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Transcript of Safety Measure Presentation
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Marine Safety
Environmental
Management
Presented by Group
Adrian Novel 421 Mohammad Hafidh R 421
Alika Hidayanti 421
Faizal Satya P 421
Fahmy Faizal N 421
Safety Measures
Faculty of Marine Technology
Department of Marine Engineering
Double Degree Marine Engineering
2014
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Outlines
Introduction
Basic Theory
Safety Performance Indicators
Study Cases
Conslusion
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Introduction Every year more than 1000 marine incidents are reported.
Youcan't manage it, if you can't measure it,
It can be applied also to safety management. Man
sometimes need to base their decisions on intuition, which heto make the required decisions quickly.
Measurement is an absolute prerequisite for control, whet
the control of production quality, accidents, or any other com
an industrial system[Rouhiainen, 1990]
Safety management will probably reach its goals more easi
safety performance indicators (SPIs) are available and proper
control and guidance.
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Introduction
Safety cannot genuinely be improved only by looking to the past and taking precaut
accidents that have happened [Hollnagel, 2008].
The dynamics and pressures in the system cause changes, which may result in
unfavorable change in the risks. Such a surprising change to an increase in the num
accidents (worldwide) has been reported recently e.g. by [DNV, 2008].
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Introduction
This regulatory system, which is supported by the Safety Management Systems o
companies, is very complicated due to the many players (and stakeholders) involved,
Objective:
To prevent maritime accidents and make zero accident working on the ship
To improve safety, including safety working for the personel on the ship
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Safety Theory - General Risk is defined as a measure of the probability of a hazards related in
occurring, and the severity of harm or damage that could result. This
directed to persons (crew/passengers/others), environment (nature)
property (ships/port facilities/other). In some cases the harm may evereputation. [Manuele, 1997]
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Safety Theory - General Safety measures are activities and precautions taken to improve safety, i
risk related to human health. Common safety measures include:
General safety measures:
Ensure there is safe access
Minimise the movement and handling of materials.
Personal protective equipment should only be used after all collective and technica
been exhausted
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Safety TheoryAccidents ModelDomino theory:
One of the earliest accident models of modern times was the Domi
presented by Heinrich already in the 1930s [Heinrich, 1950].
This chain of multiple events ends up to the 16 accident and finally i
consequence, e.g. an injury. The early Domino theory has been cr
because it does not account for multiple causality [Kjellen, 2000].
Fault tree model
Fault tree models were started to be developed in the 1960s. The fau
model can be often utilized even for a quantitative risk analysis of the
probability a complicated technical system if the probabilities of the events are known.
It has been criticized for being difficult to use, see e.g. [Harms-Ringd
It may not be a suitable model for the analysis of man-machine inter
the analysis of the organization [Harms-Ringdahl, 1993].
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S f
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Safety TheoryAccidents Model Event tree model
A fault tree can often be supplemented by an event tree, which can b
as being the opposite of a fault tree. An introduction to event trees is
[Suokas et Rouhiainen, 1993].
An event tree, starts from the initiating event and then describes all th
outcomes of this. It offers possibilities to for carrying out probabilisti
of the consequences [Harms Ringdahl, 1990].
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S f t Th Ri k M d l
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Safety TheoryRisks Model Risks can be modeled using accident models as a basis, but a sufficient r
usually much more comprehensive than a pure accident model. The risk
be either descriptive, qualitative or quantitative models. It is important th
model includes at least the most important parameters and contributing
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S f t Th F l S f t A
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Safety TheoryFormal Safety Assesm Formal Safety Assessment is a risk-based, systematic and sturdy approac
management. It is a rather new methodology for rule-making, which app
scientific approach of thinking. If correctly applied, FSA applications are
transparent, traceable and repeatable.
FSA acts in a pro-active way: it should put emphasis not only on risks wh
lead to accidents, but also on risks which may have severe consequences
An ideal FSA has been characterized with the following attributes [Skjon
Well structured, systematic, comprehensive
Objective, rational
Auditable, repeatable, well documented
Defensible, reliable, robust
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S f t Th F l S f t A
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Safety Theory
Formal Safety Assesm
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S f t Th F l S f t A
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Safety Theory
Formal Safety Assesm When applied by this way, the process of carrying out a quantitative risk
and the results of it may produce very useful safety performance indicato
The reliability of these SPIs depends on the validity of the risk models a
validity data, input parameters and constant values.
