logo SBA

ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-10172020-133612


Tipo di tesi
Tesi di laurea magistrale
Autore
TONARELLI, DARIO
Indirizzo email
d.tonarelli@studenti.unipi.it, dariok13@gmail.com
URN
etd-10172020-133612
Titolo
"Fast consuming products" in Procter and Gamble: definition of an algorithm for estimation and monitoring of their shelf avaiability ?
Dipartimento
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA GESTIONALE
Relatori
relatore Prof. Dulmin, Riccardo
Parole chiave
  • on shelf avaiability
  • fast consuming product
Data inizio appello
25/11/2020
Consultabilità
Non consultabile
Data di rilascio
25/11/2060
Riassunto
In the market of fast consuming products the presence of the product in the shelf is one of the main factors to stay competitive and build or maintain strong the loyalty of the clients to the brand.
The absence of the product, caused by an out of stock, bring directly to a loss of sale and could be a cause of loss of the loyalty of the clients to the brand or to the retailer.
For this reason, in the this high competitive market, the measure of On shelf Avaiability (OSA) has always more importance a as index of performance of the product supply.
This pilot project has the purpose to estimate this index for the products sold in a determinate retailer, giving the opportunity to monitoring it and detect easily issues in the supply chain.
Since now the index OSA was calculated by the different retailers using the inventory of data for identify the day with zero stock, anyway this system could be implemented only in the few cases in which there is in each point of sales and across all the supply chain of the retailer a sophisticated informatic system.
In this specific application in Procter and Gamble, the scope is to be able to estimate with a good level of precision the index OSA for all the products sold in the retailer's points of sales around Spain, without inventory data but using only the POS data.
The POS data, differently to the inventory data, is already managed by the big part of the retailers, and could be obtained by them with a no so complex informatic system a definitively lower price.
So, this new way to estimate the OSA could be easily implemented widely by the retailers, with a lower time of set up and definitively lower cost.
File