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Explainable train delay propagation: A graph attention network approach Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-29 Ping Huang, Jingwei Guo, Shu Liu, Francesco Corman
Explaining train delay propagation using influence factors (to find the determinants) is essential for transport planning and train operation management. Due to high interpretability to train operations, graph/network models, e.g., Bayesian networks and alternative graphs, are extensively used in the train delay propagation/prediction problem. In these graph/network models, nodes represent train a
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A ridesharing routing problem for airport riders with electric vehicles Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-29 Li Zhang, Zhongshan Liu, Bin Yu, Jiancheng Long
This paper proposes a ridesharing routing problem for airport riders motivated by a practical application. This problem designs routes for electric vehicles owned by an airport to provide pickup and delivery service for riders both departing from and traveling to the airport. To maintain a high quality of ridesharing service, it is assumed that drivers should ensure that all riders on board from the
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Equilibrium analysis for on-demand food delivery markets Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-28 Jintao Ke, Ce Wang, Xinwei Li, Qiong Tian, Hai-Jun Huang
With the popularity of smartphones and the mobile internet, on-demand food and grocery delivery services have experienced rapid development in recent years. A food delivery platform dispatches crowd-sourced drivers to pick up meals at merchants, e.g., restaurants and grocery supermarkets, and then deliver the meals to customers. Apart from setting the delivery price paid by customers and the wage offered
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A stochastic hub location and fleet assignment problem for the design of reconfigurable park-and-ride systems Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-28 Matthieu Guillot, David Rey, Angelo Furno, Nour-Eddin El Faouzi
Park-and-ride systems have the potential to improve the efficiency of transportation networks by providing targeted shared mobility services. The design of a park-and-ride system depends on its role in regards to the broader transportation network. Reconfigurable park-and-ride systems aim to provide complementary shared mobility services in the context of varying travel demand scenarios, such as special
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A decomposition approach for robust omnichannel retail operations considering the third-party platform channel Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-28 Junhyeok Lee, Ilkyeong Moon
In recent years, third-party platforms (3PPs), such as Amazon, have attracted considerable interest from omnichannel retailers as a sales channel option. Even though omnichannel retailers have their own offline and online channels, they have participated in the fulfillment service of 3PPs to absorb additional demand from the 3PP channel. To the best of our knowledge, no existing study has addressed
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Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-27 Sourabh Bhattacharya, Kannan Govindan, Surajit Ghosh Dastidar, Preeti Sharma
In this paper, we present a systematic literature review of the applications of Artificial Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased search, we select 303 peer-reviewed articles and examined them to understand the prevalent publication trends, most impactful studies, most influential authors, and most popular journals. We further identify ten most popular
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A branch-and-price heuristic algorithm for the ART and external truck scheduling problem in an automated container terminal with a parallel layout Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-26 Zehao Wang, Qingcheng Zeng, Xingchun Li, Chenrui Qu
The scheduling of horizontal transportation equipment in automated container terminals is a focal area of concern in the port industry. In an automated container terminal with a parallel layout, artificial intelligence robots of transportation (ARTs) and external trucks (ETs) are critical vehicles that connect the quayside, yard side, and hinterland. The operational management of ARTs and ETs is complex
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Optimising modular-autonomous-vehicle transit service employing coupling–decoupling operations plus skip-stop strategy Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-26 Jiyu Zhang, Ying-En Ge, Chunyan Tang, Meisu Zhong
Modular autonomous vehicles (MAVs) have enormous potential to accommodate spatio-temporally imbalanced demand by coupling and decoupling flexibly in operation. The existing work in the literature on MAV service mode design is focused on the matching between supply and demand not at the bus-stop level but at the bus-route level. To fill the gap, this work proposes a novel MAV service mode that incorporates
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Pricing and investment in manufacturing and logistics when environmental reputation matters Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-26 Elena Parilina, Fanjun Yao, Georges Zaccour
