Human Error Probability of Grinding Operation in Fabrication and Construction Company Using Fuzzy HEART Method

DOI

10.2991/icoemis-19.2019.17How to use a DOI?

Keywords

Fuzzy HEART, Human Error, Human Reliability Assessment.

Abstract

The accident record from the construction and fabrication company in 2015 until 2018 shows that the highest accident rate is in grinding operation with a percentage of 26%. The main accidents was caused by human error with a percentage 66.67%. This study aims to determine HEPs (Human Error Probabilities) to find out the highest cause of an error, to minimize human error potential, and to determine recommendations. This research determine the HEP values by using HEART (Human Error Assessment and Reduction Technique) method. Fuzzy linguistic approach was integrated on APOA (Assessed Proportion of Affect) determination in order to reduce the expert judgment subjectivity and inconsistency. The calculation result and analysis reveal that the highest Human Error Probabilities (HEP) value is 0.71324 which is shown by the task check the condition of safety guard or protector. Reducing the risk factor and focusing on the main cause of accident are determined by using Impact Assessment to get the risk rating of error and possible error. Some recommendations are given and prioritized based on high rating of error using Error Reduction Analysis.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mila Ariefiani
AU  - Lukman Handoko
AU  - Haidar Natsir Amrullah
AU  - Luqman Ashari
AU  - Muhammad Shah
AU  - Fais Hamzah
PY  - 2019/11
DA  - 2019/11
TI  - Human Error Probability of Grinding Operation in Fabrication and Construction Company Using Fuzzy HEART Method
BT  - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
PB  - Atlantis Press
SP  - 118
EP  - 125
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoemis-19.2019.17
DO  - 10.2991/icoemis-19.2019.17
ID  - Ariefiani2019/11
ER  -