A systems engineering framework for integration of cognitive ergonomics in smart factory configurations

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Authors
Drankoff, Lauren
Bommer, Sharon
Issue Date
2020-06
Type
Article
Language
en_US
Keywords
Smart factories , Manufacturing industry , Cognitive ergonomics , Human performance , Multitasking , Injury prevention , Human-systems integration , D-E-J-I systems engineering model
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Abstract

The current manufacturing industry is increasingly compelling manufacturing firms to turn to technology to improve operations. A relatively unexplored area is the role that cognitive ergonomics with the effective implementation of technology has on smart factory configurations. The manufacturing industry continues to increase the information processing content operators engage in (i.e., multitasking) to perform their work tasks. Cognitive ergonomics are known predictors of preventing injuries and accidents in industry and drive towards improving work conditions, human performance, safety, and avoiding human errors. Cognitive ergonomics evaluates the interaction of the human operator with the task they are performing and their mental capabilities. Although these principles are currently being explored in manufacturing, it is still uncertain how cognitive ergonomics can be applied to smart factory configurations. A smart factory combines technology to create a network that has the capability to communicate and act independently to advance manufacturing systems further. Smart factories can assist people and machines by interacting with the environment surrounding to make tasks more comfortable and more efficient. By investigating current literature on cognitive ergonomics, the goal of this work is to pave the way for further research into human-systems integration of technology implementation in smart factory configurations. The technology methods discussed will seek to aid the human operator in the decision-making process throughout their work task. Also, a framework is developed for the integration of cognitive ergonomics in smart factory configurations using the D-E-J-I systems engineering model. In summary, this paper aims to investigate how current cognitive ergonomic principles can be utilized to support the effective implementation of technology to aid the human operator in smart factory configurations.

Description
Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.
Citation
Drankoff, L., & Bommer, S., PhD. (2020). A systems engineering framework for integration of cognitive ergonomics in smart factory configurations. Journal of Management & Engineering Integration, 13(1), 53-62. https://doi.org/10.62704/10057/24745
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Association for Industry, Engineering and Management Systems (AIEMS)
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ISSN
1939-7984
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