Predictive maintenance (PdM) is a proactive maintenance approach known for its ability to optimize maintenance and asset management operations, reduce downtime, improve machine performance, reduce costs, and enable data-driven decision-making. However, before you can reap the benefits, you must successfully integrate predictive maintenance into your facility's process structure, which will require an upfront investment in equipment, software, personnel training, and stakeholder buy-in. Nevertheless, predictive maintenance will deliver the results you hoped for with a well-planned implementation project combined with ongoing training, monitoring, and management. For those implementing or upgrading PdM strategies, this article provides key recommendations for developing a comprehensive...

If your current maintenance strategy relies heavily on guesswork, your company could find itself unprepared to deal with unexpected machine failures and expensive repairs. If you’re managing mission-critical equipment, reducing the number of unknowns involved in maintenance planning and budgeting is essential, especially when guesswork and uncertainty can expose you to increased financial and operational risks.  This is where being proactive can make all the difference. Predictive Maintenance (PdM) is a type of condition-based monitoring (CBM) that monitors and diagnoses mechanical failures using machine-level sensors, Internet of Things (IoT) technology, and advanced data analytics. PdM can detect early signs of...

Reliability managers who are utilizing Industry 4.0 technologies and best practices to achieve high production levels and lower maintenance costs are likely to be aware of the advantages of predictive maintenance. A predictive maintenance model can generate significant benefits in the right circumstances, giving you accurate outcomes by using the rightmaintenance strategy, the right tools, and the right  implementation. Today we will discuss how organizations can maximize their cost savings and uptime by ensuring that their computerized maintenance management system (CMMS) is fully optimized. We'll also highlight how LLumin’s powerful and unique CMMS+ delivers the necessary features and functionalities to...

Outdated and inefficient maintenance strategies can reduce machine productivity and lead to increased downtime. Unfortunately, planned and unplanned maintenance downtime can cause significant financial loss. Next-generation predictive maintenance anomaly detection can improve a company’s maintenance strategies and asset availability.  Anomaly detection is central to predictive maintenance. Its primary goal is detecting anomalies in working equipment early on and alerting facility management to perform necessary maintenance. Predictive maintenance provides several benefits, including allowing companies to extend the useful life of their assets, avoid unplanned downtime, and reduce planned downtime.  Today we will discuss why anomaly detection is a core function of...

The manufacturing industry is facing new challenges due to a combination of economic forces, labor shortages, disruptions caused by advanced technologies, and rising competitive and regulatory standards. Implementing a cost-effective predictive maintenance model can be the difference between a company staying competitive or falling behind. Maintenance and engineering managers can benefit from using a predictive maintenance (PdM) model in several ways, including avoiding costly asset breakdowns, unplanned downtime, and overdoing preventative maintenance, which can lead to increased operational costs and decreased productivity. Today, we will discuss the predictive maintenance cost savings to be expected from implementing LLumin’s powerful and competitively...

Predictive maintenance companies are essential pillars of Industry 4.0—a new stage of the manufacturing industry built on intelligent solutions and automation. Still, these technologies only became a practical reality a decade ago. We are still seeing new players emerging within the predictive maintenance scene—leaders, laggards, and those in between. Predictive maintenance integrates hardware and software, creating an intelligent facility, one that is proactive rather than reactive. Because predictive maintenance companies are innovative, transformative, and newly emergent, finding the right solution for your organization will require research. What Are Predictive Maintenance Companies and Why Are They So Popular? "In the environment...

Moving to a predictive maintenance (PdM) approach can appear complex and costly, but it does not have to be. A step-by-step strategy combined with the correct software solution can make this a simple procedure that yields tremendous rewards. However, it is critical that you do not seek to transform your whole maintenance model into a predictive maintenance operation all at once. If you're just starting, running a pilot focused on one department or work cell, especially one that consists of business-critical machinery and equipment, is crucial. Then, based on the initial trial results, you will be able to adjust your...

Updated on June 13, 2023 A decade ago, predictive maintenance was relegated to only the most advanced global enterprises. Today, advancements in cloud computing, sensor-driven technologies, and high-speed networks have made predictive maintenance accessible to everyone. Still, McKinsey notes that many organizations are faltering regarding implementation.Let’s discuss some of the top benefits of predictive maintenance and what keeps companies from reaping the benefits. What Is Predictive Maintenance and How Does It Work? Predictive maintenance uses data gathered from sensors, algorithms, and historical data to anticipate equipment failures. By analyzing past performance and trends, predictive maintenance can help you proactively schedule...

Facility success or failure often depends on the ability to minimize costs while maintaining asset performance, and to repair assets quickly when necessary. However, accomplishing this is easier said than done—especially for facilities that attempt to maintain a manual maintenance program. When an asset requires repairs or maintenance, the appropriate personnel must be alerted, replacement components must be ordered (if not already available), and any maintenance work should incur minimal facility or asset downtime. Determining when an asset requires replacement and preparing for that eventuality presents an additional challenge. Asset service life varies considerably based on the application, frequency of...

According to Deloitte, predictive maintenance lowers maintenance costs by 25%. It further reduces breakdowns by 70% and increases productivity by 25%. So, it’s unsurprising that predictive maintenance technologies are revolutionizing the maintenance management industry. Predictive maintenance is more than just a technology—it’s an entirely new approach to maintenance management. By using machine-level data and predictive analytics, organizations identify potential problems before they occur. Predictive maintenance empowers organizations to engage in proactive maintenance strategies and preventative measures. There are two primary components to predictive maintenance technologies Hardware and sensors used to collect machine-level data. Software – Solutions used to analyze that...