{"title":"Exploring Instagram-Based Social Media Marketing Approaches of Yacht Training Services: A Content Analysis of Photographs","authors":"Serim Paker, Neslihan Paker","doi":"10.4274/jems.2022.76093","DOIUrl":"https://doi.org/10.4274/jems.2022.76093","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44585469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial","authors":"Selçuk Nas","doi":"10.4274/jems.2022.69320","DOIUrl":"https://doi.org/10.4274/jems.2022.69320","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44949754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently, the marine industry has been under a paradigm shift toward adopting increased automation, and initiatives to enable the autonomous operations of ships are ongoing. In these cases, power plants require advanced monitoring techniques not only for the performance parameters but also to assess the health state of their critical components. In this respect, this study aims to develop a monitoring functionality for power plants that captures the performance metrics while considering the overall system and its components’ reliability. A hybrid power plant of a pilot boat is considered a case study. A rule-based energy management strategy is adopted, which makes the decisions on the power distribution to the investigated power plant components. Additionally, a dynamic Bayesian network is developed to capture the temporal behavior of the system’s/components’ reliability accounting for the power plant’s operating profile. Results demonstrate that the selected hybrid power plant monitoring capabilities are enhanced by providing the power plant performance along with the estimation of the system’s health state. Furthermore, these extended monitoring capabilities can provide the essential metrics to facilitate decisionmaking, enabling the autonomous operation of the power plant.
{"title":"Performance and Reliability Monitoring of Ship Hybrid Power Plants","authors":"Charalampos Tsoumpris, G. Theotokatos","doi":"10.4274/jems.2022.82621","DOIUrl":"https://doi.org/10.4274/jems.2022.82621","url":null,"abstract":"Recently, the marine industry has been under a paradigm shift toward adopting increased automation, and initiatives to enable the autonomous operations of ships are ongoing. In these cases, power plants require advanced monitoring techniques not only for the performance parameters but also to assess the health state of their critical components. In this respect, this study aims to develop a monitoring functionality for power plants that captures the performance metrics while considering the overall system and its components’ reliability. A hybrid power plant of a pilot boat is considered a case study. A rule-based energy management strategy is adopted, which makes the decisions on the power distribution to the investigated power plant components. Additionally, a dynamic Bayesian network is developed to capture the temporal behavior of the system’s/components’ reliability accounting for the power plant’s operating profile. Results demonstrate that the selected hybrid power plant monitoring capabilities are enhanced by providing the power plant performance along with the estimation of the system’s health state. Furthermore, these extended monitoring capabilities can provide the essential metrics to facilitate decisionmaking, enabling the autonomous operation of the power plant.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46011634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aimed to determine and prioritize a set of criteria for the development of logistics centers. Both qualitative and quantitative data collection methods were used to achieve the research aim. Content analysis and semistructured interview techniques were used as the qualitative research methods. Semistructured interviews were conducted with 14 experts, including seven logistics center managers and seven logistics company managers who have worked in a logistics center. The qualitative research revealed eight main criteria and their subcriteria, including location, infrastructure, activities and services, ownership and management, market conditions, regulations, benefits, and horizontal collaborations. The fuzzy analytic hierarchy process was conducted with 18 professionals/experts from different groups of logistics center stakeholders to prioritize the set of criteria. The results were interpreted based on the findings. Among the eight selected criteria, “location” (22%) was the most important criterion, followed by “market conditions” (20%).
