.

Function 52

Function Automation Industry 4.0 Industry 4.0 52

ATS

JULY 7, 2023

implementation and technology focused on condition monitoring and predictive maintenance for improving your overall operational efficiency. View all resources Blog What is Reshoring in Manufacturing? These requirements draw from a range of automation technology, Industry 4.0 At ATS, we offer expertise in Industry 4.0

Manufacturing 52

Manufacturing Industry 4.0 Industry 4.0 Robotics 52

ATS

MARCH 3, 2023

These include: Machine & part inspection: Smart glasses can help make machine and part inspection processes more accurate and efficient. For example, smart glasses might display a particular component in proper working condition, enabling the technician to compare the part being inspected as if the two were side by side.

Manufacturing 52

Manufacturing Pharmaceutical Artificial Intelligence Additive manufacturing 52

ATS

DECEMBER 6, 2022

These applications can include: Predictive maintenance modules: With machine performance sensors on hand, technicians can employ apps that make it easier than ever to track condition monitoring metrics and present alerts in real-time. Supply chain monitoring: Drawing on Industry 4.0 View all resources.

Industry 4.0 52

Industry 4.0 Industry 4.0 Manufacturing Manufacturing Execution System (MES) 52