This thesis is based on an industry project with Teekay Shipping Co ., which is an
international transportation service provider for oil companies, refiners and traders.
Teekay is interested in knowing which factors contribute most to its operating incidents
and accidents. Based on available data, namely vessel name, team, type, hull, and age, as
well as incident and accident records, we quantified in this thesis the effects of these
factors on the incident and accident frequency. The thesis presented the technical details
of the Poisson regression analysis, which we used for quantifying the risk factors.
Teekay is also interested in having a consistent method to present Teekay's overall risk
picture, and to indicate best investment areas for its risk reducing purpose. Teekay has
already implemented an Online Root Cause Analyses (ORCA) system, which collects the
direct cause and root cause soon after an incident happens. We reviewed the ORCA
system and made suggestions about certain parts of the system which were subsequently
revised. Furthermore, we designed a bubble chart tool to present the overall risk faced by
Teekay. The bubble chart tool has the capacity to indicate best investment areas clearly,
and it is consistent over time, thereby enabling Teekay to evaluate easily the risk
mitigation effect of its earlier investment in risk management.
Finally, we designed a continuous monitoring tool, which allows Teekay managers to
interactively explore the relationships among near misses, incidents and accidents, and to
compare event frequencies of various vessel groups, such as vessel team, age, type and
hull structure. The powerful continuous monitoring tool provides Teekay managers a full-
range view of the risks the company faces. The design and the sample usage of this
continuous monitoring tool are discussed in this thesis. / Business, Sauder School of / Graduate
| Identifer | oai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/15437 |
| Date | 05 1900 |
| Creators | Chen, Shengyuan |
| Source Sets | University of British Columbia |
| Language | English |
| Detected Language | English |
| Type | Text, Thesis/Dissertation |
| Format | 2938759 bytes, application/pdf |
| Rights | For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. |
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