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Share Effective troubleshooting is vital for driving down unplanned downtime and minimizing Mean Time to Repair (MTTR). Often, machine troubleshooting is regarded as an art rather than an essential maintenance technician skill. This blog outlines a structured approach to maintenance troubleshooting.
This blog takes a close look at CMMS software. Modern systems provide a mobile CMMS interface, so technicians can call up asset records while at the machine, request assistance and submit updates in real time. In this way, downtime, planned and unplanned, is reduced, and savings are made in maintenance work.
Unplanned boiler downtime will disrupt production and has the potential to be very costly. This blog explains what’s needed and why. Cost savings: Preventive maintenance minimizes unplanned downtime of both the boiler itself and the processes for which it supplies steam.
With experienced and knowledgeable people in these positions, industrial workplaces can prevent unexpected downtime, maintain high levels of productivity and ensure a safe environment for workers. Communication and reporting: Supervisors must be able to keep management updated on maintenance KPIs such as downtime and repair costs.
Share Industrial maintenance is about more than fixing machines. Its about building a culture of shared responsibility and operational excellence that helps improve efficiency, reduce downtime and keep staff motivated. Managing parts inventories : Mitigating downtime means having parts on hand for repairs. The caveat?
This blog post covers key roles in industrial field maintenance, discusses field service management, looks at the role of technology in improving effectiveness and considers the challenges and benefits of running an efficient field service operation. Share Field maintenance refers to performing maintenance work on remote assets.
When stocked with the right MRO parts , organized effectively and monitored through reliable storeroom reports, a storeroom can help minimize downtime, optimize costs and improve overall asset reliability. Employing zoning strategies : Grouping parts based on their function or machine usage streamlines picking processes.
From an industrial maintenance perspective, those that matter most are the machines and other equipment used to make what the business sells. This blog was written to help maintenance and other managers understand how to implement and maximize the value they get from this tool. What is an asset register? Contact us to learn more.
Share The ability of a machine, line or system to perform at the required level throughout its life is largely “baked-in” when it’s designed. Reliability availability maintainability analysis (RAM analysis) is a tool for first optimizing equipment durability and performance and then for identifying ways of making improvements.
Pareto analysis is a tool for prioritizing efforts in terms of scale of impact or size of benefits. A Pareto analysis is often displayed as a bar chart and it’s widely used in quality, maintenance and lean manufacturing. In almost every plant a few pieces of equipment are responsible for most of the unplanned downtime.
Share The level of increasingly sophisticated analysis made possible by machine learning algorithms and AI has been gradually improving maintenance standards across the industry as a whole. Machine learning is no longer a far-fetched dream but a reality for manufacturing. Let’s dive in!
This blog explains what the term means and introduces the technology involved. Remote” in this context refers to the person acquiring or using data from a machine not being physically present at the machine. After covering some of the many applications, it wraps up by detailing the biggest benefits of remote monitoring systems.
It allows machine health monitoring using IIoT, streamlining the process and increasing efficiency. In this blog, we’ll share why IIoT machine monitoring is useful and how it can help you? But what is machine monitoring or condition monitoring? Machine monitoring is the modern way of plant maintenance.
The 6 M’s are prompts that support effective problem analysis. Preventive maintenance aims to drive down unplanned downtime, although predictive maintenance, when sensors report on machine health, promises a bigger impact on OEE. Machine condition and maintenance emerge as factors in many root cause analysis efforts.
This uses machine health monitoring techniques to prevent equipment failures by optimizing delivery of maintenance services. Operational waste Any time machines aren’t running at full speed to produce what customers want, there is operational waste. The main culprits are inefficient processes and machinedowntime.
Share Introduction to criticality analysis Manufacturers with a mandate to reduce downtime on the factory floor and improve their operational efficiency find it best to employ criticality analysis to help them prioritize maintenance tasks. What is criticality analysis? With DFMEA , you focus on the product design process.
High levels of machine uptime indicate high productivity and efficiency. Just because a machine or line is available, it doesn’t mean that it’s running or “up.” This blog was written to help manufacturers identify opportunities to improve machinery uptime. What is machine uptime?
This blog is the third in this three-part series, bringing a lens on process automation monitoring, dissecting the application flow and a little detail on why the serving wireless medium must behave in a particular way to support it. This third blog covers the last of our 3 use-cases: 1) Mobile robots and AGV. Cisco Solutions.
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. Downtime can be planned or unplanned.
Share Machine maintenance is an expense that eats into margins. This blog explores the value of adopting this strategy, what’s involved in implementation and the benefits to be expected. If any of these go down unexpectedly, other machines will quickly be idled, bringing production to a halt and wasting raw materials.
This is especially true when it comes to downtime caused by unexpected equipment failures. Manufacturers have a lot riding on their ability to keep their systems functioning smoothly, which is why so many of them have invested in machine health monitoring. Share Surprises are rarely a good thing in manufacturing. technologies.
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.
