Bayesian network for order picker burden factor estimation considering individual differences

Recently, order picking, which is the most labour-intensive task in warehouse, has promoted the introduction of automated guided vehicles (AGVs). Most studies on human factors in order picking using AGVs have focused on the physical workload (PWL) of the worker, called the picker, but it is also imp...

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Bibliographic Details
Main Authors: Yurika Ono, Aya Ishigaki, Seiko Taki, Aya Saito
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:SICE Journal of Control, Measurement, and System Integration
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Online Access:http://dx.doi.org/10.1080/18824889.2025.2491170
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