Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Pascal Held for a login account.
| This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.nl. |
|
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | Symposium Series on Computational Intelligence (SSCI) |
| Number: | 978-1-4799-7560-0/15 |
| Year: | 2015 |
| Pages: | 1838-1843 |
| Publisher: | IEEE |
| Location: | Cape Town |
| Organization: | IEEE |
| DOI: | 10.1109/SSCI.2015.256 |
| Abstract: | This work aims to scrutinise a proprietary dataset containing major accidents occurred in high-technology facilities, in order to disclose relevant features and indicate a path to the recognition of the genesis of human errors. The application of a tailored Hierarchical Agglomerative Clustering method, using the bray-curtis dissimilarity and two different linkage functions – complete and average – will provide means to understand data and identify key similarities among accidents. Significant interfaces between human factors, the organisational environment and the technology will be described. Main clustering results have shown that accidents featuring communication issues and interface problems were grouped together, and turned out to be the most deadly ones, considering the fatality rate. Another cluster highlighted relevant training shortcomings. Also, design failures, poor quality control and inadequate task allocation were identified as key contributing factors to major accidents. Conclusions to improve the human performance based on these clustering results are then discussed. |
| Keywords: | |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
|
Attachments
|
|
|
Notes
|
|
|
|
|
|
Topics
|
|
|
|
|