A failure reporting analysis and corrective action system — known as a FRACAS — can help organizations to extract value from failure scenarios, analyze why they occur and take further action toward reducing and avoiding them. In this section, we will explore each part of FRACAS: failure reporting analysis and corrective action system.
Because prevention is often the best cure, it’s necessary for operators to understand what causes machine failures in the first place so they can take steps to keep them from happening. Read on to learn more about what causes machines to malfunction and what can be done to prevent downtime.
These are two challenges, both of which can be addressed by a single tool: manufacturing capacity analysis. This blog explores capacity analysis, and the related subject of manufacturing capacity planning. For a single machine, capacity is the number of minutes in the time period, divided by the part rate at full speed.
Share Predictive maintenance minimizes machinedowntime 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.
By turning the raw operational data of both new IoT-enabled machines and older “legacy” equipment into actionable insights, a virtual factory allows manufacturers to make proactive informed decisions, reducing downtime and boosting productivity. Machine learning and data collection At the heart of a virtual factory is machine learning.
This blog starts out by asking, what is TEEP? It’s not directly a maintenance metric, but maintenance — planned and unplanned — factors into it, along with every other reason for machine stoppage. It considers downtime and periods where machinery is idle, identifying opportunities to increase production, utilization and efficiency.
Downtime must be minimized, and when maintenance work is undertaken, care and precision are essential. 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.
This blog reviews the importance of conveyor maintenance and identifies some useful tools and techniques. Machine health monitoring for conveyor belt systems Regular inspections are an important part of conveyor belt maintenance, but they can leave a long period between when a problem arises and when it’s discovered.
Share When machines were run by operators, often, the first warning of an impending problem was when they heard an unusual sound, felt a strange vibration, or smelled an unfamiliar odor. Vibration analysis is one of the oldest types of condition-based monitoring and is effective for detecting tool damage or bearing faults.
Share Predictive maintenance is a strategy where machine health monitoring is used to look for signs of impending failure. This avoids doing preventive maintenance work that is either unnecessary or done too often, so increasing machine availability. This blog discusses the benefits of moving to mobile enterprise asset management.
Thanks to the integration of AI and IIoT technologies, machines can now predict impending failures with remarkable accuracy. This results in scheduled maintenance at convenient times and drastically reduces downtime and associated costs. Ways artificial intelligence in impacting IIoT Predictive maintenance In Industry 4.0,
Condition monitoring gives real-time machine working conditions via alerts and allows the maintenance team to take action when the problem is detected. In the cement industry, CBM performs vibration analysis of rotating equipment, oil, grease analysis, thickness measurement of kiln shell and chimney ducting, etc.,
In addition to software that collects and collates data for analysis, machine sensors and the Industrial Internet of Things have made it possible for machines to communicate with operators and each other. This creates potentially billions of data points to be observed and analyzed at any given time.
This blog explains how to implement predictive maintenance, starting with a small-scale demonstration. Choose Assets to Test: It’s vital to select an area or group of machines that will show off the benefits of predictive maintenance. Is there an opportunity to make this a predictive maintenance machine learning pilot project?
This blog explores what it takes to perform a time and motion study in the manufacturing industry. Covering preparation, the study, data analysis and implementation of improvements, it guides the reader through putting this tool to work. A time and motion study is a systematic analysis of a repetitive human task.
The MES helps stakeholders at every level of the organization to better achieve objectives and outcomes by providing a link from ERP-level planning to machine-level data and control. Operating as a data collection, analysis and management platform, the MES leverages Industry 4.0 How does an MES work?
Yet all manufacturers everywhere share a common enemy: Unplanned Downtime, which harms productivity, asset health, brand reputation & dotted line. Every year, top fortune 500 manufacturing enterprises lose almost 1 trillion to unplanned downtime, nearly 8% of their annual revenue. Once an anomaly (w.r.t
This blog answers the questions, “What is emergency maintenance and what’s involved in planning for it?” Many machines and devices are able to send alerts when a breakdown has occurred. This is where equipment is instrumented with sensors that monitor various aspects of machine health. What is emergency maintenance?
From product quality to delivery performance to costs and cash flow, unscheduled downtime wreaks havoc on plans and budgets. This blog explains what that is and how it helps. As a roadmap, maturity model analysis shows managers what they need to do to make maintenance a competitive strength.
This blog is about ways of measuring maintenance performance. Maintenance affects output because unreliable machines create unplanned downtime and lost production. They link to output goals, and include uptime, downtime, OEE and Mean Time Between Failure (MTBF). The key is to link them to business goals.
This blog explores why maintenance budget planning is important. If production runs more hours than in previous years to meet increased demand, machines will need more maintenance. This helps avoid unplanned downtime, and the amount of PM performed will rise as machines run longer.
Manufacturers use it proactively to avoid unplanned machinedowntime, maintain consistent levels of quality and prevent accidents. After introducing the methodology, this blog discusses when and how it should be followed. More often though, the failure mode analysis process is performed before any history exists.
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