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

{"title":"Joint optimization of product design and manufacturing inventory in a C2M supply chain","authors":"Xingliao Wan ,&nbsp;Yugang Yu ,&nbsp;Yifei Luo ,&nbsp;Ye Shi","doi":"10.1016/j.tre.2024.103855","DOIUrl":"10.1016/j.tre.2024.103855","url":null,"abstract":"<div><div>Motivated by the prevalence of Consumer-to-Manufacturer (C2M) programs in retail platforms, this study considers a Vendor Managed Inventory (VMI) supply chain system, consisting of a retail platform and a manufacturer, which designs and sells a new product to a market of customers. Particularly, the manufacturer’s design of the product’s attributes would affect the conversion rate of the customers who click the web links to the product, and customer demand for the product eventually. The manufacturer jointly plans the product design and inventory control in this model. By exploring the model, we demonstrate that the manufacturer makes inventory decisions following a modified base-stock policy dependent on the conversion rate, and adjusts the product design as the inventory cost rate increases. Furthermore, we find the manufacturer’s separate plan of product design and inventory control harms the manufacturer but can benefit the retail platform and the entire supply chain. This finding can explain why the manufacturer’s separate plan is a widely observed phenomenon in practical C2M programs. We further propose a hybrid contracting scheme, which combines quantity discount and cost sharing contracts, to coordinate the supply chain system. Two-fold extensions of the main model, heterogeneous customer valuation and dynamic product design, have also been considered.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103855"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788860","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":"Joint optimization of order picking and replenishment in robotic mobile fulfillment systems","authors":"Jingwen Wu,&nbsp;Zhiyuan Yang,&nbsp;Lu Zhen,&nbsp;Wenxin Li,&nbsp;Yiran Ren","doi":"10.1016/j.tre.2024.103930","DOIUrl":"10.1016/j.tre.2024.103930","url":null,"abstract":"<div><div>Advancements in intelligent warehousing have spotlighted the robotic mobile fulfillment system as a transformative solution for modern logistics challenges. This paper introduces a five-stage mixed-integer programming model designed to optimize the robotic mobile fulfillment system (RMFS) by minimizing the longest completion time, a critical metric in warehouse efficiency. Our comprehensive model strategically integrates the assignment of orders to stations and pods, the deployment of pods to robots, and the intricate details of route planning, order picking, and replenishment. Utilizing a variable neighborhood search algorithm, we not only tackle the complex scheduling decisions among orders, robots, stations, and pods but also demonstrate the model’s effectiveness through rigorous numerical experiments. The results provide pivotal insights, revealing significant potential for enhancing the RMFS efficiency and offering practical guidance for warehouse managers.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103930"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887945","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":"Strategic planning of geo-fenced micro-mobility facilities using reinforcement learning","authors":"Julian Teusch ,&nbsp;Bruno Neumann Saavedra ,&nbsp;Yannick Oskar Scherr ,&nbsp;Jörg P. Müller","doi":"10.1016/j.tre.2024.103872","DOIUrl":"10.1016/j.tre.2024.103872","url":null,"abstract":"<div><div>The rise of Lightweight Shared Electric Vehicles (LSEVs) like e-scooters and e-bikes marks a shift towards sustainable urban mobility but brings challenges such as cluttering public spaces and distribution issues. Geo-fenced systems have emerged to mitigate these problems by restricting LSEVs to designated areas. However, integrating these infrastructures effectively remains challenging due to regulatory, convenience, and operational hurdles. In this study, we introduce a facility location optimization problem that strategically places Micro-Mobility Service Facilities (MMSFs) that enable charging, parking, and battery swapping of LSEVs. A utility model with benefit and loss functions accounts for the multiple objectives in this problem, including the impact of MMSF placement on service coverage and user convenience as well as financial and logistical costs. This model is uniquely customizable, allowing urban planners to modify the utility function’s parameters to align with specific local priorities and regulatory conditions. To solve this facility location optimization problem, we present a Deep Reinforcement Learning (RL) method that iteratively learns optimal placement strategies for Micro-Mobility Service Facilities by simulating interactions within real-world urban road networks and adapting to user demand patterns, regulatory constraints, and operational efficiencies. Our experiments in Austin and Louisville demonstrate that strategic placement of these facilities leads to substantial enhancements in infrastructure coverage, with improvements in parking demand by up to 163% in Austin and 72% in Louisville. These results underline the role of our approach in fostering more equitable and efficient urban mobility systems, significantly exceeding traditional simulation-based methods in both coverage and operational logistics. In particular, the results based on various budget scenarios reveal that service coverage and accessibility can be improved, with diminishing returns at higher budget levels due to demand saturation.