merged

Developing Of Framework for Assessing the Resiliency of Vessel Traffic
Service Operations
Fakhriatul Hidayah Binti Muhamad@Mustafa
Supervisor: Mr. Mohd Hafizi Bin Said
Bachelor of Science (Nautical Science and Maritime Transport)
School of Ocean Engineering
Earlier research by Gesa Praetorius, did mention resilience system in an organization
helps bounce the disturbance and pressure in conducting daily task. Resilience itself
define as the ability to recover quickly or to spring back from difficulties or toughness
after deformation caused by compressive stress. Resilience Engineering (RE) system or
resilience system also defined as capacity of a material to absorb energy when experience
stress (recover). RE are built up by four basic principles (monitor, respond, anticipate and
learning) which compulsory steps in resilience system. Consequently, less effort has gone
into looking at Vessel Traffic System (VTS) organization system on how they cope with
challenge, stress and disturbance. Hence, this research emphasizes resilience system in
VTS organization based on cornerstone of RE principle (monitor, respond, anticipate and
learn) as well as describing how RE system able to regain and maintain their performance
with continuous stress of daily operation. system function. Secondly, to determine the
performance variability towards resilience system within VTS. However, the main purpose
of this research is to suggest developing of a resilience framework that assessing
resiliency in VTS daily for a better VTS operations, by using combination method,
Functional Resonance Analysis Method (FRAM) and Resilience Assessment Grid (RAG) to
assess the potential for Resilient Performance within Vessel Traffic Service operations.
The research which is expected that the functional model (FRAM) shows that, a lot of the
potential variability seems to lie on functions that rely heavily on human-machine
interaction and every VTS services are related to each other. It also shows that work
within VTS is a high complex daily operation which prove that every situation or condition
handled affects the resilience system ability in monitor, respond, anticipate as well as
learning the condition for upcoming high risk related situation in future.
Keywords-Vessel traffic service, resilience, operator, Functional Resonance Analysis
Method, Resilience Assessment Grid
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