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Understanding & Using M-SCAT for Marine Incident Investigations

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Date/Time
Date(s) - 09/11/2021 - 10/11/2021
10:00 am - 2:00 pm

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For further information, please contact:
Vassilia Dimitrakou, Senior Academy Advisor
Maritime Academy Hellas
Tel.: + 30 210 4100200
Email: [email protected]
[email protected]
Register here

A COURSE IN Live Virtual Classroom

The Marine Systematic Cause Analysis Technique (M-SCAT) is a powerful tool that supports the rigorous investigation of an incident or near miss and ensures that the basic causes of the incident are understood and appropriate management system improvements are identified (controls) to prevent reoccurrence.
The M-SCAT tool is the maritime version of the SCAT which finds its origins in DNV’s loss causation model and the ISRS framework. www.isrs.net.

This workshop will help all M-SCAT users to find the right inferences and thus make an accurate root cause analysis of incidents by effectively using the M-SCAT poster and M-SCAT App.

Emphasis will be given on:

  • Introduction to M-SCAT and understanding the M-SCAT Model
  • Evidence and Evidence Collection
  • Understanding the “Barrier” Model (Swiss cheese Model)
  • Analyzing different scenarios through case studies
  • Clarification of common misconceptions

Objectives:

To enable participants to learn from maritime accidents and near misses and quickly identify the corrective actions necessary to prevent similar events in the future, using DNV’s Marine Systematic Cause Analysis Technique (M-SCAT).

Important information for successful course completion:

  • This course will be conducted online, therefore an internet connection is required.
  • Participants are required to communicate and interact verbally, visually and in written form throughout the training course since the interaction between the trainer and participants is important for successful course completion.
  • A connected camera, microphone, or audio headset during the course always enhances the quality of training.

Enrolment Deadline: November 1st

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