Pub Date : 2026-02-10DOI: 10.1016/j.tre.2026.104733
Chung-Shan Yang
The maritime logistics sector faces growing pressure to adapt its operations in response to escalating geopolitical disruptions and sustainability imperatives. This study develops and empirically tests an integrated structural model to examine how geopolitical shocks and sustainability requirements influence value chain restructuring, supply chain reconfiguration, and overall supply chain performance. Drawing on global value chain theory and the dynamic capabilities framework, the model is evaluated using data from 154 senior executives in the maritime logistics sector. Measurement constructs are validated through confirmatory factor analysis (CFA), and hypotheses are tested using structural equation modeling (SEM). Results reveal that sustainability requirements exert a stronger influence on long-term value chain restructuring, while geopolitical shocks significantly affect both value chain restructuring and supply chain reconfiguration. In particular, geopolitical shocks display a significant direct effect on tactical reconfiguration and a stronger effect on strategic restructuring, which in turn cascades into downstream reconfiguration. Both restructuring and reconfiguration are found to significantly enhance supply chain performance. This research offers novel empirical evidence on adaptive capabilities in maritime logistics, contributing to the theoretical understanding of supply chain resilience and informing policy and managerial strategies in an era of systemic disruption.
{"title":"Geopolitical disruptions and sustainability imperatives: a structural model of value chain and supply chain transformation in maritime logistics","authors":"Chung-Shan Yang","doi":"10.1016/j.tre.2026.104733","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104733","url":null,"abstract":"The maritime logistics sector faces growing pressure to adapt its operations in response to escalating geopolitical disruptions and sustainability imperatives. This study develops and empirically tests an integrated structural model to examine how geopolitical shocks and sustainability requirements influence value chain restructuring, supply chain reconfiguration, and overall supply chain performance. Drawing on global value chain theory and the dynamic capabilities framework, the model is evaluated using data from 154 senior executives in the maritime logistics sector. Measurement constructs are validated through confirmatory factor analysis (CFA), and hypotheses are tested using structural equation modeling (SEM). Results reveal that sustainability requirements exert a stronger influence on long-term value chain restructuring, while geopolitical shocks significantly affect both value chain restructuring and supply chain reconfiguration. In particular, geopolitical shocks display a significant direct effect on tactical reconfiguration and a stronger effect on strategic restructuring, which in turn cascades into downstream reconfiguration. Both restructuring and reconfiguration are found to significantly enhance supply chain performance. This research offers novel empirical evidence on adaptive capabilities in maritime logistics, contributing to the theoretical understanding of supply chain resilience and informing policy and managerial strategies in an era of systemic disruption.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"18 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146723","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}
Pub Date : 2026-02-09DOI: 10.1016/j.tre.2026.104739
Junkai Zhang, Kap Hwan Kim, Ningning Song, Xuehao Feng
The yard slot allocation problem (SAP), which concerns locating containers in the storage yard, could critically affect the performance of ports. The optimization of this problem is challenging due to the complex operational conditions and real-time decision requirement in practice. As a new type of layout, the U-shaped layout offers external and internal trucks (ETs and ITs) novel combinations of travel routes and container handover points that may result in unique characteristics for the SAP. This study addresses the SAP under the U-shaped layout to minimize the delay time of ITs and ETs. A novel simulation-based evaluation method considering multiple criteria is proposed to allocate slots for arriving containers. In this method, an evolving neural decision network (ENDN) is developed to explore the influence of real-time information on the weights of these criteria. We develop an efficient genetic algorithm tailored to optimize the parameters of the ENDN. A simulation model is developed to evaluate the algorithm’s performance under realistic operational uncertainties that may promote the practical implementation of the ENDN. The experimental results demonstrate that our method can determine slot allocations of shorter total vehicle delay time compared with existing methods.
