Xiaochen Yue , Xiling Cui , Qianwen Wang , Baofeng Huo
{"title":"Shaping the reality of temporary supply network for humanitarian relief through social media: A quasi-natural field experiment on the socio-technical system","authors":"Xiaochen Yue , Xiling Cui , Qianwen Wang , Baofeng Huo","doi":"10.1016/j.tre.2026.104706","DOIUrl":"10.1016/j.tre.2026.104706","url":null,"abstract":"<div><div>Coordinating temporary supply networks (TSNs) presents significant challenges due to the heterogeneity of participant backgrounds, objectives, and values. This study investigates whether TSNs can function effectively as socio-technical systems to facilitate coordination and enhance performance. Leveraging a quasi-natural field experiment during the initial outbreak of COVID-19, this study employs ordinary least squares (OLS) regression analysis based on data from 225 relief actors participating in TSNs for humanitarian relief. It investigates how TSNs operate as socio-technical systems, emphasizing the cornerstone role of the technical subsystem. The results reveal a serial mediating effect: social media use improves delivery performance by fostering relief actors’ affective commitment and subsequent coordination practices. Moreover, the affordance of searchability provided by social media platforms positively moderates the relationship between affective commitment and coordination practices. This study enriches the TSN management literature by advancing a socio-technical system perspective and extends this framework by underscoring the pivotal role of the technical subsystem in an era of digital transformation. In addition, this study offers practical insights by emphasizing the critical role of digital technologies in TSNs for humanitarian relief and encouraging the strategic mobilization of social resources to strengthen coordination capabilities.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104706"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110218","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}
Peixiang Wang , Hongye Zhao , Yufei Li , Runzhi Tan , Qunlong Chen , Wei Qin , Heng Huang , Yu Tian , Dong Xu
{"title":"Hybrid optimization strategies for terminal-oriented container stowage and relocation in large port operations","authors":"Peixiang Wang , Hongye Zhao , Yufei Li , Runzhi Tan , Qunlong Chen , Wei Qin , Heng Huang , Yu Tian , Dong Xu","doi":"10.1016/j.tre.2026.104722","DOIUrl":"10.1016/j.tre.2026.104722","url":null,"abstract":"<div><div>Efficient container stowage planning in large port operations is paramount for ensuring vessel stability, navigational safety, and overall terminal efficiency, especially under the growing demands for smarter and greener maritime logistics. Port operators must meticulously arrange thousands of containers, adhering to preliminary plans from shipping lines while optimizing for critical factors such as weight distribution, minimization of container relocations within the yard, and seamless integration with dynamic terminal operational processes like twin-lift handling and quay crane workflows. This study proposes an optimization framework to generate complete stowage plans for large vessels from the terminal’s perspective, distinguished by its ability to identify and eliminate complex relocation patterns involving multiple containers. An efficient solution methodology is designed, integrating mixed-integer programming models for initial bay allocation and subsequent slot positioning, followed by an advanced neighborhood search algorithm. This search algorithm incorporates a novel graph-based relocation detection technique, utilizing matrix exponentiation to identify and minimize complex k-cycle relocation patterns. Based on operational data from a major international terminal (Yangshan Port), extensive numerical experiments and a real-world case study were conducted. The results validate the framework’s capability to produce robust, high-quality stowage plans for large vessels about 10 minutes, leading to a 16.8% reduction in container relocations and enhanced terminal efficiency, thereby offering valuable managerial insights for advanced stowage planning.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104722"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153278","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}
Wenhao Peng , Dujuan Wang , Hengfei Yang , T.C.E. Cheng
