Transportation Research Part E-Logistics and Transportation Review最新文献_第3页

Balancing flex and non-flex labor to reliably meet on-demand capacity 平衡柔性和非柔性劳动力，可靠地满足按需容量

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-02 DOI: 10.1016/j.tre.2026.104696

Ramon Auad, Thomas Fillebeen, Roman Levkin, Arkajit Rakshit, Martin Savelsbergh

The 21st century workforce is increasingly characterized by more flexible labor models, particularly in e-commerce and supply chain operations. While previous research has focused mostly on last-mile, on-the-road settings, we focus on under-the-roof (UTR) environments, which present unique challenges due to their complex, varied tasks requiring training and experience. Our study addresses the need to better understand how a blended UTR workforce balances factors like structural efficiency and labor flexibility in complex logistics management. We present an optimization framework for determining an effective workforce composition of flexible and non-flexible associates in UTR environments. We validate insights from the optimization framework through an empirical study that increased flexible staffing at Amazon delivery stations. Our analysis includes measuring differences in productivity learning curves and examining impact on efficiency and the associate experience. Key findings reveal that while flexible associates take longer to achieve full proficiency, especially for complex tasks, these effects diminish over time. Importantly, a blended workforce improves structural staffing efficiency and makes it easier to accommodate demand shocks. We estimate that the upper bound of the efficiency improvement to be around 4%. Our research highlights the benefits of strategic workforce planning in the face of increasing demand volatility and a need for operational agility.

21世纪的劳动力日益以更加灵活的劳动模式为特征，特别是在电子商务和供应链运营方面。虽然之前的研究主要集中在最后一英里的道路上，但我们关注的是室内（UTR）环境，由于其复杂多样的任务需要培训和经验，因此面临着独特的挑战。我们的研究解决了更好地理解混合UTR劳动力在复杂物流管理中如何平衡结构效率和劳动力灵活性等因素的需求。我们提出了一个优化框架，以确定在UTR环境中灵活和非灵活的合作伙伴的有效劳动力组成。我们通过一项实证研究验证了优化框架的见解，该研究增加了亚马逊配送站的灵活人员配置。我们的分析包括测量生产率学习曲线的差异，并检查对效率和员工经验的影响。主要研究结果显示，虽然灵活的员工需要更长的时间才能完全精通，尤其是在复杂的任务上，但这些影响会随着时间的推移而减弱。重要的是，混合劳动力提高了结构性人员配置效率，使适应需求冲击变得更容易。我们估计效率提高的上限约为4%。我们的研究强调了在面对日益增加的需求波动和对操作敏捷性的需求时，战略性劳动力规划的好处。

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引用次数: 0

PortMiner: Unsupervised data mining for functional areas extraction in port areas PortMiner：用于港口区域功能区域提取的无监督数据挖掘

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-02 DOI: 10.1016/j.tre.2026.104715

Huimin Qiang , Wenlong Niu , Xiaodong Peng , Huanhuan Li , Zaili Yang

Accurate extraction of functional areas in port waters is essential for enhancing port operational oversight, optimizing vessel scheduling, and supporting maritime safety. However, existing approaches often rely on supervised learning, extensive parameter tuning, and labeled datasets, limiting their scalability, adaptability, and operational efficiency. To address these gaps, this study proposes PortMiner, a novel unsupervised data mining framework that systematically extracts functional areas from raw vessel trajectory data without requiring manual annotations. The framework introduces a Spatio-Temporal Adaptive Sliding Windows (STASW) method to detect stop behaviors dynamically, using self-adaptive parameters derived directly from the data. Trajectories are first encoded into geohash-based sequential grids, enabling efficient detection of stop and port inbound/outbound behaviors. Functional zones such as berths, anchorages, and navigational channels are then delineated through multi-level spatial aggregation and connectivity-based clustering. Experimental results on benchmark datasets show that STASW achieves 98.83% accuracy, outperforming state-of-the-art deep learning methods, while significantly reducing computational time and cost. Validation against official nautical charts confirms PortMiner’s high fidelity in identifying port-functional structures. The extracted results are also made publicly accessible via an interactive platform (https://portminer.netlify.app/), offering practical insights for intelligent port operation and maritime logistics planning.

准确提取港口水域功能区，对加强港口运营监管、优化船舶调度、保障海上安全具有重要意义。然而，现有的方法通常依赖于监督学习、广泛的参数调优和标记数据集，限制了它们的可扩展性、适应性和操作效率。为了解决这些问题，本研究提出了PortMiner，这是一种新的无监督数据挖掘框架，可以系统地从原始船舶轨迹数据中提取功能区域，而无需手动注释。该框架引入了一种时空自适应滑动窗口（STASW）方法，使用直接从数据中获得的自适应参数来动态检测停车行为。轨迹首先被编码到基于geohash的顺序网格中，从而能够有效地检测停止和端口入站/出站行为。然后通过多层次的空间聚集和基于连通性的聚类来划定泊位、锚地和航道等功能区。在基准数据集上的实验结果表明，STASW的准确率达到98.83%，优于当前最先进的深度学习方法，同时显著减少了计算时间和成本。对官方海图的验证证实了PortMiner在识别港口功能结构方面的高保真度。提取的结果也可通过互动平台（https://portminer.netlify.app/）公开访问，为智能港口运营和海上物流规划提供实用见解。

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引用次数: 0

Shaping the reality of temporary supply network for humanitarian relief through social media: A quasi-natural field experiment on the socio-technical system 通过社会媒体塑造人道主义救济临时供应网络的现实：社会技术系统的准自然现场实验

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-03 DOI: 10.1016/j.tre.2026.104706

Xiaochen Yue , Xiling Cui , Qianwen Wang , Baofeng Huo

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.

由于参与者背景、目标和价值观的异质性，协调临时供应网络（tsn）提出了重大挑战。本研究探讨tsn是否能有效地作为社会技术系统来促进协调和提高绩效。本研究利用新冠肺炎疫情暴发初期的准自然现场实验，基于225名参与tsn的人道主义救援行为体的数据，采用普通最小二乘（OLS）回归分析。它研究tsn如何作为社会技术系统运作，强调技术子系统的基石作用。研究结果表明，社交媒体的使用通过促进救济行为者的情感承诺和后续协调实践来改善交付绩效。此外，社交媒体平台提供的可搜索性正向调节情感承诺与协调实践之间的关系。本研究通过推进社会技术系统视角丰富了TSN管理文献，并通过强调技术子系统在数字化转型时代的关键作用扩展了这一框架。此外，本研究强调数字技术在人道主义救援tsn中的关键作用，并鼓励战略性调动社会资源以加强协调能力，提供了实践见解。

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引用次数: 0

Deep reinforcement learning approach to solving clustered vehicle routing problems 深度强化学习方法解决集群车辆路径问题

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-12 DOI: 10.1016/j.tre.2026.104742

Yaoxin Wu , Yue Yu , Lingxiao Wu , Tao Feng , Lu Zhang , Zhenkun Wang , Jie Gao

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.

聚类车辆路径问题（cluvrp）是一类复杂的组合优化问题，具有重要的现实相关性。它们通过引入预先指定的客户集群并要求集群之间和每个集群内的有效路由来扩展经典vrp。虽然已经开发了许多深度学习方法来解决标准VRP，但对cluvrp的研究仍然相对有限，这为推进具有集群相关约束的更实用VRP的解决方案提供了机遇和挑战。本文提供了一种深度强化学习（DRL）方法来解决cluvrp。我们在编码器中提出了一个集群感知的注意力模块，以及集群间和集群内的解码器，以专门研究集群内部和集群之间的建设性策略。在训练中采用了对称数据增强，提高了训练性能。不同CluVRP变体的经验结果表明，DRL方法优于现有方法，始终为各种实例提供优势。

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引用次数: 0

Hybrid optimization strategies for terminal-oriented container stowage and relocation in large port operations 大型港口作业中面向终端的集装箱积载和再安置的混合优化策略

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-10 DOI: 10.1016/j.tre.2026.104722

Peixiang Wang , Hongye Zhao , Yufei Li , Runzhi Tan , Qunlong Chen , Wei Qin , Heng Huang , Yu Tian , Dong Xu

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.

