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Investigating multi-parcel crowdsourcing logistics for B2C e-commerce last-mile deliveries
International Journal of Logistics Research and Applications ( IF 5.992 ) Pub Date : 2021-02-02 , DOI: 10.1080/13675567.2021.1882411
Arianna Seghezzi 1 , Riccardo Mangiaracina 1
Affiliation  

ABSTRACT

B2C e-commerce last-mile delivery (LMD) is a critical process, considering both efficiency and effectiveness: it implies high costs, and online customers have stringent service level expectations. One promising LMD solution based on crowdsourcing logistics (CL) is the ‘multi-parcel’ paradigm (each rider accomplishes different deliveries in the same tour). This work analyses the impact of multi-parcel CL on delivery costs compared to traditional by-van LMD. First, it develops an analytical model that –generating customers’ demand and assigning deliveries to riders– computes both CL and traditional LMD costs. Second, the model is applied to a case in Milan, Italy. Third, sensitivity analyses are run on key variables/parameters. Multi-parcel CL entails significant benefits compared to traditional LMD (about 11% saving). On the academic side, this work contributes to the literature, proposing a model that investigates the performances of multi-parcel CL. On the managerial side, it may support practitioners in implementing this innovative delivery solution.



中文翻译:

调查B2C电子商务最后一英里交付的多包裹众包物流

摘要

B2C电子商务的最后一英里交付(LMD)是一个至关重要的过程,同时考虑了效率和有效性:这意味着高成本,并且在线客户对服务水平的要求很高。一种基于众包物流(CL)的有前途的LMD解决方案是“多包裹”范式(每个骑手在同一行程中完成不同的交付)。与传统的货车LMD相比,这项工作分析了多包裹CL对交付成本的影响。首先,它开发了一个分析模型-生成客户的需求并为骑手分配交货-计算CL和传统LMD成本。其次,该模型应用于意大利米兰的案件。第三,对关键变量/参数进行敏感性分析。与传统的LMD相比,多包裹CL具有明显的优势(节省约11%)。在学术方面,这项工作为文献做出了贡献,提出了一个研究多包裹CL性能的模型。在管理方面,它可以支持从业人员实施这种创新的交付解决方案。

更新日期:2021-02-09
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