{"title":"Robust drone delivery with partial recharging strategy in urban medical logistics","authors":"Wenhao Peng , Dujuan Wang , Hengfei Yang , T.C.E. Cheng","doi":"10.1016/j.tre.2026.104732","DOIUrl":"10.1016/j.tre.2026.104732","url":null,"abstract":"<div><div>The rapid development of smart cities has prompted the upgrading of drone transport services. This study examines a new variant of the drone routing problem (DRP), which considers a homogeneous group of drones transporting medical supplies to multiple hospitals or medical centers with pre-specified deadlines. On each trip, the drone is allowed to land on existing charging platforms, with decisions made regarding when and where to recharge, as well as the duration of each charging session. We also consider that the drone flight time is uncertain, and the drone power consumption is nonlinearly dependent on its payload. To address this problem, we first propose a robust optimization model grounded in the well-known budgeted uncertainty set. Subsequently, we design a tailored branch-and-price (B&P) algorithm. This algorithm employs a variable neighborhood search (VNS) strategy to effectively solve the subproblem. In VNS, we develop four kinds of neighborhood structures to explore the solution space effectively. Also, to avoid falling into a local optimum, a shaking operation is introduced. Extensive numerical experiments are conducted to evaluate the algorithm’s effectiveness, highlight the advantages of robustness in handling uncertainty, and examine how critical model parameters influence the resulting solutions. Finally, we also use the real data of the blood center in Chongqing, China, to illustrate the application of the model.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104732"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153272","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}
Quanyao Cao , T.C. Edwin Cheng , Shun Jia , Yang Liu
{"title":"Financing strategy for industrial symbiosis chains with a capital-constrained upstream manufacturer considering by-product supply-demand mismatch","authors":"Quanyao Cao , T.C. Edwin Cheng , Shun Jia , Yang Liu","doi":"10.1016/j.tre.2026.104717","DOIUrl":"10.1016/j.tre.2026.104717","url":null,"abstract":"<div><div>As a subfield of the circular economy, industrial symbiosis has rapidly emerged as a development mode that efficiently utilizes waste resources and reduces environmental pollution. However, challenges in industrial cooperation and inadequate corporate financing support have hindered its development. We consider an industrial symbiosis chain consisting of a capital-constrained upstream manufacturer and a downstream manufacturer, where the latter can reuse the upstream manufacturer’s by-product to replace raw materials for production. We analyze purchase order financing as pre-shipment financing and factoring as post-shipment financing, while also considering buyer direct financing as an alternative pre-shipment financing method and purchase commitment as a specific type of smart contract. Given the uncertainty in market demands and the mismatch between the supply and demand of by-products, we develop a two-stage game theoretical model to analyze firms’ production decisions and explore the role of different financing modes. In addition, we examine information friction in both financing and symbiotic aspects and investigate the value of smart contracts within the industrial symbiosis chain. Furthermore, we extend our study to utilize Pigouvian taxation to internalize environmental pollution externalities. This innovation in the financing mode of the industrial symbiotic chain provides theoretical support for supply chain finance aimed at promoting industrial symbiosis and enhancing industrial cooperation through the adoption of smart contracts.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104717"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161073","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}
Yaoxin Wu , Yue Yu , Lingxiao Wu , Tao Feng , Lu Zhang , Zhenkun Wang , Jie Gao
{"title":"Deep reinforcement learning approach to solving clustered vehicle routing problems","authors":"Yaoxin Wu , Yue Yu , Lingxiao Wu , Tao Feng , Lu Zhang , Zhenkun Wang , Jie Gao","doi":"10.1016/j.tre.2026.104742","DOIUrl":"10.1016/j.tre.2026.104742","url":null,"abstract":"<div><div>Clustered vehicle routing problems (CluVRPs) represent a complex class of combinatorial optimization problems with significant real-world relevance. They extend classic VRPs by introducing pre-specified customer clusters and requiring effective routing both between clusters and within each cluster. While numerous deep learning approaches have been developed to address the standard VRP, research on CluVRPs remains relatively limited, presenting opportunities and challenges for advancing solutions to more practical VRPs with cluster-related constraints. This paper offers a deep reinforcement learning (DRL) approach to solving CluVRPs. We propose a cluster-aware attention module in the encoder, along with inter-cluster and intra-cluster decoders to specialize the constructive policies within and between clusters. Symmetrical data augmentation is adopted in the training to improve the performance. Empirical results in different CluVRP variants manifest that the DRL method outperforms existing approaches, consistently offering advantages for various instances.