Transportation Research Part E-Logistics and Transportation Review最新文献

{"title":"Profit maximization in congested hub location problems: Demand models and service level constraints","authors":"Ata Jalili Marand ,&nbsp;Pooya Hoseinpour","doi":"10.1016/j.tre.2025.103995","DOIUrl":"10.1016/j.tre.2025.103995","url":null,"abstract":"<div><div>This study investigates a congested hub location problem with the aim of optimizing a service provider’s profit by determining hub locations, capacities, and prices for serving commodities. The study incorporates a price-dependent demand function with a general functional form and models hub operations as <span><math><mrow><mi>M</mi><mo>/</mo><mi>G</mi><mo>/</mo><mn>1</mn></mrow></math></span> queueing systems to address congestion effects. The problem is initially formulated as a mixed-integer nonlinear program, which is subsequently transformed into a mixed-integer second-order cone program, demonstrating solvability with standard off-the-shelf solvers. Through numerical analysis, the study evaluates the influence of different demand functional forms and service time constraints on the optimal network configuration and the service provider’s profitability.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103995"},"PeriodicalIF":8.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agricultural supply chain finance considering interest or direct subsidy by government","authors":"Zelong Yi ,&nbsp;Yuqing Chen ,&nbsp;Suyuan Luo ,&nbsp;Hao Huang","doi":"10.1016/j.tre.2025.103992","DOIUrl":"10.1016/j.tre.2025.103992","url":null,"abstract":"<div><div>In practice, interest subsidy and direct subsidy are implemented by many governments to alleviate the financial burdens on farmers who seek loans from banks. However, the issues regarding whether these subsidies should be adopted and which subsidy policy is more effective under bank financing remain underexplored. To address the gap, this paper investigates the impact of distinct subsidy policies on capital-constrained farmers, as well as on consumers and society under bank financing. We establish an agricultural supply chain involving two competing farmers, a bank and a government, wherein the two farmers are heterogeneous in their production costs, and the government provides interest subsidy or direct subsidy to them. By deriving and comparing the equilibrium results among three models (bank financing without government subsidy, bank financing with interest subsidy, and bank financing with direct subsidy), we derive the following main findings: First, when the unit production costs between the farmers are relatively unbalanced, an escalation in the government subsidy rate (interest/direct subsidy rate) results in a decrease in both the planting quantity and the profit of the farmer with a lower unit production cost. Second, the preference for government subsidy policies between the farmers is contingent on the unit production cost gap. Both farmers opt for the same subsidy policy when the unit cost gap is immaterial, while they prefer different subsidy policies when the unit cost disparity is significant. Third, government subsidies may not always be beneficial to the individual farmers, the collective farmers, consumers, and society. Moreover, the selection of the optimal subsidy policy is contingent on the interest subsidy rate and the expected market potential. Collectively, these findings highlight the important role of government subsidies in influencing farmers, consumers and society.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103992"},"PeriodicalIF":8.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Truthful online bundle double auction mechanisms for a transport market with dynamic demands and supplies","authors":"Jiantao Guo ,&nbsp;Juliang Zhang ,&nbsp;T.C.E. Cheng","doi":"10.1016/j.tre.2025.103964","DOIUrl":"10.1016/j.tre.2025.103964","url":null,"abstract":"<div><div>In this paper, we study the transaction mechanism design problem for a market where shippers and carriers dynamically arrive at and depart from an online freight platform to trade their transport services over a transport network. The agents are self-interested and their valuations, costs, and arrival and departure times are private information. We propose online double auction mechanisms to dynamically match the demands and supplies and set the transaction prices for three different cases. We first consider the case that each shipper wants to procure one unit of transport service on a lane and each carrier can supply multiple units of transport service on multiple lanes, and propose the Online Bundle Double Auction (OBDA) mechanism for it. We show that the mechanism is <em>feasible, incentive-compatible</em>, <em>individually rational</em>, and <em>budget-balanced</em>. Then we further consider two more general cases: the case where the shippers have multi-unit demand on one lane and the case where the shippers have multi-unit indivisible demand on multiple lanes. We show that the framework of the OBDA mechanism can still be applied to these cases by modifying some rules. We show that the two modified mechanisms still have good properties. Moreover, we conduct numerical studies to investigate the impacts of some parameters on these mechanisms’ performance.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103964"},"PeriodicalIF":8.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resilient high-end equipment manufacturing supply chain design with irreplaceable suppliers: An IFTOPSIS-MOMIP hybrid model","authors":"Handong Zheng ,&nbsp;Xin Ye ,&nbsp;Rongsheng Chen ,&nbsp;Yi Chen","doi":"10.1016/j.tre.2024.103914","DOIUrl":"10.1016/j.tre.2024.103914","url":null,"abstract":"<div><div>In recent years, the occurrence of various natural disasters and emergencies has led to a significant increase in cases of long-term supply chain disruption, resulting in substantial impacts. Consequently, the supply chain is now confronted with greater uncertainties and risks. In this context, both scholars and enterprises are increasingly emphasizing the importance of managing supply chain resilience (SCR). However, few scholars have studied the impact of key resources in the supply chain on SCR. This research investigates network resilience performance in the design of high-end equipment manufacturing supply chains (HEEMSCs) by considering the combined effects of supplier irreplaceability on supply chain costs, supply density, and total lead time. To address this issue, we propose an Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution-Multi Objective Mixed Integer Programming (IFTOPSIS-MOMIP) hybrid model. Furthermore, we implement supplier irreplaceability parameters (SIP) to quantify the significance and level of essential competence exhibited by suppliers. To tackle specific circumstances related to MOMIP, we devise an Extreme Supported Nondominated (ESN) algorithm. Case studies demonstrate that strategic optimization of supply chain design through measures such as increasing redundancy among key suppliers and reducing dependence on a single source can mitigate cost volatility risk while enhancing order fulfillment rates (OFR).</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103914"},"PeriodicalIF":8.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable and reliable design of autonomous driving lanes: A chance-constrained extended goal programming approach","authors":"Yu Chen ,&nbsp;Wei Wang ,&nbsp;Xuedong Hua ,&nbsp;David Z.W. Wang ,&nbsp;Jian Wang","doi":"10.1016/j.tre.2025.103973","DOIUrl":"10.1016/j.tre.2025.103973","url":null,"abstract":"<div><div>As autonomous vehicles (AVs) advance and gradually integrate into urban roadways, managing traffic in mixed environments, where human-driven vehicles (HVs) coexist with AVs, has become a critical challenge. Previous research has developed several optimal network design models for autonomous driving lanes (ADLs) to partially address this issue. However, these studies largely overlook uncertainties in AV market share or travel demand, which may lead to either excessive investment in underutilized infrastructure or traffic inefficiencies with insufficient capacity. To address these challenges, this study introduces a chance constrained programming (CCP) approach with sample approximation to effectively incorporate such uncertainties while accommodating varying risk preferences. To harmonize various sustainable development goals, such as network efficiency and social equity, CCP is further combined with extended goal programming, forming the proposed chance-constrained extended goal programming (CCEGP) model in this study for sustainable and reliable ADL design. Additionally, the routing behaviors of HV and AV users, each with differing levels of traffic awareness, are unified within a mixed cross-nested logit-based stochastic user equilibrium model, thereby enhancing behavioral realism and model generalizability. The heuristic coati optimization algorithm is modified for solving, and case studies are conducted to validate its applicability.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103973"},"PeriodicalIF":8.