Dr. Martin Ziarati¹ Prof. Dr. Reza Ziarati² ¹Centre For factories of The Future ²TUDEV Institute...

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Developing scenarios based on Real Emergency Situations

Dr. Martin Ziarati¹Prof. Dr. Reza Ziarati²

¹Centre For factories of The Future²TUDEV Institute of Maritime Studies

IMLA 19 – 28th September – 1st October 2011 – Opatija/Rijeka, Croatia

IMO MSC 82 Meeting – Role of Human factors in accidents at sea

Deficiencies in maritime education and training for training seafarers for emergency situations

Lack of training in Full mission simulation in emergency situation

Necessity of E-Learning platform for emergency situation

Background research

M’aider (Mayday) Project (Maritime Aids Development for Emergency Responses)

M’aider project will improve safety at sea and ports with a set of training courses based on intelligent scenarios developed for application in full mission simulators as well as in e-learning environment

Introduction

• To improve safety at sea and at ports by identifying emergency situations known so far and create knowledge-based scenarios for training of seafarers at officer level and higher ranks.

• To develop intelligent exercises based on scenarios created for application in full mission simulators.

• To transfer the knowledge that already exists in the form of a software suite together with an existing internet e-learning/assessment to integrate the scenarios

Project Aims

1. C4FF, Centre for factories of the Future Ltd,education, training and research company ,U.K.

2. Strathclyde University , dpt of Naval Architecture and Marine Engineering, U.K.

3. TUDEV, Maritime Training centre, Turkey4. MIWB, Maritime Instituut Willem Barentz, Maritime

Higher education institution, Netherlands5. LMA, Lithuanian Maritime Academy, Maritime Higher

educational institution, Lithuania6. Spinaker d.o.o Maritime VET and adult education

provider, SME, Slovenia7. IDEC S.A, Maritime Training centre, Greece

Project Partners

The most frequent emergency situations are identified and

analysed

Maritime Accident Investigation Branch (MAIB) accidents

case database is analysed

Gaps and needs of current seafarers and students training

are identified

A Questionnaire developed

Real case scenarios into Bridge simulator training

programmes as well as for e-learning platform are selected

and implemented

Course development

Course development

Methodology

•Analysis of accident reports

•Analysis of the results of the questionnaire

•Select real accident emergency scenarios

Create scenarios for application on bridge training

and full mission bridge simulators

MAIB (Maritime Accident Investigation Branch) Database Research

Analyse of MAIB Database of incidents

Source : MAIB Database of between 01-01-1991 and 31-12-2009

Locations most accidents occured

Source : MAIB Database of between 01-01-1991 and 31-12-2009

Coastal waters36%

Port/harbour area29%

River/canal21%

High seas13%

Non-tidal waters1%

Location of Incident

Vessels most involved in accidents

Source : MAIB Database of between 01-01-1991 and 31-12-2009

Type of Accidents Merchant Vessels involved

Source : MAIB Database of between 01-01-1991 and 31-12-2009

Human Factors in collisions

Source : MAIB Database of between 01-01-1991 and 31-12-2009

Human Factors in Collisions

Source : MAIB Database of between 01-01-1991 and 31-12-2009

88% Human factors

Underlying factors

- Unawareness of situation - Poor decision making - Inattention

Human errors

- Incorrect or insufficient action taken

- Speed or heading not altered

Leading to

Leading to

Underlying sub factors

- Bad performance of people - Bad System crew - Bad Company and organisation

Analysis MAIB Data Base

Data base of reports of accidents involving UK Flag ships.

The accident scenario

Leading to

Perfect Scenario chosen upon MAIB Database research

The perfect incident training scenario will contain the following:

Incident Location: coastal waters

Incident type: collision

Vessel type:

Passenger/ ro-ro ferry

Questionnaire Results

Methodology used

Methodology of WP 2

·Analysis of accident reports

·Analysis of the results of the questionnaire

·Select real accident emergency scenarios

Methodology of WP 2

·Analysis of accident reports

·Analysis of the results of the questionnaire

·Select real accident emergency scenarios

Create scenarios for application on bridge training as well as on full-mission simulators.

Participants involvement in incidents

0 10 20 30 40 50 60 70

Near collision, close quaters situation, or collision with another vessel

Close contact, collsion, with shore structures

Near grounding, or collsion

Close contact or collision or collision in port

Fire on board ship

Machinery failure

Don't know

None

Count

128

62

Reasons why seafarers involved in accidents

0 5 10 15 20 25 30 35 40 45 50

Leaving or entering a harbour

Rough weather

Passing through a channel

Poor look out

Low visibility

Poor passage planning

Failure with communication equipment

Main engine room failure

Steering failure

Poor manning

High density of traffic

No collsion or near collsion experience

Don't know

Other

Count

Chosen emergency case scenarios

8 emergency real case scenarios were chosen for implementation on bridge simulators and on e-learning platformImplementation of a scenario for seafarer training. The scenario was based on a real accidentScot Isles / Wadi Halfa , which happened in 2008 in Dover Strait.

M’aider scenario sample based on real accidents

Click video to initiate scenario simulation between Scot Isles and Wadi Halfa

Click video to see the test between Scot Isles and Wadi Halfa

M’aider test sample based on real accident

• What is being done is the transformation of several accident investigation reports into a set of scenarios based on real life cases.

• It is expected that there will be less accidents and incidents which can be very costly in human life, injuries caused and in loss of property.

• The project will also help MET institutions who do not have access to the full- mission simulators by being able to use the e-learning exercises which can be used instead of the full-mission simulator scenarios or to complement them

Conclusion

More Information about M’aider at:

www.maider.pro and

www.c4ff.co.uk

M’aider Project