The incorporation of artificial intelligence (AI) and robust optimization methods for the planning and design of relief logistics networks under relief demand–supply uncertainty appears promising for intelligent disaster management (IDM). This research proposes a data-driven hybrid scenario-based robust (SBR) method for a mixed integer second-order cone programming (MISOCP) model that integrates machine

As the oversupply of shipping capacity and the competition within the shipping industry intensifies, liner alliances have emerged as the prevailing mode of cooperation. The members in a liner alliance often have different shipping resources, indicating that they have to coordinate the shipping resources with each other, in order to achieve smooth cooperation. During the coordination, the fairness of

This study designs a crowdshipping (CS) delivery system with public transport (PT) passengers at the operational decision-making level. In this system, parcel lockers (PLs) are positioned in PT stations, through which small and light parcels are allocated to passengers for delivery to their final delivery addresses (i.e., performing the last-mile delivery). A probabilistic mathematical model is formulated

To address stakeholders’ interests, firms increasingly adopt a dual-purpose agenda, typically involving the pursuit of profits and consumer surplus (CS). This study considers a supply chain dynamic involving a retailer and a national brand (NB) manufacturer, both potentially pursuing dual purposes, to investigate how their dual-purpose nature influences the introduction and quality strategies of the

In group buying (GB), the retailer launches a deal with a discounted product price and a minimum group size requirement. Strategic consumers then determine whether to sign up for the GB deal or purchase the product at the regular price immediately. If GB fails, disappointed GB participants perceive a negative psychological utility and decide whether or not to buy it again at the regular price. Considering

This work is concerned with the daily package shipment problem that aims to find low-cost paths for a large volume of packages and transportation vehicles over a network of transshipment centers (TCs). For Chinese courier companies, this typically involves tens of thousands of origin–destination (OD) pairs and has to be solved in a limited time window every early morning. Inspired by their industry

We study the incentives of an airline and a high-speed rail (HSR) operator to incur sunk costs and cooperate in a hub-and-spoke network with a congested hub airport. Contrary to common wisdom, we find that a high delay cost at the hub reduces incentives to cooperate, and that hub traffic may increase after cooperation. We show that airline-HSR cooperation improves consumer surplus, since higher passenger

In high-speed railway systems, unexpected disruptions can result in delays of trains, significantly affecting the quality of service for passengers. Train Timetable Rescheduling (TTR) is a crucial task in the daily operation of high-speed railways to maintain punctuality and efficiency in the face of such unforeseen disruptions. Most existing studies on TTR are based on integer programming (IP) techniques

Truck platooning, a linking technology of trucks on the highway, has gained enormous attention in recent years due to its benefits in energy and operation cost savings. However, most existing studies on truck platooning limit their focus on particular scenarios that each truck can serve only one customer demand and is thus with a specified origin–destination pair, so only routing and time schedules

The recent application of the rational inattention (RI) theory in transportation has shed light on a promising alternative way of understanding how information influences the travel choices of passengers. However, existing RI literature has not yet addressed the discrete choice problem with multiple variates. Thus, this study develops a multivariate rational inattention (MRI) discrete choice model

This paper considers an intelligent warehouse system (IWS) that requires the seamless cooperation of three types of mobile robots: automated guided vehicles (AGVs), rail-guided vehicles (RGVs), and gantry lifting devices (GLDs). Compared to the conventional system, which comprises AGVs, the IWS is more flexible in addressing with the customized demands of diverse enterprises. This paper proposes an

This study examines the research and development (R&D) investment strategies of two competing logistics firms under the influence of spillover effects and government subsidies. Firms must decide whether to invest in similar or distinct R&D techniques, or to forgo R&D entirely. Spillover effects occur only when firms adopt different R&D techniques, including cases where one firm chooses not to invest

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

An accurate prediction of energy consumption in electric buses (EBs) can effectively reduce driving range anxiety and facilitate bus scheduling. Existing studies have not provided real-time predictions based on distance traveled using integrated machine learning methods. This study proposes a framework for predicting EB energy consumption, which is primarily divided into energy consumption estimation

Bus services often face operational delays due to dynamic conditions such as traffic congestion, which can propagate through bus routes, affecting overall system performance. Understanding the causes of bus arrival delays is crucial for effective public transport management and control. Moreover, understanding the contribution of each factor to bus delays not only aids in developing targeted strategies

