Deniz Ulaştırma İşletme Mühendisliği Bölümü Koleksiyonuhttps://hdl.handle.net/20.500.12960/182024-03-29T12:54:16Z2024-03-29T12:54:16ZAn extended human reliability analysing under fuzzy logic environment for ship navigationUflaz, EsmaCelik, ErkanAydin, MuhammetErdem, PelinAkyuz, EmreArslan, OzcanKurt, Rafet EmekTuran, Osmanhttps://hdl.handle.net/20.500.12960/16182024-02-22T12:12:12Z2023-01-01T00:00:00ZAn extended human reliability analysing under fuzzy logic environment for ship navigation
Uflaz, Esma; Celik, Erkan; Aydin, Muhammet; Erdem, Pelin; Akyuz, Emre; Arslan, Ozcan; Kurt, Rafet Emek; Turan, Osman
Preparation for a sea voyage is one of the fundamental aspects of navigation. Several complexities are involved during the preparation of the ship for navigation due to the nature of maritime work. At this point, analysing human-related error is of paramount importance to ensure the safety of the ship and the crew. This paper describes the principles of a methodology, namely fuzzy-based shipboard operation human reliability analysis (SOHRA), to quantitatively perform human error assessment through procedures of preparing the ship for navigation. While the SOHRA (a marine-specific HRA approach) quantifies human error, the fuzzy logic deals with ambiguity and vagueness in the human error detection problem. The findings show that the total HEP (Human error probability) is found 1.49E-01 for preparing the ship for navigation. Consequently, the paper provides practical contributions to shore-based safety professionals, ship managers, and masters of the ship since it performs a systematic human reliability assessment and enhances safety control levels in the operational aspect.
2023-01-01T00:00:00ZApplication of fuzzy DEMATEL approach in maritime transportation: A risk analysis of anchor lossKuzu, Ali Cemhttps://hdl.handle.net/20.500.12960/16072024-02-20T07:03:38Z2023-01-01T00:00:00ZApplication of fuzzy DEMATEL approach in maritime transportation: A risk analysis of anchor loss
Kuzu, Ali Cem
Vessels are exposed to various operational risks throughout their service life. Anchor loss, which is one of the operational risks, may lead to grounding, collision and even total loss of vessel afterwards. Accidents due to loss of anchor may lead to serious consequences such as pollution, injury, loss of life and property. Therefore, it is very important to minimize the risk of anchor loss. In this study, a comprehensive literature review including accident and incident reports, technical reports and expert views was conducted to determine the factors that may cause anchor loss of ships. In order to analyze and define the cause-effect relationship between the determined factors, combination of the fuzzy logic and the DEMATEL (Decision Making Trial and Evaluation Laboratory) method was used. The aim of this study is to mitigate the risk of anchor loss by developing an alternative risk analysis tool. Environmental factors at anchorage area, training and competency of crew, the number of shackles paid out, anchoring method and selection of anchor are identified as the most critical factors for anchor loss. According to the results, a risk analysis model based on cause-effect relationship between the factors has been presented for the shareholders in maritime industry.
2023-01-01T00:00:00ZMental workload (MWL) measurement in marine operationsÖzsever, Barışhttps://hdl.handle.net/20.500.12960/15912024-02-05T09:44:39Z2023-01-01T00:00:00ZMental workload (MWL) measurement in marine operations
Özsever, Barış
Human error is the primary contributor to maritime casualties. Moreover, most collisions and groundings were related to watchkeeping officers' mental workload (MWL). The mental workload can be defined as the amount of mental effort and it is related to information processing and decision-making. On the other hand, it can also be defined as the number of mental resources an individual needs to handle a particular task in their environment. The difference between limited amount of cognitive resources and environmental demand is a ground of human error in occupational areas. While studies on drivers and pilots have made some progress, studies in the field of maritime still need to be at this stage. The aim of this chapter is to detail the techniques used for mental workload measurements in marine operations, to analyse the success levels of the techniques used in the studies in the literature, and to present a projection for further studies. In this chapter, mental workload measurement techniques are classified as subjective, performance, physiological and task loading assessment. Although subjective and performance measurements are widely used in studies related to marine operations, physiological measurements have only been used in recent years, and these early results give an idea that physiological measurements can also be used in marine operations. Within the autonomous ship categories projected by International Maritime Organization, only the fully autonomous ships will be operating with no seafarers on board or ashore. All the other categories will require seafarers to be present either on board or ashore for remote controlling. Therefore, monitoring of cognitive activities of officers, which results in inversely proportional to the increase in automation, is also important for autonomous ship designs. In parallel with these developments in autonomous ship technology, finding, testing and elaborating the right techniques stated in this chapter for mental workload measurement will be a reference for future studies and can provide an infrastructure that can be used in new ship technologies.
2023-01-01T00:00:00ZOptimization of maritime communication workflow execution with a task-oriented scheduling framework in cloud computingAhmad, ZulfiqarAcarer, TayfunKim, Wooseonghttps://hdl.handle.net/20.500.12960/15802024-02-05T06:16:14Z2023-01-01T00:00:00ZOptimization of maritime communication workflow execution with a task-oriented scheduling framework in cloud computing
Ahmad, Zulfiqar; Acarer, Tayfun; Kim, Wooseong
To ensure safe, effective, and efficient marine operations, the optimization of maritime communication workflows with a task-oriented scheduling framework is of the utmost importance. Navigation, vessel traffic management, emergency response, and cargo operations are all made possible by maritime communication, which necessitates seamless information sharing between ships, ports, coast guards, and regulatory bodies. However, traditional communication methods face challenges in adapting to the dynamic and distributed nature of maritime activities. This study suggests a novel approach for overcoming these difficulties that combines task-oriented scheduling and resource-aware cloud environments to enhance marine communication operations. Utilizing cloud computing offers a scalable, adaptable infrastructure that can manage various computational and communication needs. Even during busy times, effective data processing, improved decision making, and improved communication are made possible by utilizing the cloud. The intelligent allocation and prioritization of communication activities using a task-oriented scheduling framework ensures that urgent messages receive prompt attention while maximizing resource utilization. The proposed approach attempts to improve marine communication workflows’ task prioritization, scalability, and resource optimization. In order to show the effectiveness of the proposed approach, simulations were performed in CloudSim. The performance evaluation parameters, i.e., throughput, latency, execution cost, and energy consumption, have been evaluated. Simulation results reflect the efficacy and practical usability of the framework in various maritime communication configurations. By making marine communication methods more durable, dependable, and adaptable to the changing needs of the maritime industry, this study advances maritime communication techniques. The findings of this research have the potential to revolutionize maritime communication, leading to safer, more efficient, and more resilient maritime operations on a large scale.
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