It can be stated that those parameters that have the biggest effect on the o
are probably the most important safety (performance) indicators. The m
important indicators can be found by the use of sensitivity analysis. Any
these parameters will have either a favorable or unfavorable effect on the
safety (unless there is no effect at all). Thus, if there are not any changes would necessitate a change of the risk model, the most important input p
of valid risk models should be used as the safety performance indicators
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S f t P f I di t
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Safety Performance Indicators Leading and Lagging ndicators
indicators are based on a sufficient number of instances to be able to identify change over t
[Hopkins, 2008b] defines an indicator as a slope of a trend in time.A partition of leading an
indicators as before and after accident indicators, illustrated to Reasons Swiss-cheese mod
is one of the approaches to simplify and fasilitate understanding of differentials between lead
indicators.
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S f t P f I di t
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Safety Performance IndicatorsRisk contributing factors included in the marine accident database DAMA are
presented in the following table 1. Multiple/frequent/concurrent occurrences of these factors in relat
indicate an increased risk related to its operation.
Table 1 Contributing factors to maritime accidents (adopted from DAMA)
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Safety Measures
Safety Performance Indicators
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Safety Performance Indicators
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Safety Measures
Study Case Maritime Transport (PSC
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Study Case
Maritime Transport (PSCParis MoU have introduced deficiency codes, see table 5, which have been
less followed by other regimes, with the exception PSC of US Coast Guard
2006].
This coding system facilitates in finding of critical and repeating lacks, thus
system can be used as a source of performance indicators.
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Study Case Maritime Transport (PSC
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Study Case
Maritime Transport (PSC According to [Knapp, 2006] 4.9% of PSC eligible vessels that have been inspected with in last 6 m
accident. From this, two observations can be made:
enforcement of corrective actions need to be improved
correct implementation of safety management should be assured
One of the concerns pointed out by [Knapp, 2006] is that approximately 32% of PSC relevant caaccident first event in engine related areas and in the same time only 9% (Paris MoU, others the
detentions are made because of engine related areas. This concern may indicate that the efficienc
might call for some development in this area. One problem here is that the inspections are norm
only when the ships are moored or anchored.
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Study Case Maritime Transport (PSC
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Study Case
Maritime Transport (PSC
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Safety Measures
Study Case Offshore Industry
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Study Case
Offshore IndustryCurrently all three elements behind safety development (e.g. IMO, Governmental agencies and class
societys) are encouraging the offshore industry towards risk based decision making. HSE Tolerabilit
approach (Figure 17) has been adopted by most of the offshore operators [HSE, 2001].
TOR approach does not how ever force in the use of some particular risk reduction or assessment m
2001] presents a wide but non comprehensive list of methods for risk assessment.
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Study Case Offshore Industry
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Study Case
Offshore Industry Oil and Gas Procedures in its worksh
shows that their Lost Time Injury Fr
Total Recordable Incident Rate (TRI
(Figure 18.) during the 10 year period
also conclude that even though their
performance data shows improvemen
and small accidents it does not neces
reduction of major incident risk has b
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Study Case Offshore Industry
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Study Case
Offshore IndustryIn the same workshop report Statoil presented their own list of performance standards (Table 6.) tha
for producing limited number of high level performance indicators. [OGP, 2008]
Table 6 Statoil, technical performance standards, adopted from [OGP 2008]
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Study Case Offshore Industry
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Study Case
Offshore IndustryIn the same workshop report Statoil presented their own list of performance standards (Table 6.) tha
for producing limited number of high level performance indicators. [OGP, 2008]
Table 6 Statoil, technical performance standards, adopted from [OGP 2008]
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Conclusions and Recommendation
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Conclusions and Recommendation In the maritime sector the most widely used safety performance indicators seem to be lagging
indicators are most often related to the number of accidents, accident frequencies and the co
measured by the loss of life, persons injured, total losses, material damage in terms of costs an
environmental damage.
The problem with lagging safety performance indicators is the fact that the approach is reactiv
something bad must first happen to make a change in the indicator.
The problem with accidental losses might be avoided if an efficient information system based
development and use of risk models with significant leading and lagging indicators would be a
Therefore, the development of such a proactive system for the maritime sector should be star
An ideal safety information system would facilitate analysis and synthesis of data taking into a
investigation reports, accident statistics, incident reports, developments in science and trends
technology and traffic on several levels:
Global level (internationally)
Sea area (Baltic Sea)
Fleet (of a shipping company)
Ship type
Stakeholder
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References
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References SAFETY PERFORMANCE INDICATORS FOR MARITIME SAFETY MANAGEMENT
Literature review TKK-AM-9
Risto Jalonen, Kim Salmi
Helsinki University of Technology. Faculty of Engineering and Architecture.
Department of Applied Mechanics. Series AM
(http://en.wikipedia.org/wiki/Safety)
(https://osha.europa.eu/en/sector/construction/general_safety)
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http://en.wikipedia.org/wiki/Safetyhttps://osha.europa.eu/en/sector/construction/general_safetyhttps://osha.europa.eu/en/sector/construction/general_safetyhttp://en.wikipedia.org/wiki/Safety