Article
Business
Xuan Qiu, Gangyan Xu
Summary: This article studies the pricing and scheduling problem of rail shuttle service in a dry port system. By analyzing the optimal properties of a bilevel model, a solution is proposed and numerical studies are conducted to evaluate the performance of both parties. The study finds that excessively high storage prices may reduce profit for the dry port, while low setup costs at shippers can not only save costs for them but also improve profit for the dry port.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
Milovan Kovac, Snezana Tadic, Mladen Krstic, Violeta Roso
Summary: Overcoming global sustainability challenges in logistics requires minimizing the negative effects of logistics activities, which can be achieved through intermodal transportation. This study focuses on the development of dry port (DP) terminals within the framework of inland waterway container terminals (IWCTs) as a sustainable solution. The article presents a novel DP concept variant, mathematically formulates the problem of modeling DP systems, and proposes a hybrid metaheuristic approach to solve the problem adequately. The case study results demonstrate the sustainability and potential contributions of DP terminals in IWCTs.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Article
Engineering, Marine
Yongsheng Yang, Sha He, Shu Sun
Summary: Reasonable scheduling of loading and unloading equipment for trains can reduce energy consumption in production operations, which is crucial for environmentally-friendly development of terminals. A collaborative scheduling model for Automated Rail Mounted Gantry (ARMG) and Automated Guided Vehicle (AGV) was proposed to minimize equipment energy consumption in a scenario involving vertical railway entry to a port and a shared storage yard. The model employed a two-layer scheduling rule and a self-adaptive chaos genetic algorithm (SCGA) to optimize the placement of ARMG and AGV. Simulation experiments confirmed the effectiveness of the model and algorithm. The study also analyzed the effects of delayed vessel arrival, transshipment container proportion, and the number of automated ARMGs and AGVs on total energy consumption. The results indicate that a 1:4 ratio of ARMG to AGV minimizes energy consumption when all containers are train-ship containers. Furthermore, as ship arrival time increases, reducing the number of AGVs can significantly decrease energy use while maintaining the same number of ARMGs.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Civil
Wenqian Liu, Xiaoning Zhu, Li Wang, Qin Zhang, Kok Choon Tan
Summary: This paper presents a multi-objective optimization model for integrating the scheduling of three types of equipment in a multimodal container terminal. An adaptive large neighborhood search algorithm coupled with discrete-event simulation was designed to solve the problem. Computational experiments were conducted to evaluate various objectives and verify the effectiveness of the proposed solution algorithm. The impact of the partial joint storage yard strategy on the railway operation area and yard operations was also discussed.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Preeti Rathi, Amit Upadhyay
Summary: Efficient use of handling equipment at container terminals is crucial for improving operational efficiency, especially when dealing with double-stack container trains. This paper discusses the complex planning problem of container retrieval and assignment on rail-side wagons, with the objective of minimizing crane handling time. The proposed heuristic algorithms provide an efficient solution that considers various requirements of rail-side and yard-side operations.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Transportation
Yanjie Zhou, Kap Hwan Kim
Summary: This paper presents a method for designing an optimal concession contract between a port authority and two container-terminal operators under various revenue-sharing schemes with quantity discounts. Numerical experiments show that the revenue-sharing scheme with a quantity discount results in higher revenue to the port authority than traditional single-rate schemes, and all-unit discounts provide higher revenue than incremental discounts in most experimental results.
MARITIME POLICY & MANAGEMENT
(2021)
Article
Engineering, Industrial
Xiying Yang, Guowei Hua, T. C. E. Cheng, Li Zhang, Yi Zhang, Yadong Xu
Summary: This study examines the optimal pricing and ordering strategies of retailers in the presence of consumers' behavioural motive and valuation uncertainty. The results highlight the significant impact of anticipated regret and future uncertainty on retailers' operations and profits.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ercan Kurtulus
Summary: It is crucial for container shipping companies to plan the number and locations of dry ports as well as efficient inland container logistics operations. This study proposes a two-stage stochastic mixed-integer programming model to optimize inland container logistics through dry ports. The results show that using the progressive hedging algorithm improves performance significantly, and using stochastic solution can save costs.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Mathematics
Shiyu Liu, Ou Liu, Xiaoming Jiang
Summary: This paper analyzes a retailing supply chain problem involving quantity discount schedules and order quantity constraints. An efficient algorithm named MCPB is proposed to find near-optimal solutions for retailers to solve practical joint replenishment problems. Computational experiments show that the algorithm can effectively maximize retailers' profit.
Article
Economics
Pengliang Cao, Yujing Zheng, Kum Fai Yuen, Yuxiong Ji
Summary: This study proposes a methodology for analyzing the influence of inland container depots (ICDs) on port efficiency. Through a real-world case study, the impact of ICDs on port efficiency is evaluated, providing insights for strategic decision-making by port authorities.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Operations Research & Management Science
Ilgin Gokasar, Ahmet Karakurt, Yusuf Kuvvetli, Muhammet Deveci, Dursun Delen, Dragan Pamucar
Summary: Regional transport pricing is crucial for the sustainability and travel behavior in urban settings. A sustainable approach to regional rail system pricing is proposed using rent prices and a transportation affordability index, aiming to reduce commuters' travel distance and public transportation costs. The study utilizes face-to-face surveys and clustering optimization modeling to obtain rent per income rates and rental-based ticket prices for different clusters of stations.
ANNALS OF OPERATIONS RESEARCH
(2023)
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
Business
Jafar Heydari, Behnam Momeni
Summary: This study discusses the advantages and challenges of retailers' coalition in retail channels, analyzing three different models and concluding that the optimal configuration of the coalition can increase profits for both retailers and the retail channel. The findings suggest that forming a retail coalition can help procurement managers rethink their ordering policy to gain more profits and enhance service levels to meet consumers' needs.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2021)
Article
Computer Science, Artificial Intelligence
Golara Chaharmahali, Davoud Ghandalipour, Milad Jasemi, Saber Molla-Alizadeh-Zavardehi
Summary: Discount is an efficient method to reduce closed-loop supply chain costs. This study applies quantity discount, fixed and variable transportation costs, and well-known efficient algorithms. The results show that the hybrid algorithm and the modified differential evolution algorithm have superior performance compared to other algorithms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Oceanography
Lingpeng Meng, Hu Ge, Xudong Wang, Wei Yan, Chuanfeng Han
Summary: In recent years, the service capacity of coastal ports has not kept up with the increasing demand for ocean transportation, resulting in frequent congestion and negative impacts on the fleet deployment of shipping companies. This research introduces a variational inequality model to optimize ship routing and allocation schemes, taking into account port congestion and alternative port options. The objective is to achieve a balanced shipping cost across different routes.
OCEAN & COASTAL MANAGEMENT
(2023)
