Article
Engineering, Marine
Haoqing Wang, Yuan Liu, Shuaian Wang, Lu Zhen
Summary: The European Union has implemented a 2% sub-quota for renewable marine fuels to be used by vessels within its jurisdiction, starting from 2034. This policy aims to reduce carbon emissions and promote sustainable development. However, it poses challenges for shipping companies in terms of fuel costs. To support these companies, a mixed-integer linear programming model is proposed to determine optimal decisions for fuel choice, sailing speed, and fleet size on various routes, taking into account fluctuations in fuel prices and vessel costs.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Dung-Ying Lin, Pak Weng Leong
Summary: This research focuses on optimizing sailing speed and vessel deployment in international liner shipping, by constructing a mathematical formulation and enhancing linearization techniques to solve stochastic programming problems and providing effective managerial insights.
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Shuaiqi Zhao, Jingru Duan, Dechang Li, Hualong Yang
Summary: This paper investigates the problem of vessel scheduling and bunker management with speed deviations (VSBMSD) for liner shipping in the presence of collaborative agreements. By establishing the worst-case scenario of the maximum bunker consumption function with vessel sailing speed as an independent variable, a mixed-integer nonlinear programming model is developed to minimize the total liner shipping route service cost. The results of computational experiments indicate that VSBMSD in the presence of collaborative agreements can enable shipping companies to design vessel schedules reasonably and reduce the total cost of liner shipping route service by at least 2.95%.
Article
Business
Arijit De, Junwei Wang, Manoj Kumar Tiwari
Summary: This paper explores sustainable container shipping with a focus on fuel bunker management and recovery policies for disruptions in maritime transportation. It proposes a novel mathematical model and heuristic procedure to maximize profitability of shipping companies and addresses decision-making processes within shipping operations. Additionally, the paper considers recovery strategies such as port swapping and vessel route rescheduling to mitigate disruptions caused by adverse weather conditions. Insights gained from analysis based on fuel price, bunkering capacity, weather conditions, port closures, carbon taxes, and fuel consumption offer valuable information for shipping company managers.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Environmental Studies
Sedat Bastug, Hercules Haralambides, Soner Esmer, Enes Eminoglu
Summary: This study indicates a disparity in the criteria used by shipping companies and port operators to measure port competitiveness. While port operators prioritize factors like port location and service level, shipping companies prioritize port operational efficiency. The research suggests that better mutual understanding between ports and carriers can lead to a more efficient economic system and societal development.
Article
Transportation
Daniele Crotti, Claudio Ferrari, Alessio Tei
Summary: The Covid-19 pandemic has had a significant impact on the global economy, particularly on the transportation industry and port sector. This study introduces a model to assess the effects of demand shocks on carrier integration strategies in order to better understand potential market changes and their impact on social welfare.
MARITIME ECONOMICS & LOGISTICS
(2022)
Article
Management
Arijit De, Alok Choudhary, Metin Turkay, Manoj K. Tiwari
Summary: This paper investigates bunker fuel management for liner shipping networks under different fuel pricing scenarios and with different fuel bunkering policies. A mixed integer non-linear programming model is developed to minimize total expected cost. The research considers stochastic fuel consumption, fuel prices at each port, and different fuel bunkering policies to determine optimal bunker fuel management strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Marine
Clara Boren, Manel Grifoll, Marcella Castells-Sanabra
Summary: Maritime transportation is the main mode of overseas freight transport, but it still contributes significantly to greenhouse gas emissions. This study investigates the impact of slow steaming on fuel consumption and emissions in container ships, and finds that the cubic speed-power relation may overestimate the reduction in fuel consumption and emissions. The results suggest the need for accurate assessment methods when evaluating the effectiveness of slow steaming as a strategy to reduce fuel consumption and costs.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Tomohiro Saito, Ryuichi Shibasaki, Shinsuke Murakami, Kenmei Tsubota, Takuma Matsuda
Summary: This study applies graph theory to analyze the evolution of global maritime container shipping networks, particularly focusing on the 1970s. The research uncovers that the initial single polar network transforms into a multipolar structure, eventually forming a hub-and-spoke system. Moreover, the study identifies the impact of the reopening of the Suez Canal on the container shipping networks.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Industrial
Shijin Wang, Qianyang Zhao
Summary: This paper addresses a container liner shipping problem with speed optimisation, proposing a probabilistic tabu search algorithm to minimize total costs of the fleet. Computational experiments demonstrate the effectiveness and superiority of the proposed method in solving the problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Chemistry, Analytical
Lu Kang, Wenzhou Wu, Hao Yu, Fenzhen Su
Summary: The study constructed a global liner shipping network to assess the transport performance and attractiveness of ports, concluding that ports in Asia and Europe had higher accessibility. This research may have important implications for future studies and port planning.