This study focuses on a novel variant of the classical two-echelon vehicle routing problem (2E-VRP), termed the two-echelon vehicle routing problem with dual-customer satisfaction (2E-VRP-DS) (i.e. time windows satisfaction and freshness satisfaction) in community group-buying. It is important to obtain better solutions for the 2E-VRP-DS with long-distance distribution in the first echelon and last-mile

This study explores the impact of information sharing on green supply chains with horizontal competition, addressing an important yet underexplored issue. Using a Stackelberg game framework, we examine green product design and information-sharing dynamics in a supply chain consisting of a common retailer and two competing manufacturers. The retailer decides whether to share green demand information

Robotic Cellular Warehousing Systems provide an innovative robot-to-goods picking approach designed to improve robot transportation efficiency, where robots move to pick items and transport the picked items to workstations. In this study, we investigate the optimal operating policies for such a system by comparing two picking strategies (pick-while-sort and pick-then-sort) and three robot-to-workstation

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

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

Improving recovery efficiency is a key concern for collectors in a closed-loop supply chain (CLSC) with remanufacturing, as customers often consider the inconvenience of recycling channels when returning used products. This issue profoundly affects collectors’ capacity to recover materials. In a two-period CLSC with remanufacturing, including a manufacturer and a retailer, we develop game-theoretical

The integration of trucks and drones in last-mile delivery has introduced new capabilities to the transportation industry. These two vehicles simultaneously offer unique features, which have improved performance and efficiency in the process of delivering products. This paper investigates a robust parallel drone scheduling traveling salesman problem with supporting drone, where drone travel times are

A two-dimensional vector packing problem with conflicts and time windows (2DVPPCTW) is investigated in this study. It consists of packing items into the minimum number of bins, and items are characterized by different weights, volumes, and time windows. Items also have conflicts and cannot be packed in the same bin. We formulate the 2DVPPCTW as an integer programming model and reformulate it to the

This paper develops a game-theoretical model to investigate the adoption of personalized pricing in a supply chain with a common retailer and multiple suppliers. We first analyze the optimal personalized pricing strategy for the retailer and then examine its economic impacts on both suppliers and the entire supply chain, aiming to provide insights for supply chain managers regarding the adoption of

This paper investigates a location–routing problem with heterogeneous fleet and weight-based carbon emissions, aiming to minimize total operating costs, including depot and vehicle fixed costs and carbon emissions. The problem is formulated using an extended formulation, from which a relaxation is derived. The relaxation is further strengthened with additional cuts. For this problem, we devise an exact

With the growing emphasis on green shipping to reduce the environmental impact of maritime transportation, optimizing fuel consumption with maintaining high service quality has become critical in port operations. Ports are essential nodes in global supply chains, where tugboats play a pivotal role in the safe and efficient maneuvering of ships within constrained environments. However, existing literature

The advent of same-day delivery services has achieved immense popularity, driven by escalating customer expectations on fast shipping and the need for market competitiveness. To optimize such services, the use of heterogeneous fleets with vehicles and drones has proven effective in reducing the resource requirements needed for delivery. This paper focuses on investigating the same-day delivery dispatching

As e-commerce grows, tackling its environmental impacts, including those of packaging, becomes increasingly challenging. This study explores the benefits of reusable industrial packaging systems in the e-commerce industry, addressing ecological and financial perspectives. We contribute by formulating a generalized balancing problem for returnable transport items (RTIs) and developing a discrete-event

This paper considers a parallel stack loading problem with multiple batches of storage plates, a problem that occurs in the plate logistics of shipbuilding. The objective of this problem is to store batches of plates in a yard simultaneously so that the number of relocations during the retrieval stage is minimal. Instead of choosing the plates’ location in the yard alone, the storage order should also

To enhance the efficiency and sustainability of urban freight operations, China has initiated the Urban Green Freight Delivery (UGFD) project, which involves optimizing access control policies and introducing new energy vehicles. Identifying the parking trips of new energy vehicles and exploring the spatiotemporal patterns is crucial to actively promoting the optimal layout of temporary stops and the

Urban drone delivery, a rapidly evolving sector, holds the potential to enhance accessibility, address last-mile delivery issues, and alleviate ground traffic congestion in cities. Effective Unmanned Aircraft System Traffic Management (UTM) is essential to scale drone delivery. A critical aspect of UTM involves planning a city-wide network with spatially-separated air corridors (air routes). Most existing

Unlike traditional recharging at fixed stations, wireless charging lanes equipped on the road network enable electric vehicles (EVs) to recharge while in motion, reducing the time required for EV recharging. Indeed, the availability of wireless charging lanes allows the urban freight transport service operators to consider adjusting EVs routing plan to do EV recharging in transit so that the total

The liberalization of the transport market and advancements in real-time information technologies have prospered various shared mobility services, such as ridesourcing and carsharing. The emergence of these services complicates the relationships between them and public transport, as they often compete and cooperate simultaneously. This study develops a game-theoretic model to unveil these interactions

Manufacturer encroachment becomes increasingly more prevalent and incurs channel competition and product competition. This paper investigates an effective encroachment format (i.e., direct selling or agent selling) to ease channel competition, and analyzes how providing vertically differentiated products (i.e., easing product competition) affects the effectiveness of easing channel competition in improving

The demand for last-mile parcel delivery services is expected to increase. Great efforts are therefore being made to develop new ideas for more efficient last-mile delivery. One of the more recent concepts are Mobile Parcel Lockers (MPL), which can be easily repositioned to meet the actual daily demand for deliveries. In this work, we introduce the Mobile Home Delivery Parcel Locker (MHDPL) problem

Shared privately-owned autonomous vehicles (SPAVs) are expected to be a primary alternative to existing car-sharing and on-demand mobility services when fully automated vehicles are soon to be privatized. In this paradigm, PAV owners make decisions on whether/when/where/for how long to share their PAVs, which would make a dynamic fleet of SPAVs. To improve the effectiveness of such a mobility system

When adopting a dual-channel strategy, a supplier who initially provides the goods for an e-commerce platform’s reselling scheme typically has two direct-sale options: (i) retail channel encroachment by opening an independent store or (ii) commission channel encroachment through selling on the platform’s online marketplace. The supplier receives all retail revenue in the former but incurs a channel

Being a fundamental link in the global supply chain and logistics system, the global container shipping network (GCSN) is highly interconnected, which causes the network resilience challenges by the cascading failures triggered by extreme events (e.g., COVID-19 and regional conflicts). Within this dynamic process, the load redistribution behaviour is the core countermeasure for the propagation of cascading

Decision making (DM) is essential and proven to be a natural and inherent part of the success of transport systems, particularly given the fast growth of autonomous systems in transport. It is critical but remains challenging to understand and predict DM performance in transport, because operators’ mental states have not been effectively considered in complex DM processes such as ship anti-collision

The increasing prevalence of chronic diseases necessitates efficient and accessible healthcare delivery models, making telehealth platforms a promising solution. Telehealth has significantly improved chronic patients’ health by providing convenient, accessible, and personalized care, ultimately reducing hospital readmissions and improving patient outcomes. This research investigates the strategic collaboration

The International Sustainability Standards Board’s (ISSB’s) validation of Scope 3 greenhouse gas emissions disclosure requirements represents a pivotal advancement in sustainability reporting. This study examines the implications of this validation for US-listed manufacturing firms’ stock valuations, taking into account the moderating effect of supplier complexity. Employing the event study methodology

Given the increasing concerns about energy consumption and rising consumer social responsibility, firms producing brown products should consider transitioning to greener alternatives that are less harmful to the environment. To examine this, we employ a Stackelberg model to analyze the price and quality of brown and green products (e.g., gasoline and electric vehicles) across three product-line strategies:

Low-carbon technology sharing (LTS) is often viewed as a positive factor for enterprise operations, which can not only encourage the spread of low carbon technologies but also serve as a source of financing for capital-constrained manufacturers. However, it is not clear how LTS works in a capital-constrained supply chain. This study incorporates LTS into the design of supply chain finance schemes,

This paper investigates a reliable ship fleet planning problem with the uncertainties of container shipping demand, transport costs and freight rates in liner shipping services, and this problem is formulated as a two-stage robust optimization model. In our model, the first-stage decision is to determine the types and quantities of ships, as well as their allocation to different routes, and the second-stage

This study investigates the disclosure strategies for quality information in a dual-channel supply chain comprising a manufacturer and a dual-purpose online platform focusing on both profit and consumer surplus. We elaborate on two disclosure formats: the P-C format, in which the platform discloses quality information, and the M-C format, in which the manufacturer discloses quality information. The

