In practice, interest subsidy and direct subsidy are implemented by many governments to alleviate the financial burdens on farmers who seek loans from banks. However, the issues regarding whether these subsidies should be adopted and which subsidy policy is more effective under bank financing remain underexplored. To address the gap, this paper investigates the impact of distinct subsidy policies on

In this paper, we study the transaction mechanism design problem for a market where shippers and carriers dynamically arrive at and depart from an online freight platform to trade their transport services over a transport network. The agents are self-interested and their valuations, costs, and arrival and departure times are private information. We propose online double auction mechanisms to dynamically

As autonomous vehicles (AVs) advance and gradually integrate into urban roadways, managing traffic in mixed environments, where human-driven vehicles (HVs) coexist with AVs, has become a critical challenge. Previous research has developed several optimal network design models for autonomous driving lanes (ADLs) to partially address this issue. However, these studies largely overlook uncertainties in

This paper presents a stochastic version of the dial-a-ride problem with interrelated trips. Interrelated trips refer to transportation requests where travelers need to arrive at meeting locations simultaneously or where round trips involve a specific amount of time spent at destination locations, such as for medical consultations. In this variant of the problem, the durations of the travelers’ stays

In recent years, the occurrence of various natural disasters and emergencies has led to a significant increase in cases of long-term supply chain disruption, resulting in substantial impacts. Consequently, the supply chain is now confronted with greater uncertainties and risks. In this context, both scholars and enterprises are increasingly emphasizing the importance of managing supply chain resilience

Rising EV exports and regional instability have increased shipping costs. Many electric vehicle manufacturers (EVMs) purchase and operate newly built pure car and truck carriers (PCTC), which are greener and more energy-efficient than traditional car carriers, to lower shipping costs and improve global supply-chain resilience. Meanwhile, EVMs strategically adjust EV prices and production quantities

This study investigates a real-time vehicle relocation and charging strategy (RT-VR&CS) problem for the one-way electric carsharing services considering demand dynamics and practical nonlinear charging profile. The RT-VR&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

This paper investigates the suitability of hub-based structures for coping with so-called regional transportation networks, i.e., transportation structures able to connect any two nodes in the network respecting a tight service level requirement. While hub-and-spoke structures have been extensively studied in the literature, they were typically approached as strategic problems with minimal focus on

Balancing supply and demand in free-floating one-way carsharing systems is a critical operational challenge. This paper presents a novel approach that integrates a binary logit model into a mixed integer linear programming framework to optimize short-term pricing and fleet relocation. Demand modeling, based on a binary logit model, aggregates different trips under a unified utility model and improves

The Fourth Party Logistics Service platform aims to provide customers with one-stop logistics services by combining logistics services from different logistics service providers. However, it is an important challenge to quickly build the logistics service combination with the maximum overall profit under the premise of satisfying spatial–temporal constraints. The traditional heuristic algorithm has

Platforms empower farmers to address the quality and safety issues of agricultural products by offering blockchain technology and improving product quality. Recently, live streaming becomes a new sales channel to sell products, and plays a key role in enhancing the visibility of agricultural products and introducing detailed information of agricultural products in real time. This disrupted the long-term

Returns tend to cut profit and leave consumers unhappy, making returns management a critical issue in supply chain operations. This paper investigates the role of consumer disappointment aversion, stemming from product value uncertainty, in shaping critical operational decisions in a return-focused supply chain, including the pricing policy, the manufacturer’s returns collection strategy (direct returns

As an innovative alternative to ridesharing, flex-route transit (FRT) is widely acknowledged as a promising solution, especially in scenarios in which transportation demand is low or dispersed. This paper addresses the FRT planning problem with meeting points (FRTPP-MP), which conceptualizes each passenger’s pick-up/drop-off request as a set of points (i.e., a cluster) containing the designated pick-up/drop-off

This study introduces a model that combines dynamic disease modeling and an optimization approach for drone-based vaccine delivery to achieve fair distribution and enhance equity in vaccine access across different regions, including rural areas and small cities. Our approach aims to achieve optimal allocation of vaccines by considering regional infection rates and equilibrium vaccination rates, which

