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

{"title":"Benefits of vendor-managed inventory for the reverse logistics operations of returnable transport items","authors":"Vivien Schoepf ,&nbsp;Arne K. Strauss ,&nbsp;Moritz Fleischmann","doi":"10.1016/j.tre.2025.104439","DOIUrl":"10.1016/j.tre.2025.104439","url":null,"abstract":"<div><div>As closed-loop supply chains are gaining importance in many industries as key enablers of reduced waste and ecological footprint, new challenges arise in integrating forward and reverse logistic flows. We focus on a variant of the production routing problem and explore the benefits of vendor-managed inventory (VMI) policies for the reverse logistics operations of returnable transport items. A stochastic two-stage program accounting for the considerable uncertainty of return flows is developed and solved using sample average approximation and relaxation-based bounds. We find that the benefits of VMI are not only linked to lower operational costs but also higher performance stability. Further, in hybrid networks of partially VMI and non-VMI nodes, the strategic selection of nodes for VMI implementation can positively impact network performance.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"205 ","pages":"Article 104439"},"PeriodicalIF":8.8,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271307","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":"How do B2C and C2C ride-sourcing platforms perform with and without market aggregation: Theoretical analysis","authors":"Gege Jiang ,&nbsp;Xin Zhang ,&nbsp;Xiaoran Qin ,&nbsp;Jiemin Xie","doi":"10.1016/j.tre.2025.104450","DOIUrl":"10.1016/j.tre.2025.104450","url":null,"abstract":"<div><div>Recently, there has been a rapid growth in third-party aggregation platforms that simultaneously integrate ride-sourcing companies and travelers. Travelers on the aggregation platform can select one or more companies, and the aggregation platform will choose the optimal matching vehicle from the chosen companies to provide services. Company aggregation refers to the process through which independent ride-sourcing companies access and accept dispatching from aggregation platforms. Company aggregation is an irreversible market trend. This study aims to explore the impact of different types of company aggregation on multiple stakeholders and their decisions in the market. Passenger travel choices and competitive interactions among ride-sourcing companies are modeled and subsequently validated through numerical simulations. Two prevailing business models, business-to-consumer (B2C) and customer-to-customer (C2C), are explicitly incorporated. The impacts of company aggregation are then examined under three distinct scenarios: (i) aggregation among B2C companies, (ii) aggregation among C2C companies, and (iii) simultaneous aggregation encompassing both B2C and C2C companies. Theoretical analysis indicates that under certain conditions, all three aggregation scenarios can reduce travel costs and increase total demand. The numerical experiments first evaluates the market efficiency of company aggregation under fixed pricing, thereby verifying the conclusions of the theoretical analysis. The reduction in travel costs can reach up to 9.6%. However, aggregation may potentially decrease the profits of some companies. Consequently, this study investigates the impact of aggregation on companies’ pricing strategies and profit changes. The numerical experiments demonstrate that only when the aggregated companies collaborate on pricing within a certain range can a win-win outcome be achieved. This study provides a reference for different types of companies to develop management strategies after company aggregation.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"205 ","pages":"Article 104450"},"PeriodicalIF":8.8,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271306","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":"Pricing and equity in strategic berth allocation problem considering general and dedicated service modes","authors":"Liming Guo ,&nbsp;Jianfeng Zheng ,&nbsp;Jian Du","doi":"10.1016/j.tre.2025.104477","DOIUrl":"10.1016/j.tre.2025.104477","url":null,"abstract":"<div><div>Port operators can enhance their competitiveness by strategically adjusting service charges to attract more vessels from neighboring ports. In terms of service equity and profitability of the port, a novel vessel-oriented and port-oriented strategic berth allocation problem (SBAP) is proposed to determine the service fee charged to each liner carrier and the accepted number of arriving vessels in a port. In addition, two service modes in the port are introduced: the general service where incoming vessels from liner carriers share general berths and queue for service, and the dedicated service where selected berths are reserved for a specific liner carrier, exclusively serving its vessels. By modeling vessels and berths as customers and servers, we formulate the SBAP as a queueing system with different queueing structures corresponding to each service mode. To maximize port profits while ensuring service equity among liner carriers, a bi-objective mixed integer programming (BMIP) model based on queueing theory is formulated by determining the proper pricing, queueing structure and the quantity of dedicated berths reserved for individual liner carrier. To efficiently solve the BMIP model and obtain the Pareto frontier, we design a solution approach combining the ε-constraint method with a non-dominated sorting strategy. Numerical experiments demonstrate the effectiveness of the proposed model and solution method.