Abstract
Introduction: The current paper develops a pioneering approach to the human factors of picking operations, which are addressed from a cognitive perspective. Materials and methods: The model thus contributed is established through a qualitative methodology which, based on several theories, is articulated and applied to the real situation of a dry foods company’s semi mechanized picking operation. Results: The results combine the cognitive architecture of the operation and its relations with logistic factors, in order to decrease human error and, therefore, increase service level. Conclusion: the current model provides elements for quantitative modeling, which could include this type of factors in order to optimize the picking operation of a supply chain.
| Translated title of the contribution | Modelo cognitivo de una operación de recolección semi-mecanizada |
|---|---|
| Original language | English |
| Pages (from-to) | 39-51 |
| Number of pages | 13 |
| Journal | Revista Ciencias de la Salud |
| Volume | 16 |
| Issue number | Special Issue |
| DOIs | |
| State | Published - Jun 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Cognitive systems
- Ergonomics
- Human error
- Human factors
- Picking operation
- Qualitative analysis
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