NIVY Watch gathers important data about worker activities (such as steps, distance, indoor positioning, and more) that can be used to identify possible areas for enhancing employee productivity. Although this data alone can have substantial value, a correlation with production data helps to identify areas with potential for work process improvements. Ultimately, these improvements result in increased company productivity.
Let’s take a look at an example from a manufacturing company. The company has workers operating machinery producing goods. All these workers are equipped with NIVY Watches, which anonymously collect data about their activities. In this case, there’s no need for a personalized mode, as it wouldn’t benefit the analysis in any way.
The following picture shows the productivity data of a randomly picked worker during one working day. The curve increases when the worker produces goods and is flat when he or she is not producing anything.
The red line shows a worker’s productivity based on the number of goods produced during the workday.
Let’s take a closer look at the flat areas and whether there’s a way to optimize them. It’s difficult to identify reasons for insufficient production activity without having additional data describing all other worker activities.
So let’s make a correlation between the production data and the worker’s distance from his or her workplace, gained from NIVY Watch. The workplace area can be marked with a single Bluetooth beacon so that the watch can easily measure the employee’s distance from this point. The next picture shows the correlation chart.
The red line indicates the worker’s productivity. The green line shows the employee’s distance (in meters) from the workplace.
As you can see, certain flat productivity areas are correlating with a significant increase in the employee’s distance from his or her work area. One possible explanation can be that this happens when the worker runs out of essential material and needs to leave the usual work area, go to a storage rack, and retrieve new packaging material.
To get a better understanding of the situation, we collected some additional information from NIVY Watch. The storage rack is equipped with another Bluetooth beacon, and every nearby appearance of the worker (within 5 meters) is recognized and stored in the NIVY system. If we add all the worker’s occurrences at the rack to our correlation chart, we get the following picture:
The blue circles show every occurrence near the rack’s beacon.
There were seven cases throughout the day when the worker went to the rack to replenish material. Thanks to NIVY Watch, we now have important information that can be used for work process optimization and productivity improvements (e.g. moving the rack to a different place or securing enough essential material in advance).
This example shows how the correlation between production data and work activities data, gained from the NIVY Watch system, can reveal to companies hidden defects in their work processes.
For more information about NIVY Watch, visit the official product website, or contact us at nivywatch@resco.net or +421908568412.