{"title":"Simulation-based optimization of yard slot allocation in U-shaped container terminals","authors":"Junkai Zhang, Kap Hwan Kim, Ningning Song, Xuehao Feng","doi":"10.1016/j.tre.2026.104739","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104739","url":null,"abstract":"The yard slot allocation problem (SAP), which concerns locating containers in the storage yard, could critically affect the performance of ports. The optimization of this problem is challenging due to the complex operational conditions and real-time decision requirement in practice. As a new type of layout, the U-shaped layout offers external and internal trucks (ETs and ITs) novel combinations of travel routes and container handover points that may result in unique characteristics for the SAP. This study addresses the SAP under the U-shaped layout to minimize the delay time of ITs and ETs. A novel simulation-based evaluation method considering multiple criteria is proposed to allocate slots for arriving containers. In this method, an evolving neural decision network (ENDN) is developed to explore the influence of real-time information on the weights of these criteria. We develop an efficient genetic algorithm tailored to optimize the parameters of the ENDN. A simulation model is developed to evaluate the algorithm’s performance under realistic operational uncertainties that may promote the practical implementation of the ENDN. The experimental results demonstrate that our method can determine slot allocations of shorter total vehicle delay time compared with existing methods.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"6 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146720","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}
Pub Date : 2026-02-09DOI: 10.1016/j.tre.2026.104728
Zhengzheng Chen, Tiaojun Xiao
In response to consumer desire for a deep experience of product performance, some online sellers have strengthened their traditional money back guarantee by implementing the “returnable after a deep trial” (RADT) policy. But such a policy has also encouraged opportunistic behavior. Considering such opportunistic behavior for consumers, we build an e-commerce supply chain model to investigate the price decisions and the return strategy (implementing RADT or not) of online sellers under two selling modes: agency selling and reselling. We show that the RADT is often expensive for consumers. Besides, counterintuitively, when the online seller allows for an increased degree of deep trial, the seller is highly likely to decrease the retail price and the refund amount, simultaneously. Moreover, opportunistic consumers also have strategic value: although consumers’ opportunistic behavior under the RADT seemingly harms the online seller, in fact, the seller may generate profits by strategically encouraging opportunistic behavior. Furthermore, under agency selling, when consumers’ benefit from opportunistic behavior is not extremely small, and most ordinary consumers directly return the product, the RADT is optimal; while under reselling, the RADT is optimal if most ordinary consumers directly return the product. Surprisingly, more opportunistic consumers increase the online seller’s incentive to adopt the RADT policy.
{"title":"Returnable-after-deep-trial policies in e-commerce supply chains with opportunistic consumers","authors":"Zhengzheng Chen, Tiaojun Xiao","doi":"10.1016/j.tre.2026.104728","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104728","url":null,"abstract":"In response to consumer desire for a deep experience of product performance, some online sellers have strengthened their traditional money back guarantee by implementing the “returnable after a deep trial” (RADT) policy. But such a policy has also encouraged opportunistic behavior. Considering such opportunistic behavior for consumers, we build an e-commerce supply chain model to investigate the price decisions and the return strategy (implementing RADT or not) of online sellers under two selling modes: agency selling and reselling. We show that the RADT is often expensive for consumers. Besides, counterintuitively, when the online seller allows for an increased degree of deep trial, the seller is highly likely to decrease the retail price and the refund amount, simultaneously. Moreover, opportunistic consumers also have strategic value: although consumers’ opportunistic behavior under the RADT seemingly harms the online seller, in fact, the seller may generate profits by strategically encouraging opportunistic behavior. Furthermore, under agency selling, when consumers’ benefit from opportunistic behavior is not extremely small, and most ordinary consumers directly return the product, the RADT is optimal; while under reselling, the RADT is optimal if most ordinary consumers directly return the product. Surprisingly, more opportunistic consumers increase the online seller’s incentive to adopt the RADT policy.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"34 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146724","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}
Pub Date : 2026-02-09DOI: 10.1016/j.tre.2026.104731
Leqi Zhou, Jian Gang Jin, Yuling Gao, Çağatay Iris, Tolga Bektaş, Jiang Hang Chen
Shipping companies are under growing pressure to meet net-zero emission target under tightening regulations. To tackle this challenge, this paper extends the techno-economic predict-then-optimize framework to make long-term strategic decisions that jointly minimize greenhouse gas emissions and lifecycle costs over the planning horizon. The framework integrates a vessel-specific fuel consumption prediction model for comprehensive estimation of future emissions, and an optimization model that strategically schedules and combines multiple emission reduction methods. The optimization explicitly accounts for the techno-economic trade-offs among slow steaming, maintenance, fuel switching, and capital investments for retrofits, while ensuring compliance with carbon intensity indicator (CII) regulations and the overall net-zero emission target. A case study on several containerships demonstrates the applicability of the model, with numerical experiments showing that the predict-then-optimize framework achieves a 67% carbon reduction by 2040. Further investigations of the strategies, including illustration of transition plans, comparisons of different strategies, evaluation of marginal costs for each method, and sensitivity analysis on interest rates and regulations, are conducted to provide insights into lifecycle cost-minimizing and emission regulation-compliant strategy design.