在大型港口作业中，高效的集装箱配载规划对于确保船舶稳定性、航行安全和码头整体效率至关重要，特别是在对更智能、更绿色的海上物流日益增长的需求下。港口运营商必须精心安排成千上万的集装箱，坚持航运公司的初步计划，同时优化关键因素，如重量分配，最大限度地减少集装箱在堆场内的重新安置，并与动态码头操作流程（如双升降机处理和码头起重机工作流程）无缝集成。本研究提出了一个优化框架，从码头的角度为大型船舶生成完整的配载计划，其特点是能够识别和消除涉及多个集装箱的复杂重新安置模式。设计了一种高效的求解方法，该方法将混合整数规划模型用于初始舱位分配和后续舱位定位，然后采用先进的邻域搜索算法。该搜索算法结合了一种新的基于图的重定位检测技术，利用矩阵幂运算来识别和最小化复杂的k循环重定位模式。基于主要国际码头（洋山港）的运营数据，进行了广泛的数值实验和实际案例研究。结果验证了该框架能够为大型船舶生成稳健、高质量的配载计划，大约需要10分钟，从而减少16.8%的集装箱重新安置，提高码头效率，从而为先进的配载计划提供有价值的管理见解。

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引用次数: 0

Robust drone delivery with partial recharging strategy in urban medical logistics 基于部分充电策略的城市医疗物流稳健无人机配送

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-11 DOI: 10.1016/j.tre.2026.104732

Wenhao Peng , Dujuan Wang , Hengfei Yang , T.C.E. Cheng

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.

智慧城市的快速发展推动了无人机运输服务的升级。本研究考察了无人机路由问题（DRP）的一种新变体，该问题考虑了一组同质无人机，将医疗用品运送到多个医院或医疗中心，并预先规定了截止日期。在每次飞行中，无人机被允许降落在现有的充电平台上，并决定何时何地充电，以及每次充电的持续时间。考虑了无人机飞行时间的不确定性，以及无人机功耗与载荷的非线性关系。为了解决这个问题，我们首先提出了一个基于预算不确定性集的鲁棒优化模型。随后，我们设计了一个定制的分支和价格（B&；P）算法。该算法采用可变邻域搜索（VNS）策略有效地求解子问题。在VNS中，我们开发了四种邻域结构来有效地探索解空间。此外，为了避免陷入局部最优，还引入了振动操作。进行了大量的数值实验来评估算法的有效性，突出鲁棒性在处理不确定性方面的优势，并检查关键模型参数如何影响结果解。最后，以重庆市血液中心的实际数据为例，说明了模型的应用。

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引用次数: 0

Financing strategy for industrial symbiosis chains with a capital-constrained upstream manufacturer considering by-product supply-demand mismatch 考虑副产品供需不匹配的上游制造商资本约束下产业共生链融资策略

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-11 DOI: 10.1016/j.tre.2026.104717

Quanyao Cao , T.C. Edwin Cheng , Shun Jia , Yang Liu

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.

产业共生作为循环经济的一个分支，作为一种高效利用废弃资源、减少环境污染的发展模式，迅速崛起。然而，产业合作的挑战和企业融资支持不足阻碍了其发展。我们考虑一个由资金受限的上游制造商和下游制造商组成的工业共生链，后者可以再利用上游制造商的副产品来替代原材料进行生产。我们将采购订单融资分析为装运前融资，将保理分析为装运后融资，同时还将买方直接融资视为装运前融资的一种替代方法，将购买承诺视为一种特定类型的智能合约。考虑到市场需求的不确定性和副产品的供需不匹配，我们建立了一个两阶段博弈理论模型来分析企业的生产决策，并探讨了不同融资方式在企业生产决策中的作用。此外，我们研究了融资和共生方面的信息摩擦，并研究了工业共生链中智能合约的价值。在此基础上，我们进一步扩展研究，利用庇古税来内部化环境污染的外部性。这一产业共生链融资模式的创新，为供应链金融通过智能合约促进产业共生、加强产业合作提供了理论支撑。

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引用次数: 0

Incentive provision for consumer deliberation in a supply chain with dual-purpose organizations 具有双重目的组织的供应链中消费者审议的激励规定

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-10 DOI: 10.1016/j.tre.2026.104738

Hui Liu , Guanghua Song , Song Huang

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.

本研究探讨在二元供应链中，当消费者面对新产品的估值不确定性时，企业对消费者审议的激励提供决策。与单纯关注利润最大化的传统模型不同，我们考虑同样重视消费者剩余的制造商和零售商。使用博弈论模型，我们分析了两种情况：一种是制造商有双重目的的关注，另一种是零售商有双重目的的关注。企业对消费者剩余的关注和消费者的深思熟虑行为之间的战略互动对均衡策略和渠道绩效产生了重要的影响。首先，企业的双重目的关注从根本上改变了制造商的激励提供策略。具体来说，制造商抑制消费者考虑的动机随着公司对消费者剩余的关注程度的增加而增加，这种效应在双重目的零售商的情况下被放大。其次，我们发现，在某些情况下，零售商的双重目的取向可以为两家公司带来“双赢”的局面，这与双重目的零售商偏离纯粹的利润最大化会使情况变得更糟的直觉相反。然而，当制造商采用双重目的焦点时，就不会出现这种结果。第三，审议成本和对消费者剩余的关注程度对企业利润均表现出非单调效应。值得注意的是，双重目的零售商的消费者剩余和社会福利优于双重目的制造商，或者至少相当于双重目的制造商。最后，当两家公司都关注消费者剩余或任何一家公司过度关注消费者剩余时，主要结果在质量上仍然有效。

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引用次数: 0

Digital platforms in supply chain and logistics management: A systematic literature review 供应链与物流管理中的数字平台：系统文献综述

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-13 DOI: 10.1016/j.tre.2026.104737

Booi Kam , Kamrul Ahsan , Hepu Deng , Sophia Duan

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.

数字平台（DPs）极大地改变了供应链和物流管理（SCLM）。然而，DPs如何对供应链和物流业务做出贡献，尚未有系统的记录。本研究探讨了DPs在SCLM中的作用。通过对2006年至2025年间发表的251篇同行评议的高质量期刊文章的系统回顾，本研究确定了DP的四个关键角色：服务机构、解决方案孵化器、任务特定结果塑造者和绩效助推器。通过分析这四个角色之间的相互依赖关系，本研究开发了一个综合框架，捕捉了六组相互加强的关系，从而产生了一个dp策划的价值增长周期。讨论了这些关系的理论和实践意义，包括dp和传统的第四方物流服务提供商之间的融合角色。本研究还确定了文献中明显的差距，并提出了一系列领域未来研究的议程。回顾dp在SCLM领域中所扮演的角色之间的相互关系，随着更多人工智能（AI）驱动的算法继续推动它们进入SCLM实践的不同方面，本研究扩展了这一领域的研究视野。

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引用次数: 0

Recycling strategies under carbon policies with platform financing 碳政策下的平台融资回收策略

IF 8.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part E-Logistics and Transportation Review

Pub Date : 2026-05-01 Epub Date: 2026-02-09 DOI: 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.

考虑到与服装制造和处置相关的政府法规和环境影响，许多制造商从事回收利用。通常，制造商要么直接从消费者那里回收，要么通过零售平台回收。然而，零售平台在发展回收业务时经常遇到资金限制。逆向物流的一个关键挑战在于有效和具有成本效益的收集和处理旧服装，特别是考虑到政府法规的复杂性和财政限制。在此背景下，我们开发了一个服装闭环供应链模型，以研究不同碳政策（例如，碳减排补贴和碳税政策）下的回收策略，以及一个结合股权融资和银行贷款的混合融资方案。我们的主要发现如下。首先，从供应链主体的经济效益来看，碳补贴比碳税政策更能有效地激励制造商和平台进行回收。其次，在新产品的初始市场需求较低，股权融资比例较高的情况下，企业倾向于设定较高的零售和批发价格。第三，更高的股权融资比率促使制造商提供更高的回收激励价格。最后，我们推导出政府碳减排补贴与碳税政策之间的最优选择，并讨论了制造商和零售平台最有效的服装回收策略。在扩展模型中，我们研究了股权融资失败情况下的最优回收策略。

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引用次数: 0