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"205 ","pages":"Article 104477"},"PeriodicalIF":8.8,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145248022","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":"Supply chain resilience modeling based on dynamic hypergraph and quantum reinforcement learning for low-altitude-ground networks","authors":"Bo Lv","doi":"10.1016/j.tre.2025.104458","DOIUrl":"10.1016/j.tre.2025.104458","url":null,"abstract":"<div><div>This study proposes an innovative resilience optimization framework integrating dynamic hypergraph theory and quantum reinforcement learning to address the unique structural characteristics and vulnerabilities of low-altitude economic supply chain networks. By incorporating multi-source supply chain data, we construct a dynamic hypergraph model based on Spearman rank correlation, revealing the hub-and-spoke topological features of low-altitude supply networks. Utilizing quantum state encoding and entanglement gate optimization techniques, we develop a quantum reinforcement learning algorithm with stable convergence properties for real-time optimization in high-dimensional decision spaces. Furthermore, we establish a quantum-inspired anomaly detection system that effectively identifies systemic risks through spectral analysis and multivariate statistical process control. Model validation results confirm the framework’s capability to accurately capture seasonal fluctuation patterns in low-altitude supply chains and provide early warnings for critical infrastructure nodes. The proposed approach significantly reduces seasonal disruption durations while avoiding off-peak resource redundancy through strategic inventory buffering of key hub nodes and dynamic supplier adjustments. The research contributes three key aspects to low-altitude supply chain management: (1) topology-aware planning methods based on hypergraph centrality metrics, (2) quantum adaptive optimization strategies incorporating temporal patterns, and (3) proactive risk management systems driven by quantum spectral analysis. This work not only provides novel management tools for emerging low-altitude economic systems but also opens new research pathways for resilience optimization in complex supply chain networks.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104458"},"PeriodicalIF":8.8,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267342","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 hierarchical integrated exact algorithm for multi-level capacitated arc routing problem in waste collection","authors":"Chenge Wei,&nbsp;Ada Che,&nbsp;Li Xue","doi":"10.1016/j.tre.2025.104441","DOIUrl":"10.1016/j.tre.2025.104441","url":null,"abstract":"<div><div>This paper explores a practical waste collection system where manually operated vehicles and compressor-equipped vehicles interact at waste collection huts. A multi-level capacitated arc routing problem is studied within this context to integrate the optimisation of travel costs for both types of vehicles. To address this issue, a flow-based mixed-integer linear programming model is established. Then, we develop a hierarchical integrated exact algorithm that leverages the structure of logic-based Benders decomposition. The problem is decomposed into a master problem, which determines the trips for manually operated vehicles, an assignment problem that constructs the multi-trip routes, and a subproblem that determines the routes for compressor-equipped vehicles. Logic-based feasibility cuts and optimality cuts are generated from the assignment problem and the subproblem, respectively, to restrict the master problem. To tackle complex subproblems, we design an elaborate branch-and-price algorithm. Additionally, several dedicated acceleration strategies are implemented to further enhance the algorithm. The experimental results are conducted on 225 instances derived from two types of well-known benchmarks. The proposed algorithm efficiently solves this problem and significantly outperforms the commercial optimisation software. The results also demonstrate that the acceleration strategies notably reduce computation time.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104441"},"PeriodicalIF":8.8,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267343","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":"Regulated closed-loop supply chains for climate change mitigation: interplays of policies, strategies, and sustainability impacts","authors":"Busra Bayrak,&nbsp;Tsan-Ming Choi,&nbsp;Shu Guo","doi":"10.1016/j.tre.2025.104442","DOIUrl":"10.1016/j.tre.2025.104442","url":null,"abstract":"<div><div>Climate change is an urgent challenge, which requires solutions from a paradigm shift to sustainable closed-loop supply chain (CLSC) operations. To achieve best results, governments play a central role. In this paper, we aim to review diverse perspectives and provide a comprehensive overview of the current state of CLSCs under government intervention, referred as regulated CLSCs (R-CLSCs). We build a novel taxonomy on regulated CLSCs, which includes problem characteristics, covering “scenarios”, “government intervention” and “impact”. We highlight their relevance to sustainability and climate change mitigation. Based on the reviewed results, we identify various research gaps, propose pertinent directions for further studies and establish the future research agendas with important research questions. This paper lays the foundation for studies on regulated CLSCs with a focus on the interplays of policies, strategies and sustainability impacts.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104442"},"PeriodicalIF":8.8,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267344","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":"Geopolitical disruptions in global supply chains: The role of strategic alliances","authors":"Amin Ahmadi Digehsara ,&nbsp;Mohamadsadra Nejati ,&nbsp;Amir Ardestani-Jaafari ,&nbsp;Sina Rastani ,&nbsp;Sam Aflaki","doi":"10.1016/j.tre.2025.104448","DOIUrl":"10.1016/j.tre.2025.104448","url":null,"abstract":"<div><div>Recent geopolitical disruptions, such as tariff surges, trade sanctions, and regulatory fragmentation, have introduced significant uncertainty into global supply chain network design. In this paper, we investigate how firms can leverage strategic alliances as a risk mitigation mechanism in response to two prominent forms of trade restrictions: (i) direct tariff impositions and (ii) quota-based trade barriers. We propose a two-stage robust optimization framework that models strategic alliances as an exogenous parameter, capturing their influence on trade costs and operational flexibility. The framework integrates long-term decisions, such as facility location and capacity planning, with short-term allocation decisions under uncertainty. To reflect realistic service-level obligations often present in global contracts, we also introduce a demand commitment constraint, requiring that a minimum fraction of customer demand be fulfilled across markets. We develop two tractable models: (i) a mixed-integer linear programming (MILP) reformulation for tariff-driven disruptions, and (ii) a two-stage robust model tailored to quota constraints, which are more complex. Using both hypothetical and real-world data, our results demonstrate that strategic alliance structures significantly improve worst-case profitability, particularly in high-uncertainty environments. Remarkably, even a single strategic alliance between a pair of countries can lead to approximately a 50% improvement in worst-case profitability. These findings highlight the value of incorporating strategic alliances into global supply chain network design.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104448"},"PeriodicalIF":8.8,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145267813","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":"Cross-market risk contagion and portfolio diversification: a novel dynamic connectedness framework for fossil fuel and shipping markets","authors":"Shuiyang Chen ,&nbsp;Bin Meng ,&nbsp;Liang Lv","doi":"10.1016/j.tre.2025.104443","DOIUrl":"10.1016/j.tre.2025.104443","url":null,"abstract":"<div><div>With geopolitical tensions and global uncertainties on the rise, the transmission of shocks from energy to shipping markets has intensified, triggering a renewed and urgent interest in the energy-shipping interconnection. This paper applies a dynamic connectedness approach based on the DCC-GARCH framework to examine the relationship between oil/coal prices and their corresponding shipping route freight rates. We also construct an innovative portfolio technique focused on minimizing connectedness within the DCC-GARCH model. Furthermore, we quantify the risk contagion between these markets using the Copula-GARCH-CoVaR method. Empirical results suggest that portfolios can benefit from diversification by incorporating both oil/coal and shipping assets. Notably, the minimum connectedness portfolio technique offers substantial risk reduction and return enhancement. We identify an asymmetric risk contagion between the oil/coal and shipping markets, with risks propagating more rapidly and intensively from oil/coal markets to shipping markets. Both upside and downside risks in oil/coal and shipping assets are significantly underestimated. Additionally, deadweight tonnage and shipping route distance influence the degree of risk contagion, with larger tonnages and longer routes amplifying the transmission of oil/coal price risk to shipping freight rate.