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103872"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788853","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":"Real-time vehicle relocation and charging optimization for one-way electric carsharing systems","authors":"Min Xu,&nbsp;Ting Wu","doi":"10.1016/j.tre.2025.103996","DOIUrl":"10.1016/j.tre.2025.103996","url":null,"abstract":"<div><div>This study investigates a real-time vehicle relocation and charging strategy (RT-VR&amp;CS) problem for the one-way electric carsharing services considering demand dynamics and practical nonlinear charging profile. The RT-VR&amp;CS problem aims to develop a fast and robust algorithm to determine the real-time relocation and charging strategies for electric vehicles (EVs) with the goal of maximizing the profit of carsharing operators. A dynamic algorithmic framework based on a rolling time horizon is first established. Specifically, the entire planning horizon is divided into a series of sub-horizons, and a static vehicle relocation and charging strategy (S-VR&amp;CS) problem is subsequently addressed over each sub-horizon in regard to the latest rental information known up to the beginning of the sub-horizon. For each static problem, we employ a set-packing-type formulation and a column-generation-based solution method. In particular, a multi-label method is developed to generate activity trajectories (i.e., columns) incorporating vehicle relocation and charging strategy for the first static problem, whereas the activity trajectories for the subsequent static problems are efficiently generated in an online environment by leveraging the existing activity trajectories generated for the previous static problem and employing a reactive column generation process. Numerical experiments on randomly generated instances and a case study based on a one-way carsharing company in China, i.e., EVCARD, are conducted to demonstrate the efficiency of the proposed solution method. The impacts of algorithm-related parameters, the demand dynamism, the service charge, and the relocation cost on the performance of one-way electric carsharing systems are also analyzed.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"195 ","pages":"Article 103996"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143302703","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":"Multi-airport system management strategies considering air-rail intermodality and social welfare","authors":"Shuhua Hou ,&nbsp;Zhen Zhang ,&nbsp;Jiaxin Peng ,&nbsp;Xin Chen","doi":"10.1016/j.tre.2024.103882","DOIUrl":"10.1016/j.tre.2024.103882","url":null,"abstract":"<div><div>The resource allocation and utilization efficiency in multi-airport systems can be significantly enhanced through the implementation of effective management strategies, thereby enhancing transportation efficiency in these critical transportation hubs. This study proposes a decision-making model for governments, airports, and air carriers operating within multi-airport systems, incorporating network structures that encompass both air-rail intermodal connectivity and direct route options. A backward induction method is employed to conduct a comparative analysis of social welfare between group management and localized management strategies for multi-airport systems. The results demonstrate that the group management strategy represents the Nash equilibrium, as it ensures the maximization of social welfare while maintaining alignment with public welfare objectives. Further examination of high-speed rail unit operating costs reveals a potential Prisoner’s Dilemma that the management departments may encounter. When the high-speed rail unit operating costs fall below a critical threshold, total social welfare under the localized management strategy surpasses that of the group management strategy for multi-airport systems. Moreover, higher airline revenue proportions derived from air-rail intermodal services may mitigate the likelihood of encountering a Prisoner’s Dilemma, as the critical value of high-speed rail unit operating cost increases with the increase of airline revenue proportions. These findings provide valuable insights for policymakers and stakeholders in designing effective multi-airport system management strategies, integrating both operational efficiency and social welfare maximization.