Monitor Performances In Tin Can Making Machinery Production Line

Why is it important to monitor performance in Tin can making machinery production line, you might wonder? The main argument is simple – you can’t improve what you don’t measure. If you don’t have measurements or data telling you how your production is performing, it is hard to make improvements that can make your production equipment more efficient. The monitoring of a production line’s performance is relevant in all types of businesses, but mainly in the businesses where the margins are tight. In, for example, the food packaging business, where the margins are razor thin, a small increase in effectiveness can make a big difference to your bottom line.

Depending on factory and business, there are several ways to monitor the performance of a production line. In theory, the simplest way is to use pen and paper and have someone watching the production line, using a stopwatch. In reality, if you have a complex factory with many machines, this solution is not realistic for anything but a short-term test. Instead, a more suitable and also a more common solution, is to use a software-based solution. A software program delivers useful and detailed information on how your production line is doing and where there is room for improvements. The more accurate measuring method, the better your adaptions will be to improve your production line’s performance.

A scenario, for when you need to monitor the performance of your production line, could be when you know that you produce too few products, but you don’t know why. To locate the problem, you might need to measure the performance of individual machines. Let’s say your machine should produce 100 products per hour, and work with 100 percent capacity for eight hours straight. However, after analyzing the monitoring result, you discover that your machine only was active for seven out of the eight hours. The monitoring also revealed that the machine only produced 80 products per hour – and on top of that – 20 percent of the products coming out were scrap! Obviously, the machine’s performance is not what it says on paper. By conducting the analysis, you identify where the losses are coming from, which will give you an indication of what you will need to do to solve the problem.