Accession Number : ADA315738
Title : The Quantitative Risk of Oil Tanker Groundings.
Descriptive Note : Master's thesis,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE
Personal Author(s) : Amrozowicz, Michael D.
PDF Url : ADA315738
Report Date : JUN 1996
Pagination or Media Count : 124
Abstract : The culture, design, and operation of the maritime industry all contribute to create an error-inducing system. As oil tankers have become larger, the tolerance for error has decreased as the consequences have increased. Tankers are the largest contributor by vessel type to worldwide oil spill volume. Human error has consistently been attributed to 80 percent of the marine accidents. A closer look reveals that many accidents attributed to human error are system errors. In fact, the term human error is unwarranted in many high-risk accidents and its use is a perforation of the context. The maritime industry has been identified as a high risk operation, requiring an active risk management program. A probabilistic risk assessment (PRA) provides a formal process of determining the full range of possible adverse occurrences, probabilities, and expected costs for any undesirable event. A PRA can identify those areas that offer the greatest risk-reducing potential. This thesis focuses on the first level of a proposed three-level risk model to determine the probability of a tanker grounding. The approach utilizes fault trees and event trees and incorporates The Human Error Rate Prediction data to quantify individual errors. The result allows the identification of high-leverage factors in order to determine the most effective and efficient use of resources to reduce the probability of grounding; showing that the development of the Electronic Chart Display and Information System incorporated with the International Safety Management Code can significantly reduce the probability of grounding.
Descriptors : *PROBABILITY, *OIL SPILLS, *BOAT AND SHIP ACCIDENTS, *TANKER SHIPS, RISK, THESES, COSTS, FAULT TREES, MARINE TRANSPORTATION, SAFETY, OIL POLLUTION, SHIPPING.
Subject Categories : Marine Engineering
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE