Integrating crowd-shipping into last-mile delivery: A two-stage stochastic optimization approach

IF 8.8 1区 工程技术 Q1 ECONOMICS
Shixuan Tang , Wentao Huang , Sisi Jian
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引用次数: 0

Abstract

Crowd-shipping has emerged as a cost-effective solution to meet the growing demand for urban last-mile delivery. This paper examines the integration of partial crowd-shipping into traditional parcel delivery from the perspective of a delivery company. We explicitly consider both crowd-shipping supply and parcel demand uncertainties, and formulate a parcel delivery problem with crowd-shipping in stochastic programming (PDPCS-SP) that aims to minimize the expected total operational costs. Given the computational complexity of the problem, we develop a heuristic algorithm based on an adaptive large neighborhood search (ALNS) to efficiently solve large-scale instances. Extensive numerical experiments demonstrate the effectiveness and efficiency of the proposed PDPCS-SP model and solution approach, highlighting the potential to enhance the sustainability and economic viability of last-mile delivery operations.
将众运整合到最后一英里配送:两阶段随机优化方法
为了满足日益增长的城市“最后一英里”快递需求,“群邮”已经成为一种经济有效的解决方案。本文从快递公司的角度考察了部分众邮融入传统包裹配送的问题。我们明确地考虑了人群运输供给和包裹需求的不确定性,并在随机规划(PDPCS-SP)中提出了一个以期望总运营成本最小为目标的人群运输包裹配送问题。考虑到问题的计算复杂性,我们开发了一种基于自适应大邻域搜索(ALNS)的启发式算法来有效地解决大规模实例。大量的数值实验证明了所提出的PDPCS-SP模型和解决方案的有效性和效率,突出了提高最后一英里交付运营的可持续性和经济可行性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
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