We consider pricing and manufacturing and logistics investment decisions by a manufacturer facing environmentally concerned consumers. Demand depends on the price and manufacturer’s environmental performance comparatively to the industry. As environmental reputation can only be built over time and emissions reduction capacity requires sustainable investments in manufacturing and logistics processes
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Optimizing the long-term costs of an Inventory Routing Problem using linear relaxation Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-23 Agustín Chiu, Gustavo Angulo, Homero Larrain
The Inventory Routing Problem (IRP) arises in logistics operations when routing and inventory decisions are made simultaneously. In this work, some ideas to improve the long-term performance of the rolling horizon strategy are explored. First, three simple modifications to the IRP are tested to improve its long-term performance: using safety stocks, defining minimum inventory levels for the last period
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Inventory management with actual palletized transportation costs and lost sales Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-23 Liu Yang, Kanglin Liu, Juan Zhang, Pamela J. Zelbst
Pallets are widely used for bulk shipping in the United States and Europe. In response to the call for more comprehensive research on inventory management that incorporates practical freight rates, this study investigates optimal inventory replenishment decisions by explicitly considering palletized shipping rates and lost sales in multi-product multi-period inventory system facing stochastic demand
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Signaling contracts design for Build–Operate–Transfer roads under asymmetric traffic demand information Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-23 Shasha Shi, Yuhui Tuo, Meixu Pan, Yafeng Yin, Yue Chen, Xiongwei Zhou, Ke Chen
In a build-operate-transfer (BOT) road project, the government offers a concession contract to a private investor based on traffic demand information. When the government is privately informed about the demand information—namely, the potential traffic demand (PTD)—it might be challenging for the private investor to quantify the project’s prospects, which could diminish its enthusiasm for involvement
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Data-driven drone pre-positioning for traffic accident rapid assessment Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-22 Zhu Meng, Ning Zhu, Guowei Zhang, Yuance Yang, Zhaocai Liu, Ginger Y. Ke
A rise in traffic accidents has led to both traffic congestion and subsequent secondary accidents. Effectively addressing this issue requires rapid accident investigation and management. In this paper, we aim to improve the efficiency of traffic accident assessment and investigation with the aid of drone technologies. Our approach involves strategically pre-positioning drones, enabling traffic supervisory
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When and under what conditions ambidextrous supply chains prove effective? Insights from simulation and empirical studies Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-22 Javad Feiz Abadi, David M. Gligor, Somayeh Alibakhshi Motlagh, Raj Srivastava
Our research delves into the impact of ambidextrous supply chain activity configurations on performance, particularly in the dynamic and complex contexts of today's business landscape. Drawing from the rich literature on paradox theory, we aim to unravel the efficacy of ambidextrous supply chain setup in mitigating the tensions inherent in managing dynamism, complexities, munificence, and, as well
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Multi-echelon facility location models for the reorganization of the Blood Supply Chain at regional scale Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-20 Antonio Diglio, Andrea Mancuso, Adriano Masone, Claudio Sterle
Blood and blood products are crucial resources requiring effective management strategies and policies due to the potential severe consequences that could arise from their lack. Over the past two decades, the global healthcare community has recognized the significance of managing the Blood Supply Chain (BSC) efficiently and effectively. This includes policy-making, system design and organization. In
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Managing regretful newsvendors and supply chain performance through target-setting Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-20 Erbao Cao, Jing Tang
The equilibrium order quantity of the regretful newsvendors generally presents the pull-to-center effect, leading to lower profits. This study finds that a target-setting approach which serves as a pervasive mechanism adopted by the manager can effectively counteract this bias. Rich literature finds that the regret bias makes newsvendors worse in practice; however, there is a lack of efficient and
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Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-19 Yu Zhou, Hua Wang, Yun Wang, Bin Yu, Tianpei Tang
The adoption of battery electric buses (BEBs) has gained significant momentum in the public transportation sector due to their environmental and energy-saving merits. Nonetheless, challenges such as limited driving range and battery degradation, to some extent, hinder the extensive deployment of BEBs. This paper provides a comprehensive review of BEB adoption and utilization over the past decade, categorizing
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Last-Mile logistics with on-premises parcel Lockers: Who are the real Beneficiaries? Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-14 Seyed Sina Mohri, Neema Nassir, Russell G. Thompson, Hadi Ghaderi
Researchers have investigated various planning aspects of public Parcel Lockers (PLs), but little is known about the wider benefits of on-premises parcel lockers (OPLs). More recently OPLs have received attention as a solution to address the problem of failed deliveries, as well as to provide a safe and secure delivery experience to customers. Although OPLs provide enhanced convenience for residents
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Integrated planning of berth allocation, quay crane assignment and yard assignment in multiple cooperative terminals Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-14 Liming Guo, Jianfeng Zheng, Jian Du, Ziyou Gao, Kjetil Fagerholt
To further enhance the service level of a transshipment container port, this work considers terminal cooperation in terms of shore-side and yard-side resource sharing. This work proposes an integrated berth allocation, quay crane assignment and yard assignment problem in multiple cooperative terminals. In the proposed problem, container flow movements are classified into three types, i.e., import,
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How airports enhance the environmental sustainability of operations: A critical review from the perspective of Operations Research Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-14 Shuiwang Chen, Lingxiao Wu, Kam K.H. Ng, Wei Liu, Kun Wang
The escalating demand for air travel has significant environmental implications, such as air pollution and noise nuisance, compelling airports to mitigate their negative impacts on the environment. Operations Research (OR) has played a crucial role in optimizing environment-oriented airport traffic flow management problems, including gate assignment, pushback control, taxi planning, tow vehicles operations
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Traffic emergency vehicle deployment and dispatch under uncertainty Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-13 Lu Zhen, Jingwen Wu, Fengli Chen, Shuaian Wang
To manage traffic emergencies, cities require multiple types of traffic rescue vehicles, which need to be dispatched from various rescue stations dispersed throughout the city. A reasonable way of deploying the rescue vehicles must be determined given that the times and locations at which the traffic emergencies occur are uncertain. In this paper, we propose a two-stage stochastic programming approach
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ChatGPT-enabled two-stage auctions for electric vehicle battery recycling Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-13 Jianghong Feng, Yu Ning, Zhaohua Wang, Guo Li, Su Xiu Xu
The primary objective of this study is to create an advanced management system that seamlessly integrates ChatGPT, an intelligent chatbot, with a cutting-edge two-stage auctions model. This integration aims to optimize the recycling process of electric vehicle batteries, ensuring utmost efficiency. To gauge the effect of incorporating ChatGPT on participants' values, we introduce technology coefficient
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Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-10 Abolfazl Maleki, Vahid Hemmati, Seyed Reza Abazari, Amir Aghsami, Masoud Rabbani
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Outsourcing service price for crowd-shipping based on on-demand mobility services Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-10 Shouguo Peng, Woo-Yong Park, Abdelrahman E.E. Eltoukhy, Min Xu
Online-to-offline (O2O) parcel delivery service providers (PSPs) are facing ever-increasing pressure to provide timely and reliable delivery services. An emerging form of collaborative crowd-shipping based on on-demand mobility (COM) services, which utilizes the excess capacity of on-demand mobility vehicles (e.g., taxis and ride-hailing vehicles) to deliver O2O parcels, is proposed to alleviate PSP’s
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Integrating equity and efficiency into urban logistics resilience under emergency lockdowns Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-10 Siping Li, Yaoming Zhou
The urban logistics system serves an essential role in providing daily necessities for residents but is vulnerable to resource shortages in disasters. For instance, cluster infections and access restrictions caused by public health emergencies like COVID-19 pose a severe challenge to the resilient operations of urban logistics systems. Especially, the restriction level and the labor shortage always
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Blockchain adoption for combating remanufacturing perceived risks in a reverse supply chain Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-09 Manman Wang, Feng Yang, Feifei Shan, Yu Guo
Remanufacturing provides excellent opportunities for socially responsible firms to achieve sustainable operations, benefiting manufacturers, consumers, and the environment. However, the market for remanufactured products faces challenges due to perceived risks, with consumers often expressing concerns about the quality and provenance of remanufactured parts. The advent of blockchain technology offers
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A hybrid scenario-based fuzzy stochastic model for closed-loop dry port network design with multiple robustness measures Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-08 Nima Golghamat Raad, Suchithra Rajendran
Dry ports are crucial to marine logistics, providing significant economic, environmental, and social benefits. Effective network design is key to their success, and decisions on location and capacity must consider both objective data and expert opinions to avoid costly long-term consequences. This research presents an integrative framework that combines a fuzzy multi-criteria decision-making method
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Does digital finance favor firms in supply chains? Roles of green innovation and bargaining power Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-08 Guo Li, Jing Xue, Na Li, Qingwu Qi
In the digital economy era, the disruptive technologies have boomed and reshaped firms in supply chains by finance digitalization towards a more sustainable way, while how digital finance (DF) affects firms’ performance in supply chains remains still unclear. Meanwhile, the balance between environmental protection and economic benefits has become pivotal for firms to achieve sustainable development
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The strategic analysis of collection delivery points network sharing in last-mile logistics market Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-07 Leiting Li, Min Huang, Xiaohang Yue, Xingwei Wang
In last-mile delivery, due to its efficiency advantage over home delivery, collection delivery points (CDP) strategy is adopted widely by express companies but implemented in different modes: some express companies build CDP networks by themselves but some other cooperate with third-party CDP networks. In recent years, a new business-to-business sharing mode has emerged: express companies with CDP
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A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-06 Liao Chen, Shoufeng Ma, Changlin Li, Yuance Yang, Wei Wei, Runbang Cui
With the increasing uncertainties in freight transportation, truck loans are playing a crucial role in the stability and development of the logistics industry. A pivotal problem to truck loan management is controlling credit risk. Much research has focused on pre-loan default prediction considering applicants’ static personal information. However, few studies concentrate on post-loan risk control,
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The evasion strategy options for competitive ocean carriers under the EU ETS Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-05 Jie Wu, Jiaguo Liu, Na Li
To cut pollution at sea, The European Union Emissions Trading System (EU ETS) plans to include the shipping industry. Carriers may evade EU ETS by adding a non-EU port-of-call as their first port-of-call to EU ports. In this context, we develop a game model to analyze the incentives of two competing carriers to adopt the port-of-call strategy and the effect of EU ETS. Moreover, based on the European
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Managing evacuation of multiclass traffic flow: Fleet configuration, lane allocation, lane reversal, and cross elimination Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-03 Jialin Liu, Rui Jiang, Yang Liu, Bin Jia, Xingang Li, Ting Wang
Multiclass traffic dynamic evacuation is a challenging task considering heterogeneous populations and traffic congestion. Based on a novel objective function of minimizing evacuation network clearance time (ENCT), this paper proposes a multiclass traffic dynamic evacuation planning (MTDEP) model, which determines both fleet demand and road supply management strategies, including multiclass vehicles
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Pareto truck fleet sizing for bike relocation with stochastic demand: Risk-averse multi-stage approximate stochastic programming Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-02 Weitiao Wu, Yu Li
Bike-sharing systems play an important role in the multimodal transit system. This study investigates the truck fleet sizing problem for bike relocation that integrates strategic and tactical decisions taking into account the stochastic nature of demand. We develop a multi-period bike relocation model at the tactical level and derive the bike shortage formulation coupling relocation decisions with
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Effects of product substitutability and power relationships on performance in triadic supply chains Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-29 Xu Chen, Jinzhe He, Xiaojun Wang
With the development of the retail industry and the increasing complexity of the power relationship between common retailers and manufacturers, research on product substitutability has become increasingly critical for operational management and decision-making regarding substitutable products. We investigated the effects of product substitutability on retail prices, profits, and social welfare for
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Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-31 Shuguang Zhan, Jiemin Xie, S.C. Wong, Yongqiu Zhu, Francesco Corman
External and internal factors can cause disturbances or disruptions in daily train operations, leading to deviations from official timetables and passenger delays. As a result, efficient train timetable rescheduling (TTR) methods are necessary to restore disrupted train services. Although TTR has been a popular research topic in recent years, the uncertain characteristics of railways have not been
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Elastic-demand bi-criteria traffic assignment under the continuously distributed value of time: A two-stage gradient projection algorithm with graphical interpretations Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-01 Zhandong Xu, Anthony Chen, Guoyuan Li, Zhengyang Li, Xiaobo Liu
In this paper, we study the elastic-demand bi-criteria traffic assignment problem under the continuously distributed value of time, referred to as the ED-CBiTA problem for simplicity. Specifically, the origin and destination (O–D) demand of ED-CBiTA is endogenously guided by the expected generalized travel time aggregated from all efficient paths, and the consideration of user heterogeneity regarding
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Quality disclosure strategy with asymmetric demand information in food supply chains Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-02-01 Yanan Yu, Yong He, Xiaotong Guo, Dong Li, Hongfu Huang
The effects of food product quality disclosure on enhancing food quality transparency have drawn wide attention to food supply chain management. However, demand information asymmetry in the vertical direction of food supply chains hinders the supplier’s quality disclosure due to the fact that the supplier is uncertain whether the profits brought by quality disclosure can offset the disclosure costs
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Revenue-sharing in the alliance of inland river and sea carriers: Formulation and a case study Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-29 Mei-Ru Wang, Zhi-Chun Li, Xiaowen Fu, Yi Xiong
This paper investigates the market dynamics and welfare implications when river and sea carriers may compete and collaborate in an inland river market. A vertical-structure model that considers the interactions among ports, river and sea carriers, and shippers is proposed. The port operator sets port service charges to maximize social welfare of the river-sea transport system. The sea carrier maximizes
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Trade credit vs. supplier-guaranteed financing: Role of friction costs Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-30 Shuang Xiao, Suresh P. Sethi, Guo Li
The outbreak of COVID-19 has aggravated the financial constraints and credit default risks of firms. Two financing strategies initiated by the upstream suppliers are widely used to ease buyers' financial distress: trade credit (TC) and supplier-guaranteed financing (SG). We investigate these two financing strategies following the classic selling-to-the-newsvendor paradigm by further incorporating the
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Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-28 Ying Yang, Yang Liu, Guorong Li, Zekun Zhang, Yanbin Liu
Automatic Identification System (AIS) data holds immense research value in the maritime industry because of its massive scale and the ability to reveal the spatial–temporal variation patterns of vessels. Unfortunately, its potential has long been limited by traditional methodologies. The emergence of machine learning (ML) offers a promising avenue to unlock the full potential of AIS data. In recent
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A decision framework for decomposed stowage planning for containers Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-29 Yinping Gao, Lu Zhen
Stowage planning is crucial to the efficiency of loading containers onto vessels, which can affect the competitiveness of ports. In this paper, we study the stowage problem and consider the storage locations of containers in the yard. A decision framework is proposed to optimize the stowage, which is decomposed into three phases: allocating storage locations to container blocks, the stacking slots
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The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆ Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-29 Haonan Xu, Jiaguo Liu, Xiaofeng Xu, Jihong Chen, Xiaohang Yue
Artificial Intelligence (AI) technology is changing the industrial paradigm and has been widely adopted in port operations. Although AI technology can improve the efficiency of port operations and service quality, ports need to bear some costs. Discussing the role of applying AI technology to ports in complex competitive environments has become an important issue in the operations of ports and shipping
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Service design under asymmetric service provider competition: Applications of AI services Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-24 Shiqiang Yu, Chunxiang Guo
