Computerized Immediate Feedback Increases Product Recall Efficiency Due to Interlocking Contingencies in Food Manufacturing

Goomas, Dave; Ludwig, Timothy D.

doi:10.1080/01608061.2016.1267067

Cited by 6 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In environments such as a dairy manufacturing plant, there are multiple wash‐downs of the production room, and thus, the floors are often wet and slippery. Nevertheless, Goomas (2012) and Goomas and Ludwig (2017, 2021) reported increased accuracy and productivity in these environments due to technology improvements. In a harsh environment working in a freezer warehouse picking cases of ice cream, Goomas and Yeow (2010) and Yeow and Goomas (2014) reported increased accuracy and productivity using a voice‐directed application and handheld scanners, respectively.…”

Section: Introductionmentioning

confidence: 99%

Ergonomic improvement using natural language processing for voice‐directed order selection in large industrial settings

Goomas,

Ludwig

2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

This field study examined the automatic speech recognition (ASR) of voice‐directed computerized systems for order selectors employed in large industrial settings (e.g., fulfillment centers, distribution centers, warehouses, and manufacturing plants). Voice‐directed systems for order selection require selectors to listen to instructions via a headset and speak into a microphone, directing each worker to select products for store orders throughout the facility. Originally, ASR used voice recognition that required “voice enrollment” (voice setup) for each worker plus a trainer's time required as part of the setup. Voice setup generally averaged about 60 min for both the worker and the trainer. Lately, a newer technology now utilizes “speech recognition,” which eliminates voice enrollment altogether. This study measured order selector voice setup times between voice recognition and speech recognition in five facilities. In two distribution centers where speech recognition was implemented, all voice setup hours for all order selectors (n = 55) plus the trainer's time were eliminated. This amounted to a total savings of 110 h. Moreover, using speech recognition becomes a recurring saving for each new employee entering the organization. Now the focus of training is shifted from voice setup to immediately training workers to select orders via voice, an ergonomic improvement.

show abstract