Article
Transportation
Jian Du, Nuan Wu, Xu Zhao, Jun Wang, Liming Guo
Summary: This paper optimizes the container liner shipping schedule with consideration of shipper selection behavior. By formulating the problem as a mixed-integer nonlinear programming model and evaluating shipper selection behavior with a nested logit model, a particle swarm optimization (PSO) framework embedded with CPLEX solver is designed. Numerical experiments based on the Persian Gulf route of COSCO SHIPPING LINES show that considering shipper selection increases total freight demand by 23% and weekly operation revenue by 31%. Additionally, it is found that planned ship speed should be increased for time-preference shippers with electronic or refrigerated products, while it should be decreased for price-preference shippers with general or bulk cargoes. These conclusions provide decision support for the operation practice of liner shipping schedule design.
MARITIME POLICY & MANAGEMENT
(2023)
Article
Economics
Sedat Bastug, Hercules Haralambides, Ercan Akan, Kasim Kiraci
Summary: Shipping lines face various marketing risks that need mitigation, and the COVID19 pandemic and subsequent supply chain disruptions have served as a serious example. Unmitigated risks during such times can lead to corporate failure or significant losses, impacting a carrier's brand name due to unreliability. Through a combination of literature review and Spherical Fuzzy Theory, we identify adverse market developments, competitor moves, operational mistakes, and unreliability as key risks and propose avenues for risk mitigation. Our findings highlight that unexpected events like natural disasters or COVID19 pose the greatest risk to carriers due to intense competition and capacity management practices, making buffers or slacks impractical.
Article
Economics
Shengda Zhu, Xiaowen Fu, Michael G. H. Bell
Summary: The integration between shipping lines and ports has significant impacts on port choices, with carriers preferring to call at affiliated ports they own or have rights to through alliance partners. The study also found that shipping lines prefer ports with adequate infrastructure and that the number of ports called on one route is constrained by the total transport time. Further research on the impact of shipping line-port integration on port handling efficiency and service quality is recommended for policy formation in the maritime sector.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Environmental Studies
Christopher Dirzka, Michele Acciaro
Summary: The study found that there are principal-agent problems in container shipping leading to increased carbon emissions, while levying a carbon price according to the Paris Agreement targets would also increase operational costs. Recommendations were made for respective carbon policies and incentives to overcome underinvestment in green technologies.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Transportation
Di Huang, Yiran Wang, Shuai Jia, Zhiyuan Liu, Shuaian Wang
Summary: This paper proposes an optimization approach to deal with the electric bus charging scheduling problem, aiming to improve the system's operating efficiency by fully utilizing available charging resources.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Transportation
Xinyuan Chen, Ran Yan, Shining Wu, Zhiyuan Liu, Haoyu Mo, Shuaian Wang
Summary: This paper investigates the minimal covering time problem of maritime rescue missions in Hong Kong waters. It proposes a mixed-integer programming model and a two-stage method to address this problem. Extensive numerical experiments and a case study demonstrate the efficiency of the proposed algorithm and the applicability of the model.
MARITIME POLICY & MANAGEMENT
(2023)
Article
Engineering, Civil
Zhiyuan Liu, Cheng Lyu, Zelin Wang, Shuaian Wang, Pan Liu, Qiang Meng
Summary: This paper proposes a novel framework that extends the classical fundamental diagram models to incorporate more dimensions of traffic state variables and consider the impact of supply-side factors. The framework is suitable for real-time traffic management, especially in urban areas, due to its minimal assumptions, flexibility to various data sources, and scalability to higher-dimensional data. The Gaussian process model is adopted as the base model for learning the optimal mapping from input features to traffic volume. An in-depth analysis of the properties of the kernel and likelihood function is provided. The experiments demonstrate the ability of the proposed framework to capture complex relationships between traffic variables and supply-side factors, and estimate dynamic road capacity.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Operations Research & Management Science
Minh Do, Tiru Arthanari, Tava Lennon Olsen, Timofey Shalpegin, Shuaian Wang
Summary: This study investigates the impact of changes in the number of shipping lines on port charges and profits. A two-stage noncooperative game-theoretic model is developed, where ports determine their container handling charges in the first stage and shipping lines decide on the number of calls at each port in the second stage. Applying the model to the competition between the Port of Tauranga and the Port of Auckland in New Zealand provides managerial insights. The study extends existing literature on port competition by considering competition among shipping lines.
NAVAL RESEARCH LOGISTICS
(2023)
Article
Engineering, Electrical & Electronic
Longpai Pan, Yu Zhou, Qiang Meng, Yun Wang
Summary: Due to mixed right-of-way and varying traffic conditions, urban bus operations often face random delays and bus bunching, which disrupts schedule reliability. Existing studies propose models and control strategies to mitigate bus bunching, but they often overlook the impacts of intersections with signal coordination, varying traffic volume, and passenger demand. To address this research gap, this study introduces a stop-level frequency measurement for bus bunching events and presents a simulation-based approach to quantify the impacts of these traffic factors. Numerical experiments reveal the cause-effect relationship between these factors and bus bunching events. The study evaluates contributors to bus bunching and examines the effects of control delays through statistical measurements. Finally, a real-world case study on bus route 51 in Singapore provides insights to alleviate bus bunching.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Immunology
Li-e Zheng, Min Huang, Yuhong Ye, Pengming Sun
Summary: This study identified miR-211 as a crucial factor in modulating the accumulation and activity of MDSCs in ovarian cancer (OC)-bearing mice. Upregulation of miR-211 inhibited MDSC proliferation, suppressed immunosuppressive functions, and increased co-incubated CD4+ and CD8+ cell numbers. Moreover, miR-211 overexpression led to decreased activities of the NF-kappa B, PI3K/Akt, and STAT3 pathways, resulting in the downregulation of matrix metalloproteinases and promotion of tumor cell invasion and metastasis. CHOP overexpression countered the effects of miR-211 elevation on these phenotypic changes. Upregulation of miR-211 also impaired MDSC activity and suppressed OC tumor growth in vivo.
