4.7 Article

A phase of comprehensive research to determine marine-specific EPC values in human error assessment and reduction technique

Journal

SAFETY SCIENCE
Volume 87, Issue -, Pages 63-75

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ssci.2016.03.013

Keywords

Human error; Ship safety; Error-producing conditions; Decision-making

Funding

  1. Scientific and Technological Research Council of Turkey (TUBITAK) [114M352]

Ask authors/readers for more resources

Human Error Assessment and Reduction Technique (HEART) is a well-known approach for performing critical operations in safety analysis. It has various applications in many different disciplines such as nuclear energy, railway transportation, aviation and healthcare services. In addition to identifying human error categories, determining and weighting of error-producing conditions (EPCs) is the key aspect of human reliability quantification. Although EPC values are defined specifically for some disciplines, for the maritime industry these values have not been derived yet in terms of ship operational management. The aim of this paper is to produce marine specific EPC values (m-EPCs) in accordance with an advanced methodological framework, including accident causation, weighting, decision-making consensus, and statistical validation. For these purposes, a multi-dimensional approach involving Majority Rule, HEART, HFACS, AHP, and validation techniques has been utilised. Finally, a comparison between existing EPC values (i.e. for the nuclear industry) and m-EPCs is also provided to clarify industrial safety perspectives. Furthermore, this research encourages maritime safety professionals and practitioners to perform human error predictions for various critical shipboard operations. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available