With the introduction of manufacturing analytics, manufacturers can maximize the productivity of their workforce, as well as improve the quality of their end products. Using real-time equipment and process monitoring, manufacturers can reduce unplanned downtime and optimize job standards for more accurate cycle times.
Predictive maintenance
One benefit of manufacturing analytics and a helpful tool for increasing machinery efficiency is predictive maintenance. Additionally, it lessens downtime. Manufacturers can schedule maintenance and repairs in advance, thanks to predictive maintenance.
Predictive maintenance is based on real-time data from sensors mounted on machines. Often, sensors measure temperature, vibration, noise, and other anomalies that can affect the device’s health. These sensors communicate with a central condition monitoring system.
Manufacturers can also collect data on equipment performance and holdups in the production line. When this information is combined with historical data, a deeper trend analysis can be performed.
Predictive maintenance is a way for manufacturers to detect potential problems before they become expensive or disastrous. It can help pinpoint issues with complex machinery. Whether or not a machine fails, early detection can save the company from downtime.
Having a reliable predictive maintenance solution can dramatically reduce maintenance costs. Moreover, it can ensure that the machine’s lifetime is extended. And it can also improve customer satisfaction.
Unlike preventive maintenance, predictive maintenance uses artificial intelligence (AI) to analyze the condition of an asset in real-time. As a result, it can provide timely minor repairs that extend the machine’s life.
Real-time equipment & process monitoring
Manufacturing data and process monitoring is a tool that can improve your company’s bottom line. Whether you’re looking to optimize energy use or manage product defects, real-time data analytics can make your business operations run more smoothly.
Data analytics are already driving growth in manufacturing in several ways. Some of these include increased productivity, more effective utilization of resources, and better quality control. However, not all businesses are successful with data and process monitoring.
One of the reasons for this is that many businesses need help to organize and interpret data efficiently and accurately. For example, manufacturers may be able to measure their equipment’s overall performance but need to pinpoint the root cause of problems. With the help of data analytics, managers can analyze equipment performance, identify trends, and pinpoint issues with machinery. It helps them ensure that maintenance is carried out correctly.
A manufacturing dashboard can put critical information in front of you when you need it most. It visually represents critical metrics and alarms on a unified platform. The dashboard also provides troubleshooting information for abnormalities.
Improved quality of a company’s end product
Manufacturing analytics can maximize productivity, improve quality and reduce the time it takes to get from A to B. There are several techniques to choose from, and manufacturers can pick one that suits their needs. It could include machine learning, edge computing, and predictive analytics.
Although data is collected from all sorts of sources, the best method is to gather the information via automated tools. The main benefit is that you can get to your data more efficiently, which is a big plus. Another plus is that your employees can immediately make the necessary changes to the production line.
Statistical analysis is also a must, as this can help you find bottlenecks and decrease the costs of equipment failures. It can also be used to show you the way to optimize your process. By doing this, you will be able to produce the highest quality products in the shortest amount of time.
A good manufacturing analytics solution will give you the tools and the knowledge to make a winning business case. The McKinsey report estimates that 60% of all manufacturing processes could be automatically implemented.
Minimize unplanned downtime
If you are a manufacturing organization, you need to minimize unplanned downtime. These interruptions can affect your production schedules, lead to lost productivity, and decrease profitability. In addition, unplanned downtime can increase your risk for many issues, including accidents, injuries, and faulty products.
To minimize downtime, you need to identify the best sources, then monitor and manage the process. You can do this by tracking downtime events. It will help you know how your methods work and who is causing problems.
Predictive maintenance, asset performance management, and monitoring production processes can all help to reduce downtime. It can result in lower costs and less risk.
Many things, including human error and machine failure, can cause downtime. The best way to prevent these breakdowns is to invest in technology to control and manage them.
For example, you can use an asset performance management tool to track and analyze the health of your machines. It will provide direct access to equipment and employees and help you identify downtime causes.
Optimize job standards to ensure accurate cycle times
In a manufacturing environment, having a streamlined process is more efficient than the alternative. It is because there are fewer steps to complete each task, which minimizes the need to move materials around. Moreover, it is possible to speed up a slow process by sequencing tasks in parallel. Similarly, a sound route card will ensure that resources are adequately distributed throughout the operation.
A manufacturing analytics platform like Deskera can help you keep track of these relevant manufacturing data points. Its real-time insights into your processes will provide you with a clear view of your team’s performance at any moment. The platform can also display basic timeline instructions, alarm mechanisms, and other intelligent features that improve operational efficiency.
One of the biggest challenges for most manufacturers is keeping track of inventory stock. You need a reliable way to measure your inventory and determine how much material you can use for a particular operation. You can increase productivity, reduce waste, and save on material costs by leveraging guided analytics.
