Cross-Platform Logistics Collaboration: The Impact of a Self-Built Delivery Service DOI Creative Commons
L.-X. Li, Gang Li

Journal of theoretical and applied electronic commerce research, Journal Year: 2024, Volume and Issue: 20(1), P. 3 - 3

Published: Dec. 27, 2024

Motivated by the collaboration of a takeout platform and crowdsourced delivery platform, we developed stylized model to explore interplay between two platforms’ decisions. We captured cross-platform network effects complementary platforms, investigated how platforms shapes optimal prices, profits, social welfare. found that optimally adopts subsidy pricing strategy when its commission rate is relatively high. In addition, demand-side effect coefficient increases, raises shipping fee trigger larger supply drivers. Furthermore, introducing self-logistics service reduces intensity threshold. It also reshapes strategic two-sided increase benefit grows on one side. Specifically, as supply-side instead lowering price demand further drivers’ benefit, it under certain conditions. Finally, may while hurting can Our results, thus, unveil regime for validate effectiveness introduction platforms.

Language: Английский

Order Distribution and Routing Optimization for Takeout Delivery under Drone–Rider Joint Delivery Mode DOI Creative Commons
Fuqiang Lu,

Runxue Jiang,

Hualing Bi

et al.

Journal of theoretical and applied electronic commerce research, Journal Year: 2024, Volume and Issue: 19(2), P. 774 - 796

Published: April 3, 2024

Order distribution and routing optimization of takeout delivery is a challenging research topic in the field e-commerce. In this paper, we propose drone–rider joint mode with multi-distribution center collaboration for problems limited-service range, unreasonable distribution, high cost, tight time windows process. The model constructed minimum cost overall maximum customer satisfaction as objective function, two-stage heuristic algorithm designed to solve model. first stage, Euclidean distance used classify customers into regions belonging different centers, affinity propagation (AP) clustering applied allocate orders from centers. second stage uses an improved tabu search route based on specifying number rider drone calls. This paper takes China’s Ele.me Meituan reference object Solomon data set research. experimental results show that compared traditional mode, multiple can effectively reduce riders used, lower improve satisfaction.

Language: Английский

Citations

22
Evaluation on the development of urban low-carbon passenger transportation structure in Tianjin DOI
Fuqiang Lu,

Haojun Hao,

Hualing Bi

et al.

Research in Transportation Business & Management, Journal Year: 2024, Volume and Issue: 55, P. 101142 - 101142

Published: May 21, 2024

Language: Английский

Citations

16
Risk Assessment and Countermeasures of Logistics Terminal Distribution under Public Health Emergencies DOI Creative Commons
Hualing Bi, Ran Zheng, Fuqiang Lu

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(4), P. 128 - 128

Published: April 7, 2024

In recent years, the frequent occurrence of public health emergencies has affected people’s daily lives. response, this paper evaluates risk logistics terminal distribution and puts forward corresponding countermeasures. Firstly, summarizes relevant literature analyzes characteristics distribution. This constructs index system under for first time. Secondly, conducts a questionnaire survey on domestic e-commerce enterprise. paper, intuitionistic fuzzy entropy weight method is applied to obtained data determine index. Finally, adopts grey comprehensive evaluation evaluate emergencies. takes impact into account Some suggestions are provided preventing from stagnation paralysis when occur. supplements existing research in field.

Language: Английский

Citations

5
Multi-objective dragonfly algorithm for optimizing a sustainable supply chain under resource sharing conditions DOI
Amir-Mohammad Golmohammadi, Hamidreza Abedsoltan, Alireza Goli

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 187, P. 109837 - 109837

Published: Dec. 14, 2023

Language: Английский

Citations

11
Pickup and delivery planning for the crowdsourced freight delivery routing problem DOI Creative Commons
Zhang Jingxian

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0318432 - e0318432

Published: Feb. 24, 2025

Pickup and delivery problem (PDP) dynamic vehicle routing (DVRP) are two key components of crowdsourced freight services. Although previous research has focused predominantly on static problems, this study formally defines the specific to presents a mixed-integer linear programming model based rolling-horizon framework. The objective is minimize total service costs, including fixed transportation penalty costs for delays, while planning routes that cover all orders. To solve combinatorial optimization problem, we propose an improved partheno genetic algorithm (IPGA) simulated annealing (SA). Numerical experiments demonstrate IPGA outperforms SA, reducing by over 10% average. In addition, real-world case illustrates practical applicability our algorithms, providing solid foundation implementation.

Language: Английский

Citations

0
Optimal pricing strategy: rural delivery and service sharing DOI
Lu Liu,

Qi Lin,

Xiaoxi Zhang

et al.