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104742"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174547","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":"Incentive provision for consumer deliberation in a supply chain with dual-purpose organizations","authors":"Hui Liu , Guanghua Song , Song Huang","doi":"10.1016/j.tre.2026.104738","DOIUrl":"10.1016/j.tre.2026.104738","url":null,"abstract":"<div><div>This study investigates firms’ incentive provision decisions for consumer deliberation in a dyadic supply chain wherein consumers face valuation uncertainty regarding a new product. In contrast to conventional models focusing solely on pure profit maximization, we consider a manufacturer and retailer who also value consumer surplus. Using a game-theoretical model, we analyze two scenarios: one where the manufacturer has a dual-purpose concern and another where the retailer does. The strategic interaction between the firm’s concern for consumer surplus and consumers’ deliberation behavior yields nontrivial implications for equilibrium strategies and channel performance. First, the firm’s dual-purpose concern fundamentally alters the manufacturer’s incentive provision strategies. Specifically, the manufacturer’s incentive to inhibit consumer deliberation increases with the firm’s degree of concern for consumer surplus, with this effect amplified in the case of the dual-purpose retailer. Second, counter to the intuition that a dual-purpose retailer would be worse off by deviating from pure profit maximization, we find that in certain scenarios, the retailer’s dual-purpose orientation can yield a “win-win” situation for both firms. However, this outcome does not occur when the manufacturer adopts a dual-purpose focus. Third, both the deliberation cost and degree of concern regarding consumer surplus exhibit non-monotonic effects on the firms’ profits. Notably, consumer surplus and social welfare with a dual-purpose retailer are superior, or at least equivalent, to those with a dual-purpose manufacturer. Finally, the main results remain qualitatively valid when both firms are concerned about consumer surplus or when either firm places excessive focus on the same.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104738"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152702","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":"Digital platforms in supply chain and logistics management: A systematic literature review","authors":"Booi Kam , Kamrul Ahsan , Hepu Deng , Sophia Duan","doi":"10.1016/j.tre.2026.104737","DOIUrl":"10.1016/j.tre.2026.104737","url":null,"abstract":"<div><div>Digital platforms (DPs) have dramatically transformed supply chain and logistics management (SCLM). How DPs have contributed to supply chains and logistics operations, however, have not been systematically documented. This study examines the roles DPs play in SCLM. Through a systematic review of 251 peer-reviewed quality journal articles published between 2006 and 2025, this study identifies four key DP roles: service agency, solution incubator, mission-specific outcome shaper, and performance booster. Analyzing the interdependency linkages between the four roles, this study develops an integrated framework, capturing six sets of mutually reinforcing relationships that gives rise to a DP-orchestrated value growth cycle. The theoretical and practical implications of these relationships are discussed, including the converging roles between DPs and conventional fourth-party logistics service providers. This study also identifies the noticeable gaps in the literature and proposes an agenda for future research in a range of areas. Reviewing the interrelationships between the roles DPs have played in the SCLM landscape, this study extends the research horizon in this domain as more artificial intelligence (AI)-powered algorithms continue to propel their ways into different facets of SCLM practices.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104737"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174548","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":"Recycling strategies under carbon policies with platform financing","authors":"Zhitang Li , Zhifeng Qian , Peng He","doi":"10.1016/j.tre.2026.104735","DOIUrl":"10.1016/j.tre.2026.104735","url":null,"abstract":"<div><div>Given governmental regulations and environmental repercussions associated with apparel manufacturing and disposal, many manufacturers engage in recycling. Typically, manufacturers either recycle directly from consumers or through retail platforms. However, retail platforms often encounter financial constraints when developing recycling businesses. A key challenge in reverse logistics lies in the efficient and cost-effective collection and processing of used apparel, particularly given the complexities of governmental regulations and financial constraints. Against this backdrop, we develop an apparel closed-loop supply chain model to examine recycling strategies under different carbon policies (e.g., carbon emission reduction subsidies and carbon tax policies) and a hybrid financing scheme that incorporates both equity financing and bank loans. Our key findings are as follows. Firstly, from the perspective of the economic benefits of the supply chain entities, carbon subsidies provide stronger incentives for manufacturers and platforms to recycle more effectively than carbon tax policies. Secondly, in situations where the initial market demand for new products is low and the equity financing ratio is high, firms are inclined to set higher retail and wholesale prices. Thirdly, higher equity financing ratios prompt manufacturers to offer greater recycling incentive prices. Finally, we derive the optimal choice between the government’s carbon emission reduction subsidy and carbon tax policy, and discuss the most effective clothing recycling strategies for manufacturers and retail platforms. In the extended model, we investigate the optimal recycling strategy in the case of equity financing failures.