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stochastic stay times for interrelated trips in the rural dial-a-ride problem","authors":"Lennart C. Johnsen ,&nbsp;Frank Meisel ,&nbsp;Jan F. Ehmke","doi":"10.1016/j.tre.2025.103968","DOIUrl":"10.1016/j.tre.2025.103968","url":null,"abstract":"<div><div>This paper presents a stochastic version of the dial-a-ride problem with interrelated trips. Interrelated trips refer to transportation requests where travelers need to arrive at meeting locations simultaneously or where round trips involve a specific amount of time spent at destination locations, such as for medical consultations. In this variant of the problem, the durations of the travelers’ stays are considered to be stochastic. Traveler lateness is incredibly challenging in such interrelated transportation schedules because delays can propagate across different vehicles. This is especially relevant for rural dial-a-ride systems, where travelers are restricted to a small choice of transportation services. A purposeful decision making is therefore required to orchestrate the service operations of such vehicle fleets. Hence, we look at smart ways how to enhance the reliability and attractiveness of these systems. Our approach involves a careful examination of how to approximate the distributions of the arrival and service start times of the vehicles at each customer location. To create more reliable schedules, we utilize a chance constraint and incorporate it together with enhanced feasibility checks into an Adaptive Variable Neighborhood Search metaheuristic. The obtained solutions are evaluated in a simulation environment. Through computational experiments, we explore the balance between operational costs and service reliability, as well as the effects of various service policies for managing delayed travelers (e.g., wait or go at meeting requests) on punctuality at subsequent locations.’</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103968"},"PeriodicalIF":8.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Should an electric vehicle manufacturer buy its own ship? Investment and pricing strategies under uncertainty","authors":"Yanyan Ding,&nbsp;Dong Yang","doi":"10.1016/j.tre.2025.103990","DOIUrl":"10.1016/j.tre.2025.103990","url":null,"abstract":"<div><div>Rising EV exports and regional instability have increased shipping costs. Many electric vehicle manufacturers (EVMs) purchase and operate newly built pure car and truck carriers (PCTC), which are greener and more energy-efficient than traditional car carriers, to lower shipping costs and improve global supply-chain resilience. Meanwhile, EVMs strategically adjust EV prices and production quantities in response to demand shocks caused by unexpected tariffs and economic crises in end markets. To address these challenges, a two-stage decision-making model is proposed to optimize the investing and operating strategies for the EVM. In this model, the EVM first decides whether to purchase PCTC and the ship size, and then decides the optimal EV price and production quantity facing demand uncertainty. Theoretical analysis indicates that the EVM should utilize self-operated shipping under stochastic or linear deterministic demand to enhance cost efficiency while relying on other shipowners under non-linear deterministic demand. Furthermore, the EVM should increase the EV price under the additive stochastic demand and decrease the EV price under the iso-elastic stochastic demand, compared to deterministic consumer demand. In numerical analysis, we consider an emerging EVM, NIO, that exports Chinese EVs to the European market. Numerical results suggest that the EVM should create an “artificial shortage” to maintain a tight market during increased shipping costs or rising demand uncertainty while fostering a loose market to serve all available consumers when demand uncertainty is low.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103990"},"PeriodicalIF":8.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Operational synchromodal transport planning methodologies: Review and roadmap","authors":"Yimeng Zhang ,&nbsp;Xiangrong Tan ,&nbsp;Mi Gan ,&nbsp;Xiaobo Liu ,&nbsp;Bilge Atasoy","doi":"10.1016/j.tre.2024.103915","DOIUrl":"10.1016/j.tre.2024.103915","url":null,"abstract":"<div><div>This review aims to explore the potential for synchromodal transport planning at the operational level. Synchromodal transport planning involves the optimization of the movement of freights across multiple transport modes, with the objective of minimizing cost, improving efficiency, and promoting sustainability. Through this review, we provide a roadmap for methodological developments in the area of operational synchromodal transport planning research. The roadmap provides a comprehensive categorization of different fields and their trends. The fundamentals of synchromodal transport planning are evolved to more flexible planning approaches that take practical considerations and multiple objectives into account. Dynamic planning is evolving to become more adaptive and resilient to changing environments. Finally, collaborative planning will continue to integrate both vertical and horizontal collaboration with distributed optimization approaches. With dynamic and collaborative approaches considering preferences, the full potential of synchromodal transport planning can be unlocked towards efficient and sustainable freight transportation.