In large-scale manufacturing, every mistake can be really costly. The MES systems can help prevent them, but this is just a fraction of its possibilities. How can the manufacturing units limit their operating costs with different functions of MES?
All modern factories are partially automatized. The management systems that involve automation have become a standard a long time ago, bringing the factories’ productivity to new heights without involving additional staff. Depending on the system, the functionalities might vary. Which has the largest impact on cost-effectiveness? Let’s take a closer look at this issue.
What is MES?
MES (Manufacturing Execution System) is a type of software that combines different technologies to streamline processes of production management. It enables manufacturing companies to collect real-time information about the machinery and all the processes on the assembly line. The system puts them together to provide the manufacturer with an overview and generate reports that will later serve for planning and introducing innovations.
How can MES contribute to savings with the help of predictive algorithms?
Manufacturing Execution System and Downtimes Prevention with Predictive Analytics
Downtimes are costly – every company that has experienced at least one will confirm it. In the case of large manufacturing units, every single minute of downtime may cost the company hundreds of thousands of dollars or euros. Let’s not forget that after relaunching the assembly line, it may take a few days to achieve the previous quality. That often causes significant loss since the products cannot be introduced to the market. That’s why preventing downtimes is essential for the financial safety of the factory.
The MES backed with predictive analytics tools can monitor the real-time data and identify the anomalies before they have any impact on the assembly line, and point out machinery close to the end of its useful life.
MES and Demand Forecasting with Predictive Analytics
Overproduction can compromise the factory’s financial safety. In the current market landscape, the fluctuations of demand may be really intense, causing manufacturers to lose money. The excessive amount of goods requires storage, plus many products may lose their qualities with time, generating a financial loss. Predictive algorithms trained with historical data can scan the real-time market conditions to estimate the demand.
That’s only the tip of the iceberg – the manufacturing execution system can do much more than that! It’s worth choosing a flexible provider that allows you to customize the system based on the company’s changing needs.
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