IMMUNOLOGICAL INVESTIGATIONS
(2023)
Article
Transportation Science & Technology
Yu Zhou, Ghim Ping Ong, Qiang Meng, Haipeng Cui
Summary: This paper investigates the electric bus charging facility planning problem for a bus transit company operating a heterogeneous electric bus fleet. The goal is to determine the number and type of chargers deployed at bus terminals and depots to meet daily charging demand while minimizing total cost. It is formulated as a two-stage stochastic programming model and solved using heuristic methods and a multi-agent transit simulation system.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Industrial
Lu Zhen, Xueting He, Shuaian Wang, Jingwen Wu, Kai Liu
Summary: This study investigates a variant of the Vehicle Routing Problem (VRP) for customized on-demand bus service platforms. A mixed-integer linear programming model is formulated and a solution method combining branch-and-bound and column generation algorithms is developed. Real data experiments validate the effectiveness of the proposed model and efficiency of the algorithm, demonstrating optimal results in the majority of instances. Sensitivity analysis, model extensions, as well as rolling horizon-based context and zoning strategies are also investigated.
Article
Transportation
Zhong Chu, Ran Yan, Shuaian Wang
Summary: The punctuality of vessel arrival at port is a critical issue in port operations. This study quantitatively evaluates vessel arrival uncertainty and develops a random forest model to predict vessel arrival time. The results show a decrease in overall arrival uncertainty as vessels approach the port, and the model reduces prediction error compared to reported ETA data. These findings are valuable for port management and operation.
MARITIME POLICY & MANAGEMENT
(2023)
Article
Economics
Shukai Chen, Hua Wang, Qiang Meng
Summary: This study investigates the cost allocation of cooperative autonomous truck (AT) platooning among carriers. The goal is to find a cost allocation such that the violation of efficiency and stability conditions is minimized. A cooperative AT platooning problem is proposed, and cost allocation models are formulated. An exact row-generation solution method is developed to computationally calculate the cost allocation, and extensive numerical experiments demonstrate the effectiveness of the solution methods.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Economics
Hao Guan, Hua Wang, Qiang Meng, Chin Long Mak
Summary: This study aims to investigate the impact of heterogeneous platooning effect on travel efficiency in a freeway lane with mixed semi-autonomous vehicles and fully-autonomous vehicles. By characterizing the differences in platooning behavior between semi-AVs and fully-AVs, the study derives the platooning probabilities of the two types of vehicles and develops a Markov chain model to determine the probability distributions of platoon size and headway type. The developed models provide insights into the role and potential of automated transport systems in guiding mixed AV traffic management and control.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Operations Research & Management Science
Hua Wang, Jing Wang, Shukai Chen, Qiang Meng
Summary: Autonomous vehicles are expected to revolutionize the automotive industry and transportation systems. This paper investigates equilibrium traffic dynamics for the coexistence of autonomous and human-driven vehicles in morning commuting, and explores new traffic management strategies for mixed autonomous and human-driven traffic.
TRANSPORTATION SCIENCE
(2023)
Article
Transportation
Lu Zhen, Yingying Yuan, Dan Zhuge, Harilaos N. Psaraftis, Shuaian Wang
Summary: This paper investigates the design of subsidy strategy for promoting shore power installation and utilization. Using the Stackelberg game methodology, it analyzes different subsidy policies and provides managerial insights for government and port operators.
MARITIME POLICY & MANAGEMENT
(2023)
Article
Transportation
Wei Wang, Shuaian Wang, Lu Zhen
Summary: Shipping, as a backbone of economic development, poses a significant environmental threat. To mitigate ship air pollution, government agencies have implemented regulations, with marine diesel oil, scrubber, and shore power being commonly used compliance methods during berthing. By optimizing the subsidy plan through a bi-level mixed integer programming model, we can encourage the adoption of scrubber or shore power by ship operators, while minimizing the total subsidy amount for the government. Numerical experiments show that promoting these technologies starts with large ships and increasing their utilization reduces subsidies.
MARITIME POLICY & MANAGEMENT
(2023)
Article
Engineering, Industrial
Lu Zhen, Jiajing Gao, Zheyi Tan, Shuaian Wang, Roberto Baldacci
Summary: Examined a vehicle routing problem and proposed a cooperative form of delivery involving trucks and drones, using a mixed-integer programming model and an exact algorithm. Acceleration strategies were designed to reduce computation time, and numerical experiments validated the effectiveness and efficiency of the proposed solution.
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)
