Approximate dynamic programming for pickup and delivery problem with crowd-shipping

IF 5.8 1区工程技术 Q1 ECONOMICS

Transportation Research Part B-Methodological Pub Date : 2024-07-29 DOI:10.1016/j.trb.2024.103027

Kianoush Mousavi , Merve Bodur , Mucahit Cevik , Matthew J. Roorda

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引用次数: 0

Abstract

We study a variant of dynamic pickup and delivery crowd-shipping operation for delivering online orders within a few hours from a brick-and-mortar store. This crowd-shipping operation is subject to a high degree of uncertainty due to the stochastic arrival of online orders and crowd-shippers that impose several challenges for efficient matching of orders to crowd-shippers. We formulate the problem as a Markov decision process and develop an Approximate Dynamic Programming (ADP) policy using value function approximation for obtaining a highly scalable and real-time matching strategy while considering temporal and spatial uncertainty in arrivals of online orders and crowd-shippers. We incorporate several algorithmic enhancements to the ADP algorithm, which significantly improve the convergence. We compare the ADP policy with an optimization-based myopic policy using various performance measures. Our numerical analysis with varying parameter settings shows that ADP policies can lead to up to 25.2% cost savings and a 9.8% increase in the number of served orders. Overall, we find that our proposed framework can guide crowd-shipping platforms for efficient real-time matching decisions and enhance the platform delivery capacity.

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有人群运输的取货和送货问题的近似动态程序设计

我们研究了一种动态取货和送货众包操作的变体，用于在几小时内从实体店交付在线订单。由于在线订单和人群配送员的随机到达，这种人群配送操作具有高度的不确定性，这给高效匹配订单和人群配送员带来了诸多挑战。我们将这一问题表述为马尔可夫决策过程，并开发了一种近似动态编程（ADP）策略，该策略采用值函数近似法，可在考虑在线订单和人群发货人到达的时间和空间不确定性的同时，获得高度可扩展的实时匹配策略。我们对 ADP 算法进行了多项算法改进，显著提高了收敛性。我们使用各种性能指标对 ADP 策略和基于优化的近视策略进行了比较。我们在不同参数设置下进行的数值分析表明，ADP 政策可节省高达 25.2% 的成本，并使服务订单数量增加 9.8%。总之，我们发现我们提出的框架可以指导众包平台做出高效的实时匹配决策，并提高平台的交付能力。

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

Transportation Research Part B-Methodological 工程技术-工程：土木

CiteScore

12.40

自引率

8.80%

发文量

143

审稿时长

14.1 weeks

期刊介绍： Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.