{"title":"Techno-economic optimization for containership green transition under net-zero emission target: a predict-then-optimize framework","authors":"Leqi Zhou, Jian Gang Jin, Yuling Gao, Çağatay Iris, Tolga Bektaş, Jiang Hang Chen","doi":"10.1016/j.tre.2026.104731","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104731","url":null,"abstract":"Shipping companies are under growing pressure to meet net-zero emission target under tightening regulations. To tackle this challenge, this paper extends the techno-economic predict-then-optimize framework to make long-term strategic decisions that jointly minimize greenhouse gas emissions and lifecycle costs over the planning horizon. The framework integrates a vessel-specific fuel consumption prediction model for comprehensive estimation of future emissions, and an optimization model that strategically schedules and combines multiple emission reduction methods. The optimization explicitly accounts for the techno-economic trade-offs among slow steaming, maintenance, fuel switching, and capital investments for retrofits, while ensuring compliance with carbon intensity indicator (CII) regulations and the overall net-zero emission target. A case study on several containerships demonstrates the applicability of the model, with numerical experiments showing that the predict-then-optimize framework achieves a 67% carbon reduction by 2040. Further investigations of the strategies, including illustration of transition plans, comparisons of different strategies, evaluation of marginal costs for each method, and sensitivity analysis on interest rates and regulations, are conducted to provide insights into lifecycle cost-minimizing and emission regulation-compliant strategy design.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"91 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146722","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}
Pub Date : 2026-02-09DOI: 10.1016/j.tre.2026.104735
Zhitang Li, Zhifeng Qian, Peng He
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.
{"title":"Recycling strategies under carbon policies with platform financing","authors":"Zhitang Li, Zhifeng Qian, Peng He","doi":"10.1016/j.tre.2026.104735","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104735","url":null,"abstract":"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.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"45 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-09","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}
Pub Date : 2026-02-06DOI: 10.1016/j.tre.2026.104714
Xuan Lu, Yu Zhang, Xuri Xin, Hang Yang, Huanhuan Li, Lanbo Zheng, Zaili Yang
{"title":"Hierarchical planning and scheduling for bulk ports via network flow and deep reinforcement learning-guided constraint programming","authors":"Xuan Lu, Yu Zhang, Xuri Xin, Hang Yang, Huanhuan Li, Lanbo Zheng, Zaili Yang","doi":"10.1016/j.tre.2026.104714","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104714","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"33 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135122","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}
Pub Date : 2026-02-05DOI: 10.1016/j.tre.2026.104708
Tingsong Wang, Haiqing Zhou, Xuecheng Tian
{"title":"Drone scheduling optimization for shore-to-ship delivery and waste recycling","authors":"Tingsong Wang, Haiqing Zhou, Xuecheng Tian","doi":"10.1016/j.tre.2026.104708","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104708","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"310 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135140","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}
Pub Date : 2026-02-03DOI: 10.1016/j.tre.2026.104720
Shuanglu Zhang, Xiuwen Wang, Lu Zhen
{"title":"Shipping service design for wind-assisted ships","authors":"Shuanglu Zhang, Xiuwen Wang, Lu Zhen","doi":"10.1016/j.tre.2026.104720","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104720","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"5 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110216","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}
Pub Date : 2026-02-03DOI: 10.1016/j.tre.2026.104719
Yukuan Wang, Ryan Wen Liu, Jingxian Liu, Lichao Yang, Yang Liu, Miquel Angel Piera Eroles
{"title":"Resilient RoRo fleet scheduling for mixed EV and ICEV transport demand: An optimization framework for EV dedicated service strategy","authors":"Yukuan Wang, Ryan Wen Liu, Jingxian Liu, Lichao Yang, Yang Liu, Miquel Angel Piera Eroles","doi":"10.1016/j.tre.2026.104719","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104719","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"3 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110217","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}
Pub Date : 2026-02-03DOI: 10.1016/j.tre.2026.104700
Yanqin Chen, Changxin Liao, Jia Yao, David Z.W. Wang, Anthony Chen
{"title":"A model for queuing toll policies incorporating cost-sharing characteristics of carpooling in the transportation network with capacity constraints","authors":"Yanqin Chen, Changxin Liao, Jia Yao, David Z.W. Wang, Anthony Chen","doi":"10.1016/j.tre.2026.104700","DOIUrl":"https://doi.org/10.1016/j.tre.2026.104700","url":null,"abstract":"","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"86 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110215","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}
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