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103882"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788862","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":"Quality certification decision of online retail platform under heterogeneous manufacturers","authors":"Qi Zhang ,&nbsp;Jingxian Chen ,&nbsp;Ju Zhao ,&nbsp;Dong-Qing Yao","doi":"10.1016/j.tre.2024.103922","DOIUrl":"10.1016/j.tre.2024.103922","url":null,"abstract":"<div><div>As a major instrument of quality assurance implemented in online business, quality certifications play pivotal roles in retailing platforms’ operations. This paper studies whether retail platforms can improve the product quality of sellers (manufacturers) through implementing quality certifications. We develop a game-theoretic model which consists of one retail platform and two competing manufacturers with differentiated brand positioning. Considering the platform can flexibly set the quality standard, we explore the quality certification for the platform where the quality and price decisions of the heterogeneous manufacturers can be affected. We find that the certification is profitable (unprofitable) for platform when the certification cost coefficient is low (high). Additionally, we identify two effects of the consumer preference on the certification: the low-preference effect and the high-preference effect, which have opposing impacts on the standard and the quality investment of certified manufacturers. Interestingly, smaller differences in brand positioning enhance the high-preference effect, which reflects the complementary role of the high-preference effect in expanding product vertical differentiation. Moreover, when implementing the certification, the platform may prefer to encourage only the high-end manufacturer to participate in the certification, as the different impacts of two preference effects render certification unprofitable for the low-end manufacturer. More interestingly, we find that the introduction of quality certification has a two-fold effect. It incentivizes participant (non-participant) to enhance (degrade) its product quality and price. Thus, the certification expands the vertical differentiation of the products on the platform.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103922"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887901","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":"Retailer financing: On the dual advantages of profit and information transparency","authors":"Ningning Du ,&nbsp;Yingchen Yan ,&nbsp;Zhongfeng Qin","doi":"10.1016/j.tre.2024.103958","DOIUrl":"10.1016/j.tre.2024.103958","url":null,"abstract":"<div><div>Retailer financing has gained popularity as a means to alleviate capital constraints and enhance supply chain operations. However, its implementation poses significant challenges, particularly in supply chains characterized by asymmetric information, where varying levels of knowledge about product quality complicate decision-making and often diminish the potential benefits of financing. To address this issue, we develop an analytical model to examine the benefits that retailer financing can bring to all parties, especially whether it can incentivize an informed firm to initiatively share information in the presence of asymmetric quality information. First, we present that retailer financing can lead to a “win–win–win” situation for the manufacturer, retailer and consumers, as the firms’ capital flows within the whole supply chain and boosts the production output. Second, we find that, in the presence of asymmetric quality information between the retailer and manufacturer, the retailer may provide financing services to motivate an informed manufacturer to initiatively share quality information. The strategic information sharing becomes dominant when the manufacturer’s production cost is high and initial capital is moderate. Third, our analysis indicates that the retailer’s willingness to provide financing and the manufacturer’s willingness to initiatively share quality information exert a mutual promotion effect, enhancing information transparency in the supply chain. We also extend our analysis to an alternative game sequence and a competition environment.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103958"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939742","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":"Two-dimensional lane configuration design approach for Autonomous Vehicle Dedicated Lanes in urban networks","authors":"Xiangdong Chen,&nbsp;Fang Zhang,&nbsp;Hao Guan,&nbsp;Qiang Meng","doi":"10.1016/j.tre.2024.103938","DOIUrl":"10.1016/j.tre.2024.103938","url":null,"abstract":"<div><div>This study focuses on optimizing Autonomous Vehicle Dedicated Lanes (AVDLs) in urban networks, a critical step in managing mixed traffic where autonomous vehicles (AVs) and human-driven vehicles (HVs) coexist. Traditional AVDL deployment strategies have mainly optimized the number of AVDLs without adequately considering the directional functionality of lanes or their various lane-specific travel costs at intersections. To address these gaps, we propose a two-dimensional lane configuration approach that optimizes both the number of AVDLs on each road segment and their directional functionality for various traffic movements. Intersection delays are incorporated into the travel cost computation, through identifying the specific right-of-way allocations associated with different lane types. The proposed approach enables a more precise calculation of traffic volumes and travel costs on each lane-specific path, by categorizing travel into AVDL-only paths, hybrid-lane paths, and regular lane (RL)-only paths. A lane-specific user