Automobile (Tractor Manufacturing Company)

An American corporation specializing in the production of agricultural machinery, heavy equipment, forestry machinery, diesel engines, drivetrains for heavy equipment, and lawn care equipment. Our contribution to their operations includes the supply of over 25 machines to date.

Customer Experience & Design

Innovation & Product Management

Technology & Engineering

Industry

Automobile

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Problem Statement & Challenges Faced

With the constantly growing range of articles handled by Farm Manufacturing company, the capacity of their manually operated store was virtually exhausted.
Current storage space is 120 square meters. They wanted reduce storage space of C and D class articles and utilize for production activity.
Due to increase in models of farm equipment, Increase in rang of Articles and decrease picking accuracy due manual intervention.
This result into miss match of stock and impact on productivity.

The Solution

we installed a solution with which we could save valuable space and respond flexibly to future requirements.
First of all, the experts replaced the manually operated store with two Vstore. Because of the high total payload of each individual Vstore (up to 60 tons), these were installed in warehouse. This means the 8-meter-high Vstore use the full height of warehouse
This has reduced the overall storage area from about 120 square meters to the footprint of the lifts, which is 20 square meters, thus freeing up valuable floor space
The time-consuming “man to goods” method of the manually operated warehouse has now been replaced by “goods to man” picking at the Vstore. As a result, picking errors have been reduced significantly.
The new inventory management in conjunction with the high-speed Vstore enables high transparency along with quick and reliable access to the articles

Benefits to the customer

Customer Feedback: The modular technology of Vstore systems from CRAFTSMAN AUTOMATION enables faster product deliveries, improved stock control, minimized pick errors, efficient order picking and therefore shorter lead times.