Adopting higher levels of material handling system technology (whether mechanized, semi-automated or fully automated) means taking manual labor and the human factor out of the DC whenever the technology can do the job with greater efficiency, safety, and/or accuracy at a justifiable cost.
As an example – manual picking using paper pick tickets may yield only 60 to 100 picks per hour. Whereas picking rates of 300 to 600 per hour, with accuracy rates approaching 99.9% are possible using more advanced picking methods such as pick/pack-to-light, RF and/or voice systems. This is especially true when combined with semi-automated product-to-person “put” systems (see “Put Systems Provide A 3X Increase in Order Fulfillment”).
Factors That Drive Automation
For many distributors the need to move high volumes is further complicated by the requirement for same day picking and shipping. This is a characteristic of the E-Commerce market which has led to higher adoption of material handling automation across both B2B & B2C market segments. In this case, deployment of automated case picking (ACP) technology is the only practical way to satisfy customer requirements for same day picking and shipping.
However, for other distributors there are human and environmental factors that drive the move to higher levels of automation, such as taking workers out of a freezer environment or out of a noisy and/or hazardous workplace.
In congested urban areas with high land costs the decision to build up to the maximum allowable building height is often the driver for utilizing an automated storage and retrieval system (AS/RS), or Narrow Aisle Reach Trucks, vertical carousals, or other emerging space saving technologies.
And, for high value items prone to pilferage, robotic picking solutions make perfect business sense and economic cents as well.
Ergonomics and OSHA regulations can play an important role in the decision to automate. For example: Semi-automated horizontal and vertical carousels, as well as vertical lift modules (VLMs) present work to picking operators in the “golden zone” reducing the fatigue factor and increasing productivity.
When the job involves a lot of heavy lifting and repetitive motions, such as building pallet loads, using robots instead of manually building these loads is one of the biggest factors driving adoption, especially where more than one work shift per day is normal.
|