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Title:

A Systemic Modeling of Ground Handling Services Using the Functional Resonance Analysis Method

Accession Number:

01592864

Record Type:

Component

Abstract:

In contrast to air transport safety, safety in ground handling is not concerned only with aircraft accidents but also the Occupational Health and Safety of the employees who work at airport aprons. Ground handling safety costs the aviation industry tens of billions USD every year which raises the questions about the effectiveness of linear safety risk management of Ground Handling Services (GHS). This paper uses the state-of-the-art safety theory to justify and highlight the need for a systemic approach to safety risk management of GHS on the apron. A methodology, based on the Functional Resonance Analysis Method (FRAM), was developed to support systemic safety modelling of GHS, called the Total Apron Safety Management (TASM). Using a historical safety occurrence as a case study, the TASM model was applied to demonstrate the benefits of the systemic as opposed to the existing linear approaches to retrospective safety analyses. The results of the investigation carried out in this paper clearly demonstrate the suitability of the TASM model, based on the FRAM method, for occurrence analysis and prevention.

Supplemental Notes:

This paper was sponsored by TRB committee AV090 Standing Committee on Aviation Security and Emergency Management.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-5666

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Studic, Milena
Majumdar, Arnab
Schuster, Wolfgang
Ochieng, Washington Y

Pagination:

16p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Web

Features:

Figures; References (70) ; Tables

Subject Areas:

Aviation; Operations and Traffic Management; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-5666

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:28PM