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Purpose While eCommerce logistics has boomed, the urban-rural gap in last mile infrastructure remains, with structural imbalance resources becoming increasingly stark. Rural areas are vast and sparsely populated, demand for service is less scattered. This leads to poor rural low efficiency. paper promotes sharing of improve efficiency by optimizing resource pricing strategy. Our results provide reference decision-making delivery mode areas. Design/methodology/approach applies a game theoretic model service, specifically distribution two competing players operating one region. The under non-sharing/sharing built, optimal strategies obtained. Findings willingness decision given based on cost, consumer price-sensitivity market potential. We find that should prevail, albeit within an range. help quality delivery. Originality/value work references firms know when switch from mechanism another choosing right strategy pricing, thus enhance

Language: Английский

Citations

0
Regression Machine Learning Models for the Short-Time Prediction of Genetic Algorithm Results in a Vehicle Routing Problem DOI Creative Commons
Ivan Kristianto Singgih, Moses Laksono Singgih

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(7), P. 308 - 308

Published: July 14, 2024

Machine learning techniques have advanced rapidly, leading to better prediction accuracy within a short computational time. Such advancement encourages various novel applications, including in the field of operations research. This study introduces way utilize regression machine models predict objectives vehicle routing problems that are solved using genetic algorithm. Previous studies generally discussed how (1) research methods used independently generate optimized solutions and (2) values from given dataset. Some collaborations between fields as follows: input data for problems, optimize hyper-parameters models, (3) improve quality algorithms. differs types collaborative listed above. focuses on objective problem directly output data, without optimizing straightforward framework captures characteristics problem. The proposed is applied by generating algorithm then obtained values. numerical experiments show best random forest regression, generalized linear model with Poisson distribution, ridge cross-validation.

Language: Английский

Citations

2
Navigating Efficiency and Uncertainty: Risks of Relying on an At-Will Workforce in Urban Meal Delivery DOI Creative Commons
Weiwen Zhou, Elise Miller-Hooks,

Sagar Sahasrabudhe

et al.

Urban Science, Journal Year: 2024, Volume and Issue: 8(1), P. 17 - 17

Published: Feb. 22, 2024

Increasing popularity in gig employment has enabled the use of an at-will workforce self-contracted couriers to participate many service industries serving urban areas. This come play a particularly important role growing meal delivery industry. Hiring for job fulfillment can decrease costs satisfying nonstationary demand. However, workers show up work at their will and without notice. Thus, this puts performance company that relies on effective management ensure timely orders risk. investigates tradeoffs between using such place fixed fleet drivers servicing environment. A stochastic DES with tabu search heuristic embedded ejection chain approach optimal bundling, routing, assignment was developed run within rolling horizon framework replicate dynamics setting. Condition Value Risk (CVaR) is adopted measure risk late due uncertainty availability. Results from numerical case study 25 restaurants 613 arriving over 14-h period comparable terms resource utilization, efficiency failing significantly delivery. indicate enable more efficient resources, but cost higher delivery, sometimes intolerably as compared fulfill orders.

Language: Английский

Citations

1
The Development of an Optimal Operation Algorithm for Food Delivery Using Drones Considering Time Interval between Deliveries DOI Creative Commons
Young Kwan Ko,

Hyeseon Han,

Yonghui Oh

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(6), P. 230 - 230

Published: May 30, 2024

These days, many attempts are being made worldwide to use drones for food delivery. Especially in the case of food, fast delivery is required, while maintaining its temperature and taste maximum. Therefore, using suitable because they can move through air without affected by traffic congestion. In this study, purpose develop an optimal algorithm that complete customer orders shortest time drones. We have applied mathematical-model-based optimization techniques reflects given problem situation. Since capacity limited, especially small, multiple may be used deliver ordered a particular customer. What important here assigned one must arrive consecutively within short period time. This fact reflected mathematical model. numerical example, it confirmed proposed operates optimally comparing where arrival limited certain when not.

Language: Английский

Citations

1
Vehicle Routing Problem with Time Windows to Minimize Total Completion Time in Home Healthcare Systems DOI Creative Commons
Payakorn Saksuriya, Chulin Likasiri

Mathematics, Journal Year: 2023, Volume and Issue: 11(23), P. 4846 - 4846

Published: Dec. 1, 2023

We propose a vehicle routing problem with time windows (VRPTW) compatibility-matching constraints and total completion as the objective function, applications in home healthcare scheduling. Mixed integer linear programming is provided minimization function. The solution approach has two objectives, (primary objective) distance (secondary objective). A heuristic proposed comprising three phases: initializing to find an initial feasible (inserting procedure modified K-means algorithm), swapping moving local optimal routing, shooting move away from optimum. Proof of feasibility for inserting prevent unnecessary insertions. Phases 2 3 will be repeated needed ensure quality. Solving our model algorithm increases by 90.00% but reduces 25.86%. To test heuristic, we examined system 400 home-healthcare cases Chiang Mai. quickly solved problem. When minimized, some caretakers serve up twice many patients their coworkers; when workload discrepancies can increase seven-fold.

Language: Английский

Citations

3