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104735"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146721","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}
Hyunhwa Kim, Denissa Sari Darmawi Purba, Eleftheria Kontou
{"title":"Bidirectional energy supply logistics using uncrewed electric aerial and ground vehicles: A two-echelon location-routing problem with resource-constrained demand allocation and time windows","authors":"Hyunhwa Kim, Denissa Sari Darmawi Purba, Eleftheria Kontou","doi":"10.1016/j.tre.2026.104726","DOIUrl":"10.1016/j.tre.2026.104726","url":null,"abstract":"<div><div>In the aftermath of hazards, energy supply to demand nodes is constrained due to power outages caused by damaged infrastructure. Electric uncrewed ground vehicles (UGVs) and aerial vehicles (UAVs) can play a crucial role in providing backup power, discharging energy directly to meet demand, and recharging en-route if necessary. However, charging infrastructure that replenishes backup power has limited capacity and can be inoperable due to disruptions of the main power system. Since certain energy demands are urgent in post-disaster contexts (i.e., healthcare loads), UGVs and UAVs prioritize these critical needs. As a result, UGVs and UAVs may meet only portion of the energy needs due to constrained resources. This research aims to design a bidirectional energy supply logistics model, as a two-echelon electric vehicle location-routing problem with resource-constrained demand allocation and time windows, employing UGVs and UAVs. The first echelon involves deploying UGVs and UAVs from a depot to satellite charging locations. In the second echelon, these vehicles travel from satellites to serve local energy demand, either fully or partially within the constrained resource budget discharging their batteries and recharging en-route as needed. We formulate this model and propose a metaheuristic solution which consists of a two-stage approach based on the adaptive large neighborhood search. Numerical experiments on benchmark instances were conducted to evaluate the novel heuristic’s performance compared to a commercial solver. Sensitivity analysis was carried out to examine the impact of UAV and UGV batteries capacity, budget for charging infrastructure, and the amount of energy resources. We applied our model to a real-world case of post-wildfire humanitarian aid in California’s counties aiming to supply energy during large-scale power loss in the region.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104726"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152642","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":"Integrated optimization of berth allocation and green energy bunkering for vessels","authors":"Tingsong Wang , Yuhang Zhou , Zheng Xing","doi":"10.1016/j.tre.2026.104694","DOIUrl":"10.1016/j.tre.2026.104694","url":null,"abstract":"<div><div>Optimizing port operational efficiency is essential for sustainable maritime logistics. However, traditional methods that address berth allocation or bunkering scheduling separately often produce suboptimal results due to their interdependencies, leading to low port turnaround efficiency. To address this, this paper proposes an integrated problem that jointly considers berth allocation, bunkering mode selection, and bunkering scheduling. The problem is formulated as a mixed-integer programming (MIP) model to minimize system costs, including vessel delay, berth deviation, and bunkering vessel operating costs under practical constraints. Then, an enhanced adaptive large neighborhood search (ALNS) algorithm with specialized operators and perturbation mechanisms is developed to solve it. Computational experiments demonstrate that the proposed algorithm performs well, and the model significantly reduces total costs compared with the two-step solution approach, especially under elevated port operational loads. Sensitivity analyses reveal how the numbers of berths and bunkering vessels jointly influence overall performance, offering practical insights for improving operational coordination and promoting sustainable port management.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"209 ","pages":"Article 104694"},"PeriodicalIF":8.8,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110250","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}