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Lead time optimisation by means of multivariate analysis

Acheraf Salim El Khbazi

Lead time optimisation by means of multivariate analysis.

Rel. Maurizio Schenone, Paolo Trucco. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Della Produzione Industriale E Dell'Innovazione Tecnologica, 2020

Abstract:

As proved by existing scientific literature, lead time plays a fundamental role in companies’ logistics performance with a direct impact on inventories. The globalization trend that has been spreading over the last years has led to more geographically dispersed and complex Supply Chains. Direct implications are reduced costs on materials and production on one side, longer lead times and higher inventory costs on the other one. The aim of the thesis is exploring the applicability of Performance Pricing, a top-down approach to benchmark the price of a material group, to supplier lead times optimization. A real case application was developed at Hilti Corporation covering different products families and procured items. The proposed model enables Hilti and other companies to identify critical drivers of supplier lead time and optimize it to minimize inventory costs.

Relatori: Maurizio Schenone, Paolo Trucco
Anno accademico: 2020/21
Tipo di pubblicazione: Elettronica
Numero di pagine: 85
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Della Produzione Industriale E Dell'Innovazione Tecnologica
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-33 - INGEGNERIA MECCANICA
Ente in cotutela: Hilti Aktiengesellschaft (LIECHTENSTEIN)
Aziende collaboratrici: Hilti AG
URI: http://webthesis.biblio.polito.it/id/eprint/16135
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