Contributing USMA Research Unit(s)
Electrical Engineering and Computer Science
Proceedings of the 2018 ACM International Symposium on Wearable Computers
Order picking accounts for 55% of the annual $60 billion spent on warehouse operations in the United States. Reducing human-induced errors in the order fulfillment process can save warehouses and distributors significant costs. We investigate a radio-frequency identification (RFID)-based verification method wherein wearable RFID scanners, worn on the wrists, scan passive RFID tags mounted on an item’s bin as the item is picked; this method is used in conjunction with a head-up display (HUD) to guide the user to the correct item. We compare this RFID verification method to pick-to-light with button verification, pick-to-paper with barcode verification, and pick-to- paper with no verification. We find that pick-to-HUD with RFID verification enables significantly faster picking, provides the lowest error rate, and provides the lowest task workload.
Thomas, Charu; Panagiotopoulos, Theodore; Kotipalli, Pramod; Haynes, Malcolm; and Starner, Thad, "RF-Pick: Comparing Order Picking Using a HUD with Wearable RFID Verification to Traditional Pick Methods" (2018). West Point Research Papers. 69.