Azin Setayesh's research while affiliated with Ryerson University and other places

Publications (3)

Article
This paper presents a comparison of four common Human Reliability Assessment (HRA) models through a scoping literature review and sensitivity analysis. The scoping literature review identified 72 relevant studies which formed the basis of the comparison. Studies reported the four selected models have similarities in terms of the sector of origin, a...
Article
Order picking (OP) is a time- and labour-intensive operation in which human-system errors can lead to deficiencies in quality. This study aimed to identify human factors-related failure modes that cause human-system errors and quality deficits in OP. We conducted a systematic literature review and qualitative interviews with 38 order pickers employ...
Article
Human error in manual assembly systems affects system reliability, safety and it is one of the most important causes of quality defects. Many researchers have developed methods for Human Reliability Analysis (HRA) with the aim of identifying, modeling, quantifying and reducing human error, mainly in safety-critical industries. This paper addresses...

Citations

... The authors also found that several factors moderate the relationship between movements and visual attention, such as the complexity of the visual context and mobile phone usage that both further reduce visual attention during movements. These results may be of relevance for order picking, where movements during item selection and the use of assistive devices may reduce the visual attention of order pickers, increasing the chance of pick errors (see Setayesh et al. (2021) for an overview of pick errors). ...
... Following a defined and rigorous protocol, a systematic literature review (SLR) allows a critical and reproducible evaluation of relevant studies to answer formulated research questions. A SLR, based on the methodology proposed by (Bayonne, Marin-Garcia & Alfalla-Luque, 2020;Di Pasquale, Miranda, Neumann & Setayesh, 2018), has been conducted to understand how the use of AR, VR, and MR in manufacturing systems affects worker's performance. ...