equilibrium (UE) model is developed to capture traffic dynamics on various lane types, with the existence and uniqueness of the UE solution rigorously proven. The AVDL configuration optimization is efficiently solved using a bi-level solution method. This method integrates a customized Monte Carlo Tree Search (MCTS) algorithm with a traffic accommodation ranking approach and a Frank–Wolfe-type algorithm with a link pruning technique to enhance computational efficiency. Numerical experiments on a toy network and the well-known Sioux-Falls network demonstrate the effectiveness of the proposed two-dimensional AVDL configuration approach and the efficiency of the bi-level solution method. This study contributes to the field by extending AVDL configuration to two dimensions, providing a comprehensive framework for future urban network design in mixed traffic environments.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103938"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887896","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":"Optimizing pricing for sustainable government-subsidized omnichannel closed-loop supply chains","authors":"Behrooz Khorshidvand ,&nbsp;Adel Guitouni ,&nbsp;Kannan Govindan ,&nbsp;Hamed Soleimani ,&nbsp;Leila Talebi ,&nbsp;Soheil Sibdari","doi":"10.1016/j.tre.2024.103932","DOIUrl":"10.1016/j.tre.2024.103932","url":null,"abstract":"<div><div>In this study, we explore how government subsidies contribute to the adoption of environmentally sustainable practices in supply chains, focusing on pricing, green awareness, marketing, and recycling. We compare decentralized, centralized, and collaborative operational models, both with and without subsidies, and find that the green-cost-sharing collaborative model significantly enhances supply chain profitability. This model is more cost-effective for manufacturers and retailers than decentralized or centralized approaches and achieves higher green performance compared to the decentralized model. It also strengthens recycling efforts and enhances retailers’ multitasking capabilities within a closed-loop network. Furthermore, it delivers stakeholder satisfaction comparable to centralized models while requiring significantly less selling effort, and it outperforms decentralized models in operational efficiency. Additionally, we identify the equilibrium subsidy level that maximizes environmental efficiency across decentralized and collaborative frameworks. This research provides valuable insights for policymakers and strategists, contributing to both academic literature and practical applications.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103932"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142887899","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":"A delay-resistant cloud supported control model for Optimizing vehicle platooning operation","authors":"Ying Liu ,&nbsp;Qing Xu ,&nbsp;Guangwei Wang ,&nbsp;Yi Liu ,&nbsp;Mengchi Cai ,&nbsp;Chaoyi Chen ,&nbsp;Jianqiang Wang ,&nbsp;Guodong Yin","doi":"10.1016/j.tre.2024.103928","DOIUrl":"10.1016/j.tre.2024.103928","url":null,"abstract":"<div><div>The cloud supported system can effectively optimize vehicle platooning operation due to its centralized control mode in the cloud, but due to its wireless transmission characteristics and the complexity of the mixed traffic environment, the controlled traffic units will inevitably suffer from time delays and outside disturbances, which can lead to serious safety issues. To address the problem of platooning stable operation under stochastic road slope and bi-directional time-varying delay, a novel delay-resistant cloud supported control model is proposed in this paper. First, the mixed vehicle platoon system under the vehicle–road-cloud integrated architecture is established, considering the influence of driving intentions’ uncertainty of human-driven vehicles (HDVs), random variations of road slope, and bi-direction time-varying delay. Second, an exponential mean-square stable delay-dependent controller is designed to stabilize the cloud supported platoon system subject on the basis of robust <em>H_∞</em> approach and Lyapunov-Krasovskii theorem. In addition, the inner-vehicle stability of time-delay mixed platoon system is analyzed using the enhanced free weighting matrix (EFWM) approach along with the improved cone complementarity linearization (ICCL) algorithm. Third, a <span><math><msub><mtext>L</mtext><mn>2</mn></msub></math></span> string stability criterion is defined to inhibit the increasement of perturbances as they propagate along the platoon. Finally, real traffic data as well as different driving conditions are adopted to verify the control performance of the presented method. Compared to traditional vehicle platoon control method, the presented controller can achieve better disturbance suppression and tracking performance under stochastic interferences and bi-direction time-varying delay, the distance error between adjacent vehicles is less than 0.44 m at low and medium speeds.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"194 ","pages":"Article 103928"},"PeriodicalIF":8.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867656","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}