The case study examines the development of a digital tool that optimizes the visualization and analysis of the outputs of the maximum capacity planning cycles for the Amazon Logistics' European network of Last Mile warehouses. The implementation of the tool has enabled centralized and more efficient management of the abundant data available, facilitating access and decision-making for stakeholders. As opposed to the past, when data were accessed only through reprocessing and analysis of variables dispersed across numerous spreadsheets, now an integrated dashboard is developed on Amazon QuickSight, a business intelligence and data visualization cloud service from Amazon Web Services. QuickSight features an intuitive user interface, allowing stakeholders from different departments to perform their analysis more efficiently. The dashboard is filled out through the deployment of a unified datacenter that is the reference in Amazon's Logistics department for planned maximum capacity data. The dashboard contains graphical elements that aggregate data, which are automatically updated following the publication of a new plan. It allows instant drill down to the highest level of detail; thus, the individual node belonging to the European network of Last Mile warehouses, and it enables immediate comparisons between the attributes of different plans. In the highly competitive and dynamic environment in which Amazon operates, digital tools of this kind enable significant progress toward improved decision-making agility and operational efficiency. Digital technologies are essential in this context, as they enable radical transformations in processes and improve synchronization and communication, as well as productivity and efficiency within the organization.
Il caso di studio prende in esame lo sviluppo di uno strumento digitale che ottimizza la visualizzazione e l'analisi dei risultati dei cicli di pianificazione della capacità massima per la rete europea di magazzini Last Mile di Amazon Logistics. L’implementazione di tale strumento ha permesso una gestione centralizzata e più efficiente dei numerosi dati a disposizione, facilitando l'accesso e il processo decisionale degli stakeholder. A differenza del passato, quando l'accesso ai dati avveniva solo attraverso la rielaborazione e l'analisi di variabili disperse in numerosi fogli di calcolo, ora viene sviluppata una dashboard integrata su Amazon QuickSight, un servizio cloud di business intelligence e visualizzazione dati sviluppato da Amazon Web Services. QuickSight è dotato di una interfaccia utente intuitiva, che consente agli stakeholder di diversi reparti di eseguire le loro analisi in modo più efficiente. Il cruscotto viene compilato attraverso l'implementazione di un datacenter unificato che è il riferimento in Amazon Logistics per i dati sulla capacità massima pianificata. Il cruscotto contiene elementi grafici che aggregano i dati che vengono aggiornati automaticamente dopo la pubblicazione di un nuovo piano. Permette di scendere immediatamente al massimo livello di dettaglio, ovvero al singolo nodo appartenente alla rete europea di magazzini Last Mile, e di confrontare immediatamente gli attributi dei diversi piani. In un contesto altamente dinamico e competitivo come quello in cui opera Amazon, strumenti digitali di questo tipo consentono di compiere significativi progressi verso una maggiore agilità decisionale ed efficienza operativa. Le tecnologie digitali sono fondamentali in questo contesto, poiché consentono trasformazioni radicali dei processi e migliorano la sincronizzazione e la comunicazione, nonché la produttività e l’efficienza all’interno dell’organizzazione.
Improvement of AMZL digital tools for lm peak capacity planning
GALIMBERTI, PIETRO
2022/2023
Abstract
The case study examines the development of a digital tool that optimizes the visualization and analysis of the outputs of the maximum capacity planning cycles for the Amazon Logistics' European network of Last Mile warehouses. The implementation of the tool has enabled centralized and more efficient management of the abundant data available, facilitating access and decision-making for stakeholders. As opposed to the past, when data were accessