Research Article | OPEN ACCESS
Hazards Forecasting and Weights Determination during Operation and Maintenance of Petrol Fuel Station
1M.M. Ahmed, 1S.R.M. Kutty, 1Mohd Faris Khamidi, 1I. Othman 2P.D.D. Dominic and 2Olisa Emmanuel
1Department of Civil Engineering
2Department of Computer and Information Science, Universiti Teknologi PETRONAS (UTP), Malaysia 31750 Tronoh, Perak, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2013 6:978-982
Received: October 17, 2012 | Accepted: December 19, 2012 | Published: June 30, 2013
Abstract
Petrol Fuel Stations (PFS) is the most commonly available hazardous facility within urban and rural areas. Hazardous materials such as petrol, diesel, Compressed Natural Gas (CNG) and kerosene oil normally sell and stores at PFS. PFS can be considered as small refinery within the city. A 3.5 year study conducted and 3216 non-compliances were recorded from PFS located in various cities of Pakistan. The operating company was ISO 14001 and OHSAS 18001 certified. The recorded non-compliances during study period were categorized into 8 potential factors. These were Housekeeping (HK), Transportation Hazard (TH), Slips, Trips and Falls (STF), Carelessness (C), Fire Risks (FR), Electrical Fault (EF), Miscellaneous Cases (MC) and Medical Treatment Cases (MTC). Analytical Hierarchy Process (AHP) was used and categorized 8 factors were prioritized. The same data was further classified based upon to cause fatality, accident, incident and near miss cases. A total numbers of 14, 426, 975 and 1804, fatality, accident, incident and near miss cases were recorded. With application of Exponential Smoothing method the fatalities, accident, incident and near miss cases for the years 2011, 2012 and 2013 were forecasted. The results of AHP and forecasted hazards will be presented and discussed in this study. It is hope that the both approaches will assist health and safety professionals for future hazards predictions and hazards weights determinations. Health and safety practitioners can take remedial and preventative measures by using past data with utilization of proposed techniques.
Keywords:
Contributing factors, forecasting, hazards, safety conditions, unsafe acts and unsafe conditions,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
