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In need for an SMS alert system ?

If you run an automated or unmanned production you can benefit from an SMS alert system. An SMS alert system is an efficient way of alerting operators in the event of failures. The main issue in applying an SMS alert system in your production, is to preserve as much uptime as possible. Other benefits are naturally, an increased flexibility for the service personnel and  of course, the fact that you always knows what is running.

Do you think you can't afford it ?

Think again! SMS ALERT 1.0 is a windows based software that allows you to monitor up to 32 machines per module in your factory, and that is for a price everybody can afford to pay. It comes in a complete package including hardware and software. No difficult installation or configuration, just plug it in and use it. That's the philosophy.

SMS ALERT Standard Package £ 405.00 *

  SMS ALERT Complete Package £ 620.00 **

* No GSM Modem Included

** GSM Modem and accessories Included

READ MORE OR BUY SMS ALERT HERE

Machine Monitoring Without Paying a Million.

Many companies have seen the advantages of monitoring their production, either for up/down time, collection of statistical data, tool condition monitoring or simply monitoring for a 'no run' condition in order to alert service personnel. Many monitoring systems are customized, although the typical functions in these systems requested by the customers, are the same for the majority. This is keeping the price level relatively high and leaves small companies with little or no choice for a monitoring system. I have been involved in monitoring systems for a period by now and is developing systems after the 'made simple' philosophy. Simple Installation,  Simple User Interface, Very Simple Price. My aim is to present monitoring and production systems, to cover needs in the industry, but for a price that will allow small companies to benefit from this as well.

Process Control

Process Control can tell you how your machinery is running and you can ask for an estimated worst case scenario for the production time based on previous logged data.

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