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.

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