This study investigates a two-echelon supply chain comprising a retailer, who considers whether to sell products as online-exclusive (products available only online) versus hybrid (products available both online and offline), and a supplier, who considers whether to encroach the online market. Given that there are more product varieties online than offline and competitive online marketplace, it remains

Truck platooning is a promising technology for reducing energy consumption, increasing vehicle safety, and improving traffic efficiency. In this paper, we examine the cost-effectiveness of truck platooning from the perspective of a freight company fulfilling full truckload pickup and delivery requests over a transportation network. During transportation, trucks can form platoons on the traversed road

Container shipping demands are usually classified into long-term contract demands from large shippers and ad hoc demands from spot shippers. Compared with stable long-term contract demands, spot container shipping demands are often unstable due to their high frequent cancellations during the slot booking period and their uncertain arrivals even no-shows. This poses a challenge for shipping companies

Logistics service affects product sales and therefore plays a vital role in influencing the selling mode strategy. We investigate how two types of logistics service, namely third-party service and platform service, impact the selling mode choice between reselling and agency selling. We identify that the platform’s commission rate and product-service efficiency jointly shape the selling mode strategy

This study investigates an on-demand first-and-last-mile ridesharing service (FLRS) problem considering the time-dependent travel time for an operator who manage a heterogeneous vehicle fleet. The operator, aiming to minimize the total operational cost, needs to simultaneously serve both first-mile (FM) and last-mile (LM) trips around a public transportation hub, such as a metro station. To holistically

Massive COVID-19 vaccination can significantly reduce both mild and severe infection rates. Some governments have adopted mobile vaccination vehicles, offering a more convenient and flexible service compared to static walk-in sites. This paper addresses a new scheduling problem arising from the mobile COVID-19 vaccination planning practice. Given a set of communities, each with a specific number of

This paper addresses yard template generation problem in automated container terminals when the vessel arrival schedule is uncertain. Since the yard is central to terminal operations, yard management directly affects the efficiency of most equipment. Yard template functions as a tactical-level yard management strategy, allocating yard space to vessels that call at the port on a weekly basis. By analyzing

Trade-in and resale programs are increasingly adopted by retail platforms, boosting sales and generating additional profits through the resale of used products. Consequently, manufacturers selling new products on these platforms should re-evaluate their selling strategies (wholesale or agency). We construct a game-theoretic model to examine when a retail platform should introduce trade-in and resale

Online-ordered meal logistics services (OMLSs) that accept online bookings and make vehicle plans to deliver meals from restaurants to customers have recently emerged. Customers have the option to cancel orders that are not delivered by appointment times, leading to significant financial, reputational, and customer losses for the OMLS providers. This study aims to make an appropriate vehicle plan for

The ongoing advancement of 3D printing technology provides an innovative approach to addressing challenges in disaster relief operations. By utilizing a variety of printing materials, 3D printers can produce essential disaster relief resources needed for disaster relief, effectively satisfying the varied demands that arise after disasters. This paper examines the joint optimization of pre-disaster

By leveraging the derived revenue from subscription services, our study investigates the feasibility of shared bicycle platforms using pricing strategies for these services to enhance their market competitiveness. We establish that, in scenarios where platforms set prices independently, the derived revenue can effectively counterbalance the potential deficits stemming from service expenditures. In

Current methods for detecting outliers in traffic streaming data often struggle to capture real-time dynamic changes in traffic conditions and differentiate between genuine changes and anomalies. This study proposes a novel approach to outlier detection in traffic streaming data that effectively addresses stochasticity and uncertainty in observations. The proposed method utilizes Stochastic Differential

In complex mobility systems, the widespread presence of spatiotemporal anomaly patterns poses substantial challenges to effective governance and decision-making. A notable example of this challenge is evident in traffic anomalous incidents detection, where the combination of low accuracy in anomaly detection and poor scenario generalization performance significantly impacts the overall performance

Travel time estimation is important for instant delivery, vehicle routing, and ride-hailing. Most studies estimate the travel time of specified routes, and only a few studies pay attention to origin–destination travel time estimation (OD-TTE) without a specified route. Moreover, most of these studies on OD-TTE ignore the personalized route preference and the cost of data annotation. To fill this research

As ride-hailing services have experienced significant growth, most research has concentrated on the dispatching mode, where drivers must accept the platform’s assigned trip requests. However, the broadcasting mode, in which drivers can freely choose their preferred orders from those broadcast by the platform, has received less attention. One crucial but challenging task in such a system is the determination