Life-cycle analysis of last-mile parcel delivery using autonomous delivery robots

被引:5
|
作者
Lemardele, Clement [1 ,3 ]
Melo, Sofia Pinheiro [2 ]
Cerdas, Felipe [2 ]
Herrmann, Christoph [2 ]
Estrada, Miquel [3 ]
机构
[1] CARNET Future Mobil Res, Hub C Jordi Girona 29,Off 0A,Bldg Nexus 2, Barcelona 08034, Spain
[2] Tech Univ Carolo Wilhelmina Braunschweig, Inst Machine Tools & Prod Technol IWF, Chair Sustainable Mfg & Life Cycle Engn, Langer Kamp 19b, D-38106 Braunschweig, Germany
[3] Univ Politecn Cataluna, Barcelona Tech, Dept Civil & Environm Engn, Civil Engn Sch Barcelona, C.Jordi Girona 1-3,Bldg B1,North Campus, Barcelona 08034, Spain
关键词
Last -mile logistics; E; -commerce; Continuous approximation; Autonomous delivery robot; Life cycle analysis; URBAN AREAS;
D O I
10.1016/j.trd.2023.103842
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The acceleration of global e-commerce brings an increasing environmental burden to urban lastmile logistics. Autonomous delivery robots (ADRs) have often been considered as an attractive solution to this challenge but, to date, their environmental impact had not been fully assessed. To fill this gap, a life-cycle analysis of two-echelon and business-as-usual distribution strategies is proposed in this paper. To model ADR production, primary data from an actual prototype is used. The mathematical formulation of the use stage is done using the continuous approximation methodology. Finally, some managerial insights are obtained. Two-echelon operations would generate between 60 and 130 gCO2-eq per parcel delivery depending on the considered operation scenario. The ADR fleet production and renewal are the biggest contributors to this total global warming potential (GWP). As a consequence, the three main leverages to decrease the GWP of an ADR-based two-echelon delivery scheme are an improvement of the ADR production processes, the maximization of the robot lifespan (both for mechanical parts and battery), and the optimization of delivery operations to minimize the robot fleet size.
引用
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页数:24
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