This study focuses on the optimization of picking processes within the warehouse dedicated to the management of technical area materials for the Oniverse company. This warehouse has a wide range of SKUs, characterized by heterogeneity in terms of size, weight, use and material. To date, the SKUs are randomly arranged in the warehouse, a strategy that is being investigated as it is probably not suitable for the type of warehouse, which could contribute to inefficiencies during picking operations. Through detailed analysis of operational flows in a reference period of time, evaluated as a sample, the aim is therefore to optimize the arrangement of SKUs in order to increase productivity and reduce picking times. Furthermore, the work includes a comparison between the current operating method, in which each operator manages a single delivery that can last up to a month, and an alternative approach in which preliminary preparation of the picking areas is investigated. In conclusion, the feasibility of the solutions found will be evaluated in terms of resources for the company. The ultimate aim of this paper is therefore to find a solution that is not specific to the warehouse in question, but which is flexible and adaptable to realities characterized by high heterogeneity and complexity.
Il presente studio si concentra sull'ottimizzazione dei processi di picking all'interno del magazzino dedicato alla gestione dei materiali di area tecnica per l’azienda Oniverse. Questo magazzino ospita una vasta gamma di SKU, caratterizzati da diversità in termini di dimensioni, peso, utilizzo e materiale. Ad oggi, le SKU sono disposte casualmente nel magazzino, strategia che viene indagata poiché probabilmente non idonea alla tipologia di magazzino, il che potrebbe contribuire a inefficienze durante le operazioni di picking. Tramite analisi dettagliata dei flussi operativi in un periodo di tempo di riferimento, valutato come campione, si intende quindi ottimizzare la disposizione delle SKU al fine di aumentare la produttività e ridurre i tempi di prelievo. Ancora, il lavoro include un confronto tra l'attuale metodo operativo, in cui ogni operatore gestisce una singola consegna che può protrarsi anche per un mese, e un approccio alternativo per il quale è prevista una preparazione preliminare delle zone di picking. In conclusione, si andrà a valutare la fattibilità delle soluzioni trovate, in termini di risorse per l’azienda. Il fine ultimo del presente elaborato è quindi trovare una soluzione che non sia specifica per il magazzino in questione, ma che sia flessibile e adattabile a realtà caratterizzate da alta eterogeneità e complessità.
Ottimizzazione dell'attività di picking in un magazzino eterogeneo: Studio e applicazioni al caso Oniverse
MILANI, FRANCESCA
2023/2024
Abstract
This study focuses on the optimization of picking processes within the warehouse dedicated to the management of technical area materials for the Oniverse company. This warehouse has a wide range of SKUs, characterized by heterogeneity in terms of size, weight, use and material. To date, the SKUs are randomly arranged in the warehouse, a strategy that is being investigated as it is probably not suitable for the type of warehouse, which could contribute to inefficiencies during picking operations. Through detailed analysis of operational flows in a reference period of time, evaluated as a sample, the aim is therefore to optimize the arrangement of SKUs in order to increase productivity and reduce picking times. Furthermore, the work includes a comparison between the current operating method, in which each operator manages a single delivery that can last up to a month, and an alternative approach in which preliminary preparation of the picking areas is investigated. In conclusion, the feasibility of the solutions found will be evaluated in terms of resources for the company. The ultimate aim of this paper is therefore to find a solution that is not specific to the warehouse in question, but which is flexible and adaptable to realities characterized by high heterogeneity and complexity.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/74719