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Efficiency improvement of Amazon’s logistic services using outline and simulation tools

Marco Fabio De Souza Coelho

Efficiency improvement of Amazon’s logistic services using outline and simulation tools.

Rel. Guido Perboli. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024

Abstract:

Tool that enables an end-to-end analysis of last mile costs, evaluating how they change overtime for both Amazon Logistic and 3Ps and identifying root causes for such changes at the most granular level (i.e., lane/package volume band). The tool should provide as well a simulation feature to analyze how projects re-shaping our costs impact AMZL Attainment, in support of our decision-making and approval processes.

Relators: Guido Perboli
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 71
Additional Information: Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Data Science And Engineering
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: AMAZON ITALIA TRANSPORT SRL
URI: http://webthesis.biblio.polito.it/id/eprint/30873
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