Developing Web Based Decision Support System for Evaluation Occupational Risks at Shipyards

Çebı, Selçuk; Akyüz, Emre; Şahin, Yasin

doi:10.21278/brod68102

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…Recent examples are medical expert systems such as a tool for patient drug prescription [2], or tools for evaluating occupational risks, e.g. in shipyards [3]. Public authorities can also use them to verify compliance with existing regulations, e.g.…”

Section: Explaining the Sustainable Nanotechnologies Decision Supportmentioning

confidence: 99%

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Decision Support for International Agreements Regulating Nanomaterials

et al. 2018

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Nanomaterials are handled in global value chains for many different products, albeit not always recognisable as nanoproducts. The global market for nanomaterials faces an uncertain future, as the international dialogue on regulating nanomaterials is still ongoing and risk assessment data are being collected. At the same time, regulators and civil society organisations complain about a lack of transparency about the presence of nanomaterials on the market. In the project on Sustainable Nanotechnologies (SUN, www.sun-fp7.eu), a Decision Support System (SUNDS) has been developed, primarily for confidential use by risk and sustainability managers inside a company or consortium. In this article, we formulate a scenario concerning a potential role for an open access decision support system in negotiations on international agreements regulating trade in nanomaterials. The scenario includes design rules for decision support systems as well as procedures for use of such a system in stakeholder dialogue and policy-making on governance of these and other emerging technologies. This article incorporates analysis of results of stakeholder engagement on nanomaterials as well as literature and internet sources suggested by these stakeholders.

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Section: Explaining the Sustainable Nanotechnologies Decision Supportmentioning

confidence: 99%

“…3 From distributions of exposure and hazard, it is possible to derive probabilistic risks. This forms the basis for selecting appropriate RMM to control any unacceptable human health or ecological risks.…”

Section: Explaining the Sustainable Nanotechnologies Decision Supportmentioning

confidence: 99%

Decision Support for International Agreements Regulating Nanomaterials

et al. 2018

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“…Fishing vessels are a means of determining the success of fishing operations apart from fishermen and fishing gear [2]. According to Cebi [1], the good condition of the ship is one of the factors that determine the safety of the crew. Therefore, it is necessary to have a shipyard to repair, build and maintain ships.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Inhibiting Factors in Shipyards in Classterizing Shipyards on the Northen Coastal of ACEH Indonesia Using the Fuzzy AHP Method: A Preliminary Study

Rizwan,

Chaliluddin,

Nuvus

et al. 2024

TransNav

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The fishing shipyard in Banda Aceh City is a privately owned shipyard and is managed in a family manner. The shipyard here is active in carrying out maintenance, repair and construction of new ships when there is demand from consumers. Shipyards in Banda Aceh City generally make ships made of wood. The problem that is currently being faced is that there are many abandoned ships due to lack of finance, natural resources, human resources and the environmental, this is an obstacle to the progress and development of shipyards. The purpose of this study is to determine the inhibiting factors that exist in shipyards in the city of Banda Aceh and find alternative solutions to these problems. The method used in this study is a survey method used to look at existing symptoms and collect data on factors related to research variables and then analyzed using the Fuzzy AHP method. The results of this study indicate that the financial inhibiting factor is the most influential factor in shipyards with a resulting value of 0.4635, the inhibiting factor of Natural Resources is worth 0.35675, the inhibiting factor of Human Resources is worth 0.2865 and the inhibiting factor from the environment is the inhibiting factor which is the lowest or less influential with a value of 0.14325. The alternative solutions to financial problems are capital loans and investments. An alternative for natural resources is the addition of a minimum stock to anticipate stock scarcity and delays in the delivery of materials and tools. The alternative for human resources is the existence of an office, organizational structure, and division of tasks as well as awareness of occupational health and safety. As for the alternatives for the environment, namely the need for buildings or installation of tarpaulins for areas where ships are built, good land management and studies of other natural impacts.

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“…In addition, the historical data associated with shipyard accidents are widely used by scholars to identify risk events. Shinoda et al [ 16 ] developed a database containing shipyard occupational accidents and an information processing model to identify the hazardous events; later, Shinoda et al [ 17 ] designed a work observation system based on this database, and similarly, the database containing various resources aimed at risk control in shipyard was also utilized by Cebi et al [ 18 ] to establish a web-based decision support system to aid decision-making for risk management. Based on the obtained historical data, the BN is often applied to identify the critical risk events in the shipbuilding and repair industry; for instance, Lee et al [ 19 ] developed a BN to implement risk evaluation with the help of questionnaire approach, and then, Basuki et al [ 20 ] used the probabilistic-based approaches to quantify the parameters involved in BN model to analyze the critical risks in the shipyard industry.…”

Section: Introductionmentioning

confidence: 99%

Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network

Liu

Qiao

et al. 2021

IJERPH

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The operational activities conducted in a shipyard are exposed to high risk associated with human factors. To investigate human factors involved in shipyard operational accidents, a double-nested model was proposed in the present study. The modified human factor analysis classification system (HFACS) was applied to identify the human factors involved in the accidents, the results of which were then converted into diverse components of a fault tree and, as a result, a single-level nested model was established. For the development of a double-nested model, the structured fault tree was mapped into a Bayesian network (BN), which can be simulated with the obtained prior probabilities of parent nodes and the conditional probability table by fuzzy theory and expert elicitation. Finally, the developed BN model is simulated for various scenarios to analyze the identified human factors by means of structural analysis, path dependencies and sensitivity analysis. The general interpretation of these analysis verify the effectiveness of the proposed methodology to evaluate the human factor risks involved in operational accidents in a shipyard.

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Developing Web Based Decision Support System for Evaluation Occupational Risks at Shipyards

Cited by 9 publications

References 14 publications

Decision Support for International Agreements Regulating Nanomaterials

Decision Support for International Agreements Regulating Nanomaterials

Analysis of Inhibiting Factors in Shipyards in Classterizing Shipyards on the Northen Coastal of ACEH Indonesia Using the Fuzzy AHP Method: A Preliminary Study

Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network

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