{"title":"A Set of Criteria for Logistics Center Development: A Fuzzy Analytic Hierarchy Process","authors":"Didem Çavuşoğlu, Y. Zorba, Soner Esmer","doi":"10.4274/jems.2022.37980","DOIUrl":"https://doi.org/10.4274/jems.2022.37980","url":null,"abstract":"This research aimed to determine and prioritize a set of criteria for the development of logistics centers. Both qualitative and quantitative data collection methods were used to achieve the research aim. Content analysis and semistructured interview techniques were used as the qualitative research methods. Semistructured interviews were conducted with 14 experts, including seven logistics center managers and seven logistics company managers who have worked in a logistics center. The qualitative research revealed eight main criteria and their subcriteria, including location, infrastructure, activities and services, ownership and management, market conditions, regulations, benefits, and horizontal collaborations. The fuzzy analytic hierarchy process was conducted with 18 professionals/experts from different groups of logistics center stakeholders to prioritize the set of criteria. The results were interpreted based on the findings. Among the eight selected criteria, “location” (22%) was the most important criterion, followed by “market conditions” (20%).","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44870881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-driven Ship Domain for Open Water Navigation","authors":"Ülkü Öztürk","doi":"10.4274/jems.2022.52386","DOIUrl":"https://doi.org/10.4274/jems.2022.52386","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47681351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To cite this article: M. Aydın, and B. Kamal, “A Fuzzy-Bayesian Approach on the Bankruptcy of Hanjin Shipping”. Journal of ETA Maritime Science, vol. 10(1), pp. 2-15, 2022.
{"title":"A Fuzzy-Bayesian Approach on the Bankruptcy of Hanjin Shipping","authors":"Muhammet Aydin, B. Kamal","doi":"10.4274/jems.2021.56689","DOIUrl":"https://doi.org/10.4274/jems.2021.56689","url":null,"abstract":"To cite this article: M. Aydın, and B. Kamal, “A Fuzzy-Bayesian Approach on the Bankruptcy of Hanjin Shipping”. Journal of ETA Maritime Science, vol. 10(1), pp. 2-15, 2022.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44746769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
study attempts exploring these on freight rate forecasting line aim, this study follows a Meta-Regression methodology provide a comprehensive and systematic review of prior freight rate forecasting studies. Most of the previous literature reviews were based on qualitative analysis and lacked quantitative We organized this paper as follows: Section 2 contains the proposed hypotheses based on the literature on freight rate forecasting models. Section 3 describes the materials and Abstract Forecasting freight rates has been a topic of discussion for decades. Even though freight rate forecasting is regarded as a critical research topic in shipping, the literature lacks a systematic empirical account of how to obtain more reliable and accurate freight rate forecasts. This study uses meta-regression to synthesize the literature on freight rate forecasting and to test various accuracy influencers. The study confirms that the accuracy of the freight rate forecasts depends significantly on data frequency, forecasting horizon and method, market type, sample size, and the inclusion of explanatory variables.
{"title":"Understanding the Influencers of Freight Rate Forecasting Accuracy: A Meta-Regression Analysis of the Literature","authors":"Cemile Solak Fışkın, E. F. Akgül","doi":"10.4274/jems.2022.87894","DOIUrl":"https://doi.org/10.4274/jems.2022.87894","url":null,"abstract":"study attempts exploring these on freight rate forecasting line aim, this study follows a Meta-Regression methodology provide a comprehensive and systematic review of prior freight rate forecasting studies. Most of the previous literature reviews were based on qualitative analysis and lacked quantitative We organized this paper as follows: Section 2 contains the proposed hypotheses based on the literature on freight rate forecasting models. Section 3 describes the materials and Abstract Forecasting freight rates has been a topic of discussion for decades. Even though freight rate forecasting is regarded as a critical research topic in shipping, the literature lacks a systematic empirical account of how to obtain more reliable and accurate freight rate forecasts. This study uses meta-regression to synthesize the literature on freight rate forecasting and to test various accuracy influencers. The study confirms that the accuracy of the freight rate forecasts depends significantly on data frequency, forecasting horizon and method, market type, sample size, and the inclusion of explanatory variables.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47514902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Business Operation Period on the Relationship Between Knowledge Management Applications and Ship Performance","authors":"Murat Yorulmaz, A. Karabacak","doi":"10.4274/jems.2021.66049","DOIUrl":"https://doi.org/10.4274/jems.2021.66049","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43569833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Coupling Effect on Torsional and Longitudinal Vibrations of Marine Propulsion Shaft System","authors":"Akile Neşe Halilbeşe, O. Özsoysal","doi":"10.4274/jems.2021.68094","DOIUrl":"https://doi.org/10.4274/jems.2021.68094","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47997509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Post GMC’21 Conference","authors":"O. Turan","doi":"10.4274/jems.2021.51423","DOIUrl":"https://doi.org/10.4274/jems.2021.51423","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44352088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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