This research focuses on the picking process for a customer order in the e-grocery industry. Despite the sector is recording relevant volumes within the European scenario, it is still underdeveloped in Italy and accounts for a minimal percentage of e-commerce sales. However, its growth is the most significant among the online markets. The majority of retailers are approaching this new channel through online shopping services and the number of initiatives is proliferating in recent years. The new challenges typical of e-commerce, namely speed and quality of the service, are amplified by the characteristics of e-grocery. The product range introduces complexity in terms of perishability and fragility, with a demand made by a large number of items per order. Thus, the order fulfillment process becomes more challenging. This operational complexity requires additional activities and costs for the grocers (picking and delivery) which erode the already slight margins of the traditional channel. This dissertation is aimed at introducing a logistics solution which allows to improve the performances of the current store-based picking process through the creation of a dedicated and optimized area. In particular, results show a reduction of the picking time per order (and consequently of costs) and an increase in service level.
Questa ricerca si concentra sul processo di preparazione dell’ordine cliente nel mercato della e-grocery, definito come il commercio online di alimentari freschi e di prodotti di uso quotidiano. Se nel panorama europeo questo settore fa già registrare volumi considerevoli, in Italia incide solo per una minima percentuale del mercato e-commerce, nonostante la sua crescita sia la più alta tra quelle registrate nei comparti merceologici online. Gran parte dei retailer si sta affacciando a questo nuovo canale attraverso servizi di spesa online e il numero di iniziative sta proliferando negli ultimi anni. Le nuove sfide introdotte dall’e-commerce, tipicamente velocità e qualità del servizio, sono amplificate dalle caratteristiche della e-grocery. La gamma di prodotti offerti introduce complessità in termini di deperibilità e fragilità, con una domanda di un elevato numero di pezzi per ordine che rendono laborioso il processo di preparazione dell’ordine. Questa complessità operativa richiede attività e costi aggiuntivi per i retailer (preparazione e consegna) che erodono i margini già minimi del canale tradizionale. La tesi è volta ad introdurre una soluzione logistica che permetta di migliorare le performance degli attuali processi di store-based picking attraverso la creazione di un’area dedicata e ottimizzata. In particolare, i risultati mostrano una riduzione del tempo di picking per ordine (e conseguentemente di costo) e un miglioramento del livello di servizio.
Optimizing store-based picking in the e-grocery : a model to assess costs and benefits
MINUTI, VALERIA;NOVAZZI, DAVIDE
2016/2017
Abstract
This research focuses on the picking process for a customer order in the e-grocery industry. Despite the sector is recording relevant volumes within the European scenario, it is still underdeveloped in Italy and accounts for a minimal percentage of e-commerce sales. However, its growth is the most significant among the online markets. The majority of retailers are approaching this new channel through online shopping services and the number of initiatives is proliferating in recent years. The new challenges typical of e-commerce, namely speed and quality of the service, are amplified by the characteristics of e-grocery. The product range introduces complexity in terms of perishability and fragility, with a demand made by a large number of items per order. Thus, the order fulfillment process becomes more challenging. This operational complexity requires additional activities and costs for the grocers (picking and delivery) which erode the already slight margins of the traditional channel. This dissertation is aimed at introducing a logistics solution which allows to improve the performances of the current store-based picking process through the creation of a dedicated and optimized area. In particular, results show a reduction of the picking time per order (and consequently of costs) and an increase in service level.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/136964