The increasing focus on energy consumption and carbon emissions has spurred interest in application of the hybrid electric vehicles (HEVs) for logistics and transportation. This paper proposes a multi-mode hybrid electric vehicle routing problem with time windows (MM-HEVRPTW), in which the HEVs are allowed to operate in combustion, electric, charging, and boost modes. The MM-HEVRPTW simultaneously

Supply chain network design, a critical aspect of supply chain management, involves determining the physical network through which goods flow from suppliers to end customers. Strategic decisions involve locating facilities, capacity planning, and sourcing, which are crucial for cost-effectiveness and competitiveness. Traditionally, companies make these decisions in isolation, neglecting their interconnectivity

This research examines the quality co-creation practice in the mobile application supply chain composed of a mobile application developer and a mobile application distributor within a revenue-sharing framework. We analyze whether the distributional fairness concern of supply chain entities and the endogeneity or exogeneity of revenue-retaining ratio exert great influence on supply chain decisions and

In the face of unprecedented global supply chain disruptions, enhancing supply chain resilience (SCR) has become a critical priority. This empirical study examines the crucial role of resource orchestration, encompassing internal reconfiguration and external integration, across the three dynamic capabilities of SCR: readiness, response, and recovery. Additionally, it investigates the moderating effect

In emergency disaster response, the dynamic nature and uncertainty of resource transportation pose significant challenges for vehicle routing planning. We address a truck-drone collaborative routing problem in humanitarian logistics, where a set of truck-drone tandems collaboratively deliver relief resources from a distribution center to a set of affected areas which is dynamically updated as disaster

This study presents a comprehensive decision-making framework that employs eXplainable Artificial Intelligence (XAI)-based methods to improve proactive road transport safety management, which is critical for global supply chain networks. The framework offers explainable predictions as well as suggestions pertaining to the near-future digitization of safety tools and their usage, customized for road

In the initial phase of implementing connected and automated vehicle (CAV) technology, the coexistence of human-driven vehicles (HVs) and CAVs is anticipated for the foreseeable future. While dedicated CAV lane is recognized as an effective solution to enhance traffic safety and efficiency in mixed traffic scenarios, it faces the challenges of road resource wastage, especially at low CAV penetration

In this increasingly highly turbulent environment, firms are facing demand changes, many of which are unpredictable. Furthermore, the magnitude of such uncertainties is unpredictable. Thus, firms have limited options as to how to prepare for such uncertainties. A viable strategy that firms may employ to cope with uncertainties effectively is operational flexibility. Firms’ operational flexibility is

The urgent need for rapid disaster response mechanisms, particularlyin the event ofearthquakes, is critical. In response to directives from the National Crisis Management Supreme Council, a plan has been initiated to establish distribution centers across all zones of Tehran, Iran,which signalsa significant shift towards decentralization. However, land scarcity and road blockages hinder thefull realization

Transit frequency design is critical in determining the performance of public transit services. In the literature, single-period frequency design is often considered but ignores the demand variation over time of day. Moreover, in high-demand bus networks, the demand patterns are asymmetric in both directions of some bus routes. This study investigates a bus operation strategy to address these two issues

Synchromodal freight transport is characterized by its inherent dynamicity, necessitating the need for optimal decision-making in the presence of uncertainties in the real world. However, most prior research has overlooked the complexities of uncertainty modeling, often relying on assumed probability distributions that may not accurately reflect real-world conditions. This study presents a learning-based

With the increasing demand for air transport, numerous airports have exceeded their available capacity, resulting in more frequent congestion and disruptions. Therefore, airport gate assignment plans must prioritise robustness to alleviate congestion, absorb disruptions, and maintain high service levels. Given the uncertainties in airside operations, providing robust decisions is challenging. To address

Maritime cybersecurity has emerged as a critical and rapidly evolving research field, necessitated by the increasing reliance on digital technologies and interconnectivity within the global maritime industry. In this paper, we adopt a bibliometric analysis method to review the existing academic publications pertaining to maritime cybersecurity, aiming to provide a comprehensive overview of the development

It is well known that supply chains should leverage information sharing from stakeholders as a measure to drive business growth. However, the practice of information sharing for supply chain management has been fairly limited due to the high cost of meeting differential user needs, information-island from centralized storage, and inefficient information value capture. To address these concerns, we

In a technology-intensive supply chain, branding can significantly enhance consumers’ perception of a technology’s contribution to the final products, making it potentially beneficial for the technology provider. However, many technology providers operate behind the scenes as pure suppliers, rather than branding themselves. The reasons behind these heterogeneous branding decisions among technology

This paper investigates a dynamic inventory-pricing system with perishable products of multiple freshness levels. The firm may set different prices for items of different freshness levels, and customers either balk or choose to buy the freshness level that maximizes their utility. We model this inventory-pricing problem as a Markov decision process, where the assortment dynamically changes based on

Remanufacturing is a viable and indispensable method to restore used electronics to near-new condition, combating the alarming rise of end-of-life (EOL) products, particularly in the field of electronic waste. It aligns with Environmental, Social, and Governance (ESG) principles, emphasizing sustainability and responsible resource management. In this paper, we consider a remanufacturer’s problem in

This study develops a model to optimize warehouse space allocation to maximize throughput based on the capabilities of the delivery company. A bounded knapsack model is suggested for strategic customer selection. It integrates the customer’s inputs and the delivery company’s capabilities to determine a subset of customers and the respective volume amounts that need to be selected from each customer

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

With the rapid expansion of e-commerce and the resulting surge in parcel delivery demands, the integration of trucks and unmanned ground vehicles (UGVs) in last-mile package delivery provides a more efficient and sustainable venue for a logistics system. However, coordinating trucks and UGVs in the context of fluctuating traffic conditions, especially with varying travel times, continues to be a significant

We study an innovative autonomous vehicle storage and retrieval system equipped with a double-capacity lift (AVS/RS-DL), where the lift is capable of transporting two unit loads simultaneously. Therefore, given a set of retrieval requests, the retrieval sequencing problem consists of deciding which requests are paired together in the same tour and determining the sequence in which the requests are

Augmented Reality (AR) has been increasingly applied in e-commerce to facilitate consumer purchasing. This paper characterizes and models two features of AR: the Accuracy Effect and Entertainment Effect. The former refers to AR mitigating consumer valuation bias, while the latter refers to the psychological entertainment consumers obtain when using AR to facilitate their purchasing. Although AR mitigates

This paper investigates The Electric Vehicle Dial-a-Ride Problem: Integrating Ride-Sharing and Time-of-Use Electricity Pricing (DAR-RSTOU), which involves designing a set of minimum-cost routes to service all customers for a fleet of electric vehicles (EVs). The characteristics of the problem include: (1) the use of EVs and consideration of partial charging strategies; (2) a maximum ride time duration

We consider an online retailer that sells one product to consumers with product fit uncertainty. In addition to the return strategy, the retailer can introduce a virtual showroom online. Each consumer in a virtual showroom strategically optimizes the experience process prior to the purchase decision-making, which involves the trade-off between the expended effort cost in the product interaction and

To mitigate the significant environmental impacts of the shipping industry, the International Maritime Organization (IMO) introduced the Carbon Intensity Indicator (CII), which measures CO2 emissions per unit of cargo-carrying capacity and distance traveled. While the implementation of energy-efficient technologies is crucial for meeting CII regulations, these advancements often entail substantial

In a supply chain network, satisfying the demand at the shop level while having a smooth production at the manufacturer (or plant) level are usually conflicting objectives. For instance, the production variations will be high if the shops can order exactly what they need and when they need it. On the other hand, producing the same amount each day prevents to adapt to the variations of the demand and

As the e-commerce industry ascends, the strain on warehouse operation to manage order processing has intensified significantly. This paper pioneers the integration of mobile composite robot (MCR) for order assigning and path planning in warehouse. A mathematical model is established with the objective function of minimizing the time to complete orders. An algorithm based on column generation is developed

Advanced Purchase Discount (APD) and transshipment are two popular strategies to hedge against demand uncertainties in supply chains. However, so far there are no theoretical guidelines on which strategy should be selected under what situations. Moreover, fewer scholars investigate the joint impacts when both strategies are adopted in the same supply chain. This paper examines the interaction between

Humanitarian supply chains (HSCs) play a crucial role in mitigating the impacts of natural disasters and preventing humanitarian crises. Designing resilient HSCs is critically important to ensure effective recovery and long-term sustainability during and after such events. This study addresses the design of resilient HSCs with viability consideration under known-unknown demand and capacity uncertainties

Artificial intelligence is becoming the new foundation of companies’ business operations. The nature of “technical staff” work is changing as a result of artificial intelligence, affecting their mental workload. According to multiple resource theory, both mental underload and overload might result in operational mishaps. We recruited high-speed rail (HSR) drivers from the transportation industry and

The increasing demand for container shipping has increased the difficulty of yard management and container processing time. High-density container tower ports are next-generation ports. They have advantages, such as stable steel frame structures, high yard land utilization rates, and eliminating the need for container reshuffling operations. This study investigates berth and storage space allocation

This study presents a novel framework called Total Fulfillment Management (TFM), which integrates inbound warehousing and outbound transportation operations into a unified system. TFM draws inspiration from the time-tested philosophies of Total Quality Management and Just-In-Time production, adapting these principles to the modern logistics context. This paper introduces the Fulfillment Synchronization

Ridesplitting travel can provide numerous social and environmental benefits, including reducing vehicle usage and traffic congestion, and decreasing energy consumption and greenhouse gas emissions. This study examines the practicability of integrating the function of midway stops into ridesplitting services. Considering two coexisting matching forms: pre-pool-matching and en-route matching, the ridesplitting

Many e-commerce platforms allow third-party sellers (manufacturers and retailers) to sell on their websites for commission fees. In particular, manufacturers can sell directly on the platforms (agency selling) or wholesale products to their retailers, who then resell on the platforms (reselling). Competition arises among these downstream sellers. Moreover, manufacturers make pricing and advertising

The detrimental consequences of accidents in the supply chain pose a major challenge to the management of transportation risks in the hazardous products supply chain. The development of a sustainable hazardous products risk management method is an important research problem. For this purpose, this paper investigates the hazardous products supply chain design problem with the deployment of an emergency

In this article, we consider a truck carrier aiming to set contracts with multiple hub providers to reserve hub capacities in a hyperconnected relay transportation network. This network enables long-haul freight shipments to be transported by multiple short-haul drivers commuting between fixed-base hubs, promoting a driver-friendly approach. We introduce the dynamic stochastic hub capacity-routing

During the transition phase when connected and autonomous vehicles (CAVs) and human driven vehicles (HDVs) coexist on the road, it is essential to devise scientific lane management strategies for CAVs in enhancing the operational efficiency of the transportation system (TS). It is worth noting that most current studies do not incorporate the resilience requirements of the TS to effectively respond

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

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

This study investigates a supply chain comprising a technology patent holder, a national brand, and an outsourcing manufacturer. Through the development of an analytical model, we explore the effects of downstream co-opetition on the patent holder’s licensing strategies and clarify the interactive dynamics between the involved parties. The key findings are as follows: (1) Enhancing consumer’s perceived

Connected and Automated Vehicles (CAVs) are critical components of Intelligent Transportation Systems (ITS) to address traffic accidents and congestion and improve fuel economy. It remains an unsolved challenge to guarantee string stability for cooperative control of CAVs under general topologies. This study proposes a distributed tube-based model predictive control (TMPC) approach for string stable

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

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

Many countries are facing escalating urban shrinkage, with vast swathes of urban areas becoming desolate. Urban managers urgently need strategies to mitigate land and infrastructure wastage. Although many studies have developed trend prediction models based on single-source data, these models cannot analyze the causes, evolution, and impacts of urban shrinkage using multiple data sources and residents’

In highly automated warehouses characterized by unpredictable demand, timely decision-making is critical to maintaining operational efficiency. This study proposes a forecasting and alerting system for real-time warehouse management. The system utilizes a Machine Learning (ML)-based predictive model to forecast picking order tardiness using Warehouse Management System data, complemented by a real-time

This paper explores the application of artificial intelligence (AI) in supply chain management, focusing on its impact on service models at both the front and back ends of the supply chain (SC). We employ a Stackelberg game model to construct an SC system consisting of a single manufacturer and a single retailer, aiming to assess the impact of AI on SC performance and explore strategic selection considerations