Human error assessment in supply chain: case study in road transport services
Published 2020-09-12
Keywords
- human error,
- ergonomics,
- supply chain,
- road transport services
How to Cite
Copyright (c) 2020 Revista UIS Ingenierías
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Abstract
This research presents an approach from cognitive ergonomics in human error for logistics sector, particularly in the case of land freight transport. For this, the Systematic Human Error Reduction and Prediction Approach – SHERPA, and Success Likelihood Index Method - SLIM methods were applied in three companies participating. Errors were identified in the generation of the cost of the service (T1), in the entry of service data (T2), in notifying customers of the news of the service (T3) and, preparation of the documentation for the drivers (T4). Errors whose probability of occurrence ranged from 24.8% to 34.2% were quantified. The reliability of each error was determined as an independent system in which case the result for tasks T1, T2 and T3 was 80% and 75% for T4.
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References
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