The Good To Person Automation System With G. Com/Kiva Case Analysis

The good to person automation system with G.Com/Kiva creates multifunctional workstations for order picking, packaging, filling and returns. As we can see in the above picture 1, the Carries move Racks or items to manual pick station by loading up to 600 kilograms and drive them for with up to 90 minutes and then it turns to the spot. The Battery can be charged at charging stations or while driving. Shelves can be customized and this creates more efficient storage and Picking i.e Space-saving buffer in front of pick station to avoid waiting times at the picking station (BLG Logistics, 2015). The Kiva Director, (2010) video describe the process that for order picking the orders drop into the station. When the worker signs on to pick and at that point the system send signals out to find all the pods that contain all of the items needs to fill the orders. The worker works on the pods
The company can use existing real estate that is difficult to automate, such as in Frankfurt very good use because the shelves fit into a normal room. Height also has the short realization time. In comparison, convinced of the conventional system and so employees were able to start up quickly after the quick and easy installation of the system. The system can be skillfully integrated into the existing system. The integrated process thus we could minimize the implementation time and minimize the conversion for our employees. Similar to G.Com another better-known pioneers of warehouse automation for warehouse distribution centers is Kiva which is widely used by Amazon. Kiva's machines go under shelves, pick them up and bring them to warehouse staff. When the employee removes the product from the shelf and places it in the shipping container, the robot returns the shelf. Sounds simple, but it is highly complex because the paths and control of the entire system need to be calculated (Kiva Director,