Article
Transportation
Shuyi Pu, Jasmine Siu Lee Lam
Summary: Blockchain technology is becoming increasingly popular in the maritime industry, with companies exploring its adoption to stay ahead of competition. Research aims to provide a thorough analysis of blockchain applications across different sectors and develop a novel conceptual framework for future research. Understanding blockchain technology and specific requirements is key for industry organizations looking to adopt it.
MARITIME POLICY & MANAGEMENT
(2021)
Article
Engineering, Marine
Jevon Chan, David Golightly, Rose Norman, Kayvan Pazouki
Summary: This paper examines the perceptions and attitudes of 100 navigational seafaring participants towards autonomous systems. The study found that seafarers are receptive towards autonomous shipping, but have concerns about responsibility and safety issues.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Economics
Wayne K. Talley, ManWo Ng
Summary: This paper explores the issue of cargo port choice from the perspectives of shippers, shipping lines, and cargo port service providers. It proposes a cargo port choice equilibrium model to capture the interdependent choices of shipping lines and service providers. The model can be used to forecast behavioral changes in the case of disturbances in the equilibrium.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Mathematics
Shuaian Wang
Summary: There is a lack of application of academic research in the shipping industry, while shipping companies need decision support tools to lower costs, improve profitability, and reduce environmental impact. Shipping Information Modeling (SIM) systems can bridge this gap.
ELECTRONIC RESEARCH ARCHIVE
(2022)
Article
Mathematics, Applied
Jiawei Ge, Xuefeng Wang, Wenming Shi
Summary: This study explores the evolutionary pattern of the world container shipping network (WCSN) and reveals that its hierarchy largely depends on trade patterns and demonstrates certain geographic characteristics. The KS-LRW index performs best in evaluating network performance, and future simulation results show that predicting potential edges can significantly enhance network connectivity and efficiency.
Article
Oceanography
Jihong Chen, Chenglin Zhuang, Heng Xu, Lang Xu, Saimin Ye, Nelson Rangel-Buitrago
Summary: This article examines the collaborative management level evaluation of container shipping alliances, establishes an indicator system, and applies the fuzzy quality function deployment method to construct a collaborative management framework. Through a case study of the CKYHE alliance, it evaluates its collaborative management level and the management and operation levels of its members, proving the inevitability of alliance disintegration and restructuring.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Ercan Akan, Kasim Kiraci
Summary: This study proposes a novel model for determining depreciation in an uncertain environment, making use of interval type-2 fuzzy and offering alternative options for investors' decisions.
Review
Chemistry, Multidisciplinary
Aditya Rio Prabowo, Tuswan Tuswan, Ridwan Ridwan
Summary: The development of human civilization has reached a milestone with the introduction of Industry 4.0, impacting industry and manufacturing activities through IoT, location detection technologies, and advanced human-machine interfaces. The use of sensors in marine applications is crucial for monitoring phenomena and data acquisition, serving as reliable references for further research in marine, shipbuilding, and shipping fields.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Studies
Min-Ho Ha, Ho Park, Young-Joon Seo
Summary: This study uses Interpretive Structural Modeling (ISM) to identify the core determinants for selecting LNG bunkering ports from the perspective of South Korean liner shipping companies. The study confirms that there are 11 components that influence the selection of LNG bunkering ports, which can be grouped into three categories: basic requirements, port attractiveness (differentiation), and core components. The top three determinants are recognized as core determinants that individually impact the decision-making of shipping companies. The findings of this study can serve as a reference for policymakers and ports in developing effective LNG bunkering port strategies.
Article
Business
Agnieszka Nowinska, Hans-Joachim Schramm
Summary: This study finds that low and high status players use different collaborative strategies under uncertainty and introduces new constructs and concepts, providing practical implications for policy and managerial decision-makers in the industry.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Engineering, Marine
Yan Zhang, Zhikuan Sun
Summary: This study investigates how international organizations, IMO member states, and associate members have taken maritime management measures in response to the COVID-19 pandemic. By analyzing circular letters from different crisis phases, the study identified a mechanism for MM progression developed between stakeholders during the post-crisis period.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Management
Zhao-Yu Song, Prem Chhetri, Guanqiong Ye, Paul Tae-Woo Lee
Summary: This paper examines the current developments of Green Shipping Corridors (GSC) and highlights key challenges in its implementation from a stakeholder's perspective. It also sets out global research agendas and future directions to achieve decarbonization in the maritime industry in the context of GSC.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Review
Energy & Fuels
Michail Cheliotis, Evangelos Boulougouris, Nikoletta L. Trivyza, Gerasimos Theotokatos, George Livanos, George Mantalos, Athanasios Stubos, Emmanuel Stamatakis, Alexandros Venetsanos
Summary: The International Maritime Organisation aims to reduce shipping's Green House Gas emissions by 50% by 2050, using environmentally friendly fuels like ammonia. However, challenges such as selecting appropriate generators and addressing safety hazards need to be overcome for ammonia fuel to become a compelling option for decarbonizing shipping.
Article
Business
Ling Li, Honggeng Zhou
Summary: The paper discusses the impact of blockchain on supply chain activities, summarizes relevant research and key technologies, and lists case studies in the maritime and shipping industry. Blockchain helps achieve supply chain management objectives, improving transparency and accountability.
INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT
(2021)
Article
Engineering, Manufacturing
Qinghe Sun, Li Chen, Mabel C. Chou, Qiang Meng
Summary: This study explores the technology investment decisions of ocean carriers during an uncertain transition period. A mathematical model and a solution scheme are introduced to help minimize financial risks and make optimal decisions.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)