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103915"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal pricing and collection decisions in a two-period closed-loop supply chain considering channel inconvenience","authors":"Bocan Shu ,&nbsp;Jie Wei ,&nbsp;Hui Cao","doi":"10.1016/j.tre.2024.103869","DOIUrl":"10.1016/j.tre.2024.103869","url":null,"abstract":"<div><div>Improving recovery efficiency is a key concern for collectors in a closed-loop supply chain (CLSC) with remanufacturing, as customers often consider the inconvenience of recycling channels when returning used products. This issue profoundly affects collectors’ capacity to recover materials. In a two-period CLSC with remanufacturing, including a manufacturer and a retailer, we develop game-theoretical models in the centralized and decentralized scenarios and compare the optimal solutions, consumer surplus, social welfare and environmental impact of different models through analytical and numerical analysis. Our aim is to examine firms’ dynamic pricing strategies and collection investment decisions by considering customers’ perception of channel inconvenience. There are four main findings. Firstly, in the centralized model and the retailer collection model, the decision-maker lowers the retail price in the first period. However, in the competitive collection model, the manufacturer and the retailer raise the wholesale and retail prices in the first period, respectively. Secondly, in the retailer collection model, as the recycling revenue increases, the manufacturer, although not involved in collecting, the profit also increases due to the free-rider behavior. Thirdly, in the competitive collection model, when the remanufacturing cost savings is relatively high, the collection investment of the manufacturer is much larger than that of the retailer, resulting in the retailer failing to collect any product and giving up collecting. Finally, the collection competition improves the total collection rate and environmental performance but reduces the profit of the manufacturer and the retailer, as well as the consumer surplus and social welfare. Therefore, we design a two-part tariff contract to coordinate the decentralized model and effectively improve the performance of the supply chain.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103869"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-task deep reinforcement learning approach to real-time railway train rescheduling","authors":"Tao Tang ,&nbsp;Simin Chai ,&nbsp;Wei Wu ,&nbsp;Jiateng Yin ,&nbsp;Andrea D’Ariano","doi":"10.1016/j.tre.2024.103900","DOIUrl":"10.1016/j.tre.2024.103900","url":null,"abstract":"<div><div>In high-speed railway systems, unexpected disruptions can result in delays of trains, significantly affecting the quality of service for passengers. Train Timetable Rescheduling (TTR) is a crucial task in the daily operation of high-speed railways to maintain punctuality and efficiency in the face of such unforeseen disruptions. Most existing studies on TTR are based on integer programming (IP) techniques and are required to solve IP models repetitively in case of disruptions, which however may be very time-consuming and greatly limit their usefulness in practice. Our study first proposes a multi-task deep reinforcement learning (MDRL) approach for TTR. Our MDRL is constructed and trained offline with a large number of historical disruptive events, enabling to generate TTR decisions in real-time for different disruption cases. Specifically, we transform the TTR problem into a Markov decision process considering the retiming and rerouting of trains. Then, we construct the MDRL framework with the definition of state, action, transition, reward, and value function approximations with neural networks for each agent (i.e., rail train), by considering the information of different disruption events as tasks. To overcome the low training efficiency and huge memory usage in the training of MDRL, given a large number of disruptive events in the historical data, we develop a new and high-efficient training method based on a Quadratic assignment programming (QAP) model and a Frank-Wolfe-based algorithm. Our QAP model optimizes only a small number but most “representative” tasks from the historical data, while the Frank-Wolfe-based algorithm approximates the nonlinear terms in the value function of MDRL and updates the model parameters among different training tasks concurrently. Finally, based on the real-world data from the Beijing–Zhangjiakou high-speed railway systems, we evaluate the performance of our MDRL approach by benchmarking it against state-of-the-art approaches in the literature. Our computational results demonstrate that an offline-trained MDRL is able to generate near-optimal TTR solutions in real-time against different disruption scenarios, and it evidently outperforms state-of-art models regarding solution quality and computational time.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103900"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}