Maritime Risk and Organizational Learning

Manuel, Michael Ekow

doi:10.1201/9781315593937

Cited by 7 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As in other domains, demands are normally responded to through changes both in technology and organisation. Examples of such change within the maritime domain include, but are not limited to, the increase of the volume and size of vessels through the past decade [41], the introduction and integration of decision support tools such as the AIS and electronic chart displays, into one standardised system [27], and the introduction of safety management systems [29,40]. However, although these improvements are often introduced to increase the safety within the maritime transport system, they have generally been used to increase the overall productivity, counteracting their initial safety effect with the consequence of inducing incidents and accidents rather than preventing them completely [32].…”

Section: Introductionmentioning

confidence: 99%

Modelling Vessel Traffic Service to understand resilience in everyday operations

Praetorius

Hollnagel

Dahlman

2015

Reliability Engineering & System Safety

103

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Modelling Vessel Traffic Service to understand resilience in everyday operations

Praetorius

Hollnagel

Dahlman

2015

Reliability Engineering & System Safety

103

View full text Add to dashboard Cite

“…Therefore, I am unable to confirm whether the results showed an acceptable level of reliability among assessors. With regard to identifying the locations of holes, risk perception by operators is rather subjective (Manuel 2011). Therefore, ambiguity is possible, and reliability becomes arguable.…”

Section: Limitations Of the Studymentioning

confidence: 99%

“…Rasmussen (1997) emphasizes that risk management is necessary at all levels of modern dynamic societies. Manuel (2011) concludes, after extensive research into ship officers and shipping companies, that achieving continual high safety standards and performance is based on management commitment and a greater consideration of all potential risks, particularly by operators. In the UK, risk management is required in workplaces to ensure the health and safety of operators and others who may be affected by what the operators do or do not do under the Health and Safety at Work etc.…”

Section: Introductionmentioning

confidence: 99%

Relationship between latent conditions and the characteristics of holes in marine accidents based on the Swiss cheese model

Fukuoka

Furusho

2016

WMU J Marit Affairs

View full text Add to dashboard Cite

In his Swiss cheese model, Reason states that no one can foresee all possible accident scenarios. If holes can be visualized and the relationship between holes and latent conditions can become clear, then it is possible to control the occurrence of holes. The objective of this research is to determine the relationship between latent conditions and the characteristics of holes. In this study, 84 serious marine accidents, divided into six types, were analyzed. Furthermore, the safety management system (SMS) in organizations and risk management at local workplaces were considered as defensive layers, and 10 latent conditions were defined by modifying the software-hardware-environment-liveware (SHEL) model. The following results were found. Holes in the SMS defensive layer tend to arise during the early stages of the plan-do-check-act (PDCA) cycle, except for cases involving sinking. Holes in the defensive layer of risk management tend to arise during the early stages of the risk management process in cases involving collisions, occupational casualties, fire, or explosion. The most frequent latent condition was an inadequate condition of operators, but was not necessarily the same for different types of accidents. These findings indicate that the locations of and reasons for the opening of holes can be determined. By applying a method for closing holes in combination with the findings of this study, accidents can be systematically prevented.

show abstract

“…Proper scheduling of such teams is "an important function that determines the efficiency and productivity" [6] and requires quite advanced knowledge of the queuing theory or some computerized program as an aid. Usually, that knowledge is not available in the conservative shipping industry environment [7] and companies have to hire consultants to perform the action or to buy software designed for the action. Both actions require additional costs which will diminish potential savings of the whole arrangement.…”

Section: Introductionmentioning

confidence: 99%

Ships Shore Service Optimization Using the Queueing Theory

Bebic¹,

Stazić²,

Komar³

2019

Int. j. simul. model.

View full text Add to dashboard Cite

This paper is presenting a solution for simplifying shore maintenance service teams scheduling procedure in the maritime industry. Shore maintenance service teams scheduling procedure in the past required either advanced mathematical knowledge in the area of the queueing theory or adequate computerized software for the calculation. That action in the past was usually outsourced; companies did not have personnel capable of solving the queueing theory nor the software needed for the calculation. The solution, presented in the paper, enables in-house scheduling of the shore maintenance service teams using only basic knowledge of the theory, without the use of the specially designed software. The scheduling is performed using a simplified Excel template for Queueing theory, inserting the data from ship's Computerized Planned Maintenance System. The Excel template, after filling the data, determines the optimal number of teams for the fleet and performs the calculation according to the desired or optimal service level. Simplified Excel template for Queueing theory cut the costs for the calculation and scheduling enabling additional savings in the industry.

show abstract

Maritime Risk and Organizational Learning

Cited by 7 publications

References 0 publications

Modelling Vessel Traffic Service to understand resilience in everyday operations

Modelling Vessel Traffic Service to understand resilience in everyday operations

Relationship between latent conditions and the characteristics of holes in marine accidents based on the Swiss cheese model

Ships Shore Service Optimization Using the Queueing Theory

Contact Info

Product

Resources

About