Human error probability analysis of overhead crane operation in steel fabrication company using SLIM-DEMATEL-ANP method
| Autor: | Fais Hamzah, Denny Dermawan, Muhammad Shah, Lukman Handoko, Annisya Arumy Nurdiawati, Haidar Natsir Amrullah, Am Maisarah Disrinama |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Fabrication Computer science lcsh:TA1-2040 0502 economics and business 05 social sciences 0202 electrical engineering electronic engineering information engineering Human error probability 020201 artificial intelligence & image processing 02 engineering and technology Overhead crane lcsh:Engineering (General). Civil engineering (General) Reliability engineering |
| Zdroj: | MATEC Web of Conferences, Vol 204, p 05012 (2018) |
| Popis: | The accident record from a steel fabrication company in 2014-2017 shows that the most frequent accidents take place in overhead crane operation with a percentage of 42%. The overhead crane operation has the greatest potential of accidents with human error as the main cause. The purpose of this study is to determine what factors affect the occurrence of errors, to know how much HEPs, and to determine recommendations. The method used in this research is Success Likelihood Index Method (SLIM) with qualitative development using Decision Making Trial and Evaluation Laboratory (DEMATEL) which aims to establish the relationship among PSFs to be an easily comprehensible structured model by considering expert judgements and to solve dependency in a set of criteria. Analytic Network Process (ANP) is used to overcome the inconsistency of expert judgements and difficulty in selection and weighting. The calculation and analysis reveal that the highest Human Error Probability (HEP) value is shown by the task to handling or lifting with the value 0.000485. Impact assessment using the HEP value to determine probability and consequence is performed by expert judgements. Improvement recommendations are prioritized for high rating error tasks using Error Reduction Analysis. |
| Databáze: | OpenAIRE |
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