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104443"},"PeriodicalIF":8.8,"publicationDate":"2025-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228836","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 quality design of smart technologies for port digitalization: A game theoretical approach under digitalization synergy","authors":"Kunpeng Li ,&nbsp;Lan Wang ,&nbsp;Amir Gharehgozli ,&nbsp;Seong-Jong Joo ,&nbsp;Jun-Yeon Lee","doi":"10.1016/j.tre.2025.104459","DOIUrl":"10.1016/j.tre.2025.104459","url":null,"abstract":"<div><div>Smart ports improve operational efficiency through innovative technologies and data-driven solutions. A key strategic decision in the digitalization process is the quality level of smart technologies adopted. This paper examines optimal quality design under the landlord port model framework, where a port authority and a terminal operator jointly influence digital transformation. We develop three game-theoretic models to analyze how governance structures, digitalization synergy and transition uncertainties affect quality and pricing decisions as well as port performance. We first examine a profit-maximizing base model and find that both stakeholders choose the same quality level to fully capture digitalization synergy. We then investigate a social welfare–maximizing model, where the port authority acts as a social planner. We find that both stakeholders invest in higher quality technologies and the port authority overinvests relative to the terminal operator to enhance social welfare. We lastly extend the base model to incorporate real-world uncertainties through a transitional period, where traditional and smart services coexist. Numerical analysis shows that under moderate to high transition uncertainties, the port authority tends to invest in higher quality. However, when transition uncertainties are low, or when strong synergy mitigates the risks associated with high uncertainties, the terminal operator chooses higher quality level. Our findings highlight the critical role of synergy, public governance, and transition uncertainty in the port digitalization process.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104459"},"PeriodicalIF":8.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220352","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":"Pricing policy and queue-length disclosure in on-demand service platforms","authors":"Donghao Zhu ,&nbsp;Stefan Minner ,&nbsp;Martin Bichler","doi":"10.1016/j.tre.2025.104422","DOIUrl":"10.1016/j.tre.2025.104422","url":null,"abstract":"<div><div>Online service platforms, such as ride-hailing and freight exchanges, generate revenue and profits through commissions. To attract users and maximize profit while managing platform costs, these platforms strategically implement different pricing and queue-length disclosure policies. Dynamic pricing based on queue length can increase revenue but may also reduce user loyalty, leading to higher platform costs. The choice of queue-length disclosure policy influences customer balking behavior: revealing queue lengths may deter users from joining if they perceive the wait as too long, while not disclosing the queue length leads customers to decide probabilistically, driven by uncertainty about the wait time. We analyze a two-sided queueing model in which both customers and suppliers arrive randomly, queue separately, and engage in immediate matching at the front of the queue. We examine different pricing and queue-length disclosure policies to maximize the platform’s expected profit. Optimizing the underlying semi-Markov decision process requires solving a non-convex quadratically constrained quadratic program. Through uniformization, we derive and solve the optimality equations, and then compare the resulting optimal prices, profits, and throughput. Our findings indicate that pricing and queue-length disclosure policies are complementary. Specifically, dynamic pricing and visible queue lengths both increase expected profit, while static pricing and invisible queue lengths both increase throughput. These outcomes are driven by changes in the average transaction price under different policies. We identify unique thresholds that determine the preferred pricing and queue-length disclosure policies. The choice of pricing policy depends on the extra cost of implementing dynamic pricing compared to a static price, while the selection of queue-length disclosure policy depends on customer sensitivity to service delay.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"204 ","pages":"Article 104422"},"PeriodicalIF":8.8,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228871","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}