Manufacturing

Manufacturers are faced with challenges such as new entrants and international competition operating at a lower cost base and the rising costs of equipment and raw materials. In the western world therefore, manufacturers can only compete through producing high quality products in an efficient and productive manner.

Data and Analytics have the potential to help manufacturers do this. With the right measurements, you can accurately understand how your operation is performing in real time in order to maximise throughput, reduce wastage and respond to order demand.

IOT and RFID technology gives us massive data about our manufacturing process. This can be used for the purposes of predictive maintenance or optimising the performance or correctness of machines, or optimising how inventory is managed within warehouses.

Example Use Cases

Timeflow integrates with a range of websites, applications, APIs and other data sources across your business to identify and respond to key situations of interest. Examples specific to this industry include:

Example 1 – Predictive Maintainance

Machines in the factory are fitted with heat, vibration, sound and other sensors to monitor their performance. It is detected that one machine is running hotter than others and vibrating outside of the normal bounds. It is therefore automatically shut down and staff are engaged for preventative maintenance.

Example 2 – Flow Optimisation

A product moves through many stages of the manufacturing process at a regular rate. Performance of each stage gate is monitored at each time, and we observe that one station is operating slower than normal and having downstream effects on inventory. This is flagged to relevant team members.

Example 3 – Quality Control Monitoring

Products are manually and automatically quality controlled. Over time, we notice that a certain class of product is having more defects then others. Timeflow recognises this and surfaces the information to relevant team members.

Example 4 – Failure to Dispatch SLA

An urgent ‘just in time’ order is placed. After 72 hours, Timeflow identifies that the order has still not moved to shipped status, so a manual push notification is sent to the managers mobile device for investigation.