Name
Title | ||
|---|---|---|
A comparison of order picking methods augmented with weight checking error detection. |
Abstract | ||
|---|---|---|
Order picking accounts for over 50% of the annual $150 billion spent in warehouse operations in the United States. 80% of order picking is performed manually. We compare the industry default of unassisted paper-list picking and three techniques augmented with weight checking: pick-by-light, pick-by-HUD (head-up display), and a combination of light and HUD. HUD+light had the fastest picking (19% faster than paper) and a low number of errors (67% fewer than paper). |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2971763.2971773 | ISWC |
Keywords | Field | DocType |
Order Picking, Wearable Computers, Head-Up Display | Head-up display,Computer vision,Computer science,Wearable computer,Order picking,Error detection and correction,Artificial intelligence,Embedded system | Conference |
ISSN | Citations | PageRank |
1550-4816 | 3 | 0.44 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaolong Wu | 1 | 128 | 18.86 |
| Malcolm Haynes | 2 | 11 | 2.75 |
| Anhong Guo | 3 | 151 | 17.33 |
| T. Starner | 4 | 6336 | 1278.80 |