Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Enna Hirata"'
Publikováno v:
Sustainable Futures, Vol 8, Iss , Pp 100358- (2024)
The shipping industry is currently the sixth largest contributor to global emissions, responsible for one billion tons of greenhouse gas emissions. Urgent action is needed to achieve carbon neutrality in the shipping industry for sustainability. In t
Externí odkaz:
https://doaj.org/article/7835d847db064923b262cb44f8605dba
Autor:
Daiki Ueno, Enna Hirata
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2580 (2024)
(1) Background: This work focuses on improving the efficiency of warehouse operations with the goal of promoting efficiency in the logistics industry and mitigating logistics-related labor shortages. Many factors are involved in warehouse operations,
Externí odkaz:
https://doaj.org/article/6cfaf8cd2f944679969420f4c15ab723
Publikováno v:
Logistics, Vol 8, Iss 2, p 37 (2024)
Background: The global logistics industry is facing looming challenges related to labor shortages and low-efficiency problems due to the lack of logistics facilities and resources, resulting in increased logistics delays. The Physical Internet is see
Externí odkaz:
https://doaj.org/article/1a2d60efb1254fc7b690651dcfec1593
Autor:
Enna Hirata, Annette Skovsted Hansen
Publikováno v:
Logistics, Vol 8, Iss 1, p 23 (2024)
Background: Autonomous ships have the potential to increase operational efficiency and reduce carbon footprints through technology and innovation. However, there is no comprehensive literature review of all the different types of papers related to au
Externí odkaz:
https://doaj.org/article/0d0f7a1974444b1a90b44fbcb0ce3aad
Autor:
Enna Hirata
Publikováno v:
Asian Journal of Shipping and Logistics, Vol 35, Iss 1, Pp 24-29 (2019)
This research is mainly devoted to investigating key service characteristics in the container liner shipping (CLS) industry and its impact on customer satisfaction. It maps service quality dimensions to a new set of service characteristics based on t
Externí odkaz:
https://doaj.org/article/f4da2a6294604fb09364fd5464b02fa1
Autor:
Enna Hirata, Takuma Matsuda
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 5, p 593 (2022)
With the increasing availability of large datasets and improvements in prediction algorithms, machine-learning-based techniques, particularly deep learning algorithms, are becoming increasingly popular. However, deep-learning algorithms have not been
Externí odkaz:
https://doaj.org/article/8ca5988f69334778bb6e2a57b7b36632
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 8, p 871 (2021)
In this study, we propose an effective method using deep learning to strengthen real-time vessel carbon dioxide emission management. We propose a method to predict real-time carbon dioxide emissions of the vessel in three steps: (1) convert the traje
Externí odkaz:
https://doaj.org/article/149a747e6b074916afa9d10e36f73ee2
Autor:
Enna Hirata
Publikováno v:
Asian Journal of Shipping and Logistics, Vol 33, Iss 1, Pp 27-32 (2017)
A cross section panel model is applied to estimate the effect that the Herfindahl-Hirschman Index (HHI) has on container freight rates for a sample of six major container liner shipping routes during 2009 to 2011. The estimated coefficient of HHI is
Externí odkaz:
https://doaj.org/article/a0f19b8b3569491593a13aa722ad2266
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 3, p 266 (2021)
Blockchain technology, since its introduction, has been expected to be implemented in many areas. Cryptocurrency is one unique example that established a functioning application. On the other hand, blockchain technology is not immune to various chall
Externí odkaz:
https://doaj.org/article/9b8d4318900944cfba96557196c4db3c
Publikováno v:
Maritime Business Review. 7:318-331
PurposeSince the 2010s, market conditions for container shipping companies have been deteriorating owing to decreasing container cargo trade and increasing supply capacity. This study aims to contribute to the empirical literature on the container sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba5a3fe8a0996aec45b7305e38213beb
https://doi.org/10.1108/mabr-12-2020-0071
https://doi.org/10.1108/mabr-12-2020-0071