Recently, with the advancement of artificial intelligence (AI) technology (e.g. ChatGPT), more enterprises are incorporating AI into their customer service to reduce costs. However, the excessive use of AI technology will also reduce consumers’ satisfaction with services, and finding a balance between high-quality human service and cost-effective AI service is crucial for enterprises. To answer this
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Cross-channel influences in mobile-app-website e-commerce supply chains: When to weaken the influence? Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-18 Tana Siqin, Lu Yang, Sai-Ho Chung, Xin Wen
Today, e-commerce has entered the mobile era in which consumers can shop through both mobile app (MA) and website (WS) channels. By strategically designing the linkage between the two channels based on the cross-channel influences, companies can better handle the demand uncertainty of seasonal products. In this paper, we consider a dual channel e-commerce supply chain with an e-tailer and a manufacturer
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Data-driven product design and assortment optimization Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-13 Yugang Yu, Bo Wang, Shengming Zheng
Our study focuses on how real-world data can inform and enhance firms’ decisions around product design and assortment, which is critical in logistics, automotive, fast fashion and other industries. This article presents a data-driven analytics study on the challenges of new product design and product assortment. We first implement predictive analytics, utilizing a Multinomial Logit (MNL) model to estimate
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Scheduling of automated ore terminal operations based on fixed inflow rhythm Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-11 Zhendi Gao, Mingjun Ji, Lingrui Kong, Xinhao Hou
To facilitate transportation, some mines construct specialized ore terminals for outbound shipments. However, these terminals frequently encounter challenges when synchronizing their schedules with the production plans of the mines. The primary issue arises due to the inherent deviation between vessel demand and mine production schedules. The terminals must efficiently arrange storage positions for
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Navigating default risk in supply chain finance: Guidelines based on trade credit and equity vendor financing Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-08 Shuxiao Sun, Shengya Hua, Zhongyi Liu
Controlling default risks and mitigating the negative impacts of risk aversion behaviors are crucial in supply chain financial activities. However, limited academic research exists on how firms should behave under default risk controls and how to improve channel efficiency using equity vendor financing. In this study, we focus on a supply chain consisting of a default risk-controlling supplier and
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Embracing the power of AI in retail platform operations: Considering the showrooming effect and consumer returns Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-05 Qiang Wang, Xiang Ji, Nenggui Zhao
This study examines a duopoly market comprising an online retail platform and a physical store, both of them selling experience-based products to consumers who are unaware of the products’ fitness. The platform could introduce artificial intelligence (AI) technology into retail operations to address consumers’ fitness uncertainty and then gain market share, while the physical store could exert a service
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Optimal product and after-sales service decisions considering risk attitudes under price-dependent uncertain demand Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-03 Qingwei Wang, Meimei Zheng, Ka-Man Lee, Xiaoqian Shi, Yichi Shen, Ershun Pan
In this paper, we investigate a service-oriented manufacturer that provides fashionable products with after-sales services to customers. Before the selling season, the manufacturer invests in service capacity in advance and then decides on the production quantity and selling price based on updated demand information. Interestingly, it is found that the manufacturer’s production and pricing decisions
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Blockchains for SMEs: A Fit-Viability perspective moderated by organizational innovation diffusion for supply chain performance Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2024-01-03 Lai-Wan Wong, Garry Wei-Han Tan, Keng-Boon Ooi, Hing Kai Chan
This paper empirically examines the suitability of blockchain for improving supply chain performance in small-medium enterprises through the theoretical lens of the fit-viability model against the impact of organisation innovation diffusion level Data gathered from 206 respondents are analysed using partial least square-structured equation modelling (PLS-SEM) and artificial neural network (ANN). The
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Capacity sharing for ride-sourcing platforms under competition Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-29 Xiaonan Li, Xiangyong Li, Junxin Shi
The practice of capacity sharing among ride-sourcing platforms has significantly gained popularity, yet its full impact remains unexplored. In this paper, we investigate how capacity constraints and sharing affect platform profitability, customer surplus and labor welfare. We propose a Cournot competition model in which two competing platforms simultaneously decide on matching quantities, setting prices
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Contract design between relief organisations and private-sector vendors: A humanitarian logistics framework Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-29 Yu Fan, Jianfang Shao, Xihui Wang, Liang Liang
Amid increasing threats from natural disasters, the demand for relief supplies is growing quickly. As such, private-sector collaborations have been an efficient way for relief organisations to mitigate the burden of supply procurement and inventory. However, due to the complexity of disasters, such collaboration contracts are not one-size-fits-all. Based on our field investigation and literature review
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A relax-and-restrict matheuristic for supply chain network design with facility location and customer due date flexibility Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-27 Martin P. Kidd, Maryam Darvish, Leandro C. Coelho, Bernard Gendron
In this paper, we study a supply chain network design problem that takes into account several real-world features. Focusing on the growing use of third-party warehouse services, the paper discusses the creation of a network that can adjust to the needs of businesses to enhance operational flexibility and resource utilization. Moreover, it addresses the challenge of delivery date flexibility where the
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A Branch-and-Cut algorithm for the dial-a-ride problem with incompatible customer types Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-21 Arne Schulz, Christian Pfeiffer
Ridepooling is expected to become more and more important in people’s mobility. At the same time, autonomous vehicles are expected to be widely used in such applications in the future. While the driver as a person of trust currently provides security, passengers are alone with strangers in an autonomous ridepooling vehicle. In the paper, we address this aspect by including incompatibilities between
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Electric vehicle battery-charging service and operations managing under different charging station construction modes Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-18 Juan Tang, Guan-Qun Ji, Zhi Liu, Jiuh-Biing Sheu
Using electric vehicles (EVs) is considered as an effective way to reduce carbon emissions. In practice, (self) charging-mode EVs (CEVs) require a long charging time, which has led to the emergence of (battery) swapping-mode EVs (SEVs). This study first discusses whether the manufacturer should introduce SEVs and identifies the introduction conditions. Further, it investigates the impact of two construction
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Does parking matter? The impact of parking time on last-mile delivery optimization Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-14 Sara Reed, Ann Melissa Campbell, Barrett W. Thomas
Parking is a necessary component of traditional last-mile delivery practices, but finding parking can be difficult. Yet, the routing literature largely does not account for the need to find parking. In this paper, we address this challenge of finding parking through the Capacitated Delivery Problem with Parking (CDPP). Unlike other models in the literature, the CDPP accounts for parking time in the
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Financing a dual capital-constrained supply chain: Profit enhancement and diffusion effect of default risk Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-12 Xiaofeng Xie, Xiangfeng Chen, Xun Xu, Jing Gu
Supply chain finance (SCF) benefits participants by alleviating capital constraints and generating additional profits but also brings a host of disadvantages. This study examines and compares how various SCF schemes affect participants’ profits and the contagion and diffusion effects of default risk in a dual capital-constrained supply chain. This study used a game theoretical approach to investigate
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Horizontal cooperation strategies for competing manufacturers in a capital constrained supply chain Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-12 Ran Li, Jin-Jiang Yan, Xian-Yu Wang
Many studies concentrate on the vertical collaboration between upstream and downstream enterprises in the supply chain. However, we have observed that some competing manufacturers also engage in horizontal collaboration in practice, where they hold minority ownership shares in their rival, especially for those with limited initial capital. Although such collaboration has become increasingly prevalent
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A graph multi-attention network for predicting airport delays Transp. Res. Part E Logist. Transp. Rev. (IF 10.6) Pub Date : 2023-12-08 Hongfeng Zheng, Ziming Wang, Chuanpan Zheng, Yanjun Wang, Xiaoliang Fan, Wei Cong, Minghua Hu
Predicting airport delays is of great importance for aviation operations, from the development of effective air traffic management strategies to the reallocation of airline resources. In this paper, the long-term prediction of the next 24 h of network-wide delays is investigated. The sensitivity to error propagation over long time periods as well as dynamic spatial correlations and non-linear temporal