Proceedings of the 2014 ACM International Symposium on Wearable Computers 2014
DOI: 10.1145/2634317.2634321
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A comparison of order picking assisted by head-up display (HUD), cart-mounted display (CMD), light, and paper pick list

Abstract: Wearable and contextually aware technologies have great applicability in task guidance systems. Order picking is the task of collecting items from inventory in a warehouse and sorting them for distribution; this process accounts for about 60% of the total operational costs of these warehouses. Current practice in industry includes paper pick lists and pick-bylight systems. We evaluated order picking assisted by four approaches: head-up display (HUD); cart-mounted display (CMD); pick-by-light; and paper pick li… Show more

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Cited by 73 publications
(37 citation statements)
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“…Our test results show that using pick-by-HUD can virtually eliminate errors and improve speed by approximately 30 percent over paper lists ( Figure 5). 8 In addition, the average pick time with the HUD method is a statistically significant speed improvement over pick-by-light. The pick errors with pick-by-HUD, which were fewer than with any other method, also tend to be less severe.…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…Our test results show that using pick-by-HUD can virtually eliminate errors and improve speed by approximately 30 percent over paper lists ( Figure 5). 8 In addition, the average pick time with the HUD method is a statistically significant speed improvement over pick-by-light. The pick errors with pick-by-HUD, which were fewer than with any other method, also tend to be less severe.…”
Section: Resultsmentioning
confidence: 97%
“…Using the MicroOptical SV-3 HUD resulted in significantly fewer errors than pick-by-light (p = 0.007) and paper (p = 0.018). 8 Figure 5c shows the errors for all four methods divided by specific error type.…”
Section: Errorsmentioning
confidence: 99%
“…Los operadores usan una pantalla montada en la cabeza (hmd) o gafas tecnológicamente modificadas que contienen una lente compatible con realidad aumentada y se superponen al mundo real con objetos virtuales (Haase & Beimborn, 2017;Guo et al, 2014).…”
Section: Metodologíaunclassified
“…Reif et al [20] compare a similar approach using a tunnel of circles as well as a contour highlight at the drawer to classic paper-based guidance. Another evaluation was conducted by Guo et al [9]: They compare HUD information on AR glasses and a display mounted on a cart to classic picking lights (small lamps at each drawer indicating the relevant drawers to pick from). The results of these evaluations suggest that AR-based picking guidance outperforms classic techniques.…”
Section: Picking Tasksmentioning
confidence: 99%