There are a lot of reasons why you might need to measure warehouse travel, whether you’re working on developing labor standards or you’re instituting Pay-for-Performance. The best way to go about this will depend on your warehouse’s size, the type of work in question, and other variables. Here is a look at the three top methods that are applicable to most situations.
If you want to keep things as simple as possible, the location-driven method is the best way to go about measuring warehouse travel. These systems typically award “credit” according to the number of orders, cases, lines and locations each worker performs for each process. Credit is also granted for the time needed to travel from location to location using an average figure. It’s particularly suited to smaller facilities that do not tend to have much variation when it comes to employee travel or those where travel time does not make up a significant portion of the workload.
The industry norm is Discrete Standards, where each location in the warehouse is given x, y, and z coordinates and the movements within the warehouse have optimized paths. It is these ideal paths that are used for assigning credit to the employees. While this can be fairly accurate, problems might arise in cases where a non-ideal path must be taken – say, for example, that an aisle is blocked and a different path must be used. In addition, new coordinates must be uploaded every time a new location is added.
If you’re looking for a balance between simplicity and accuracy, the Zone Travel method could be the right solution. This entails dividing a facility into dozens of zones and calculating the average distance between each one. Location Naming Conventions are then used to assign locations to the relevant zones. This method is fairly easy to set up and maintain, and adding new locations does not tend to require additional work.
When it comes to creating fair labor standards, a good system for measuring warehouse travel is vital.
This blog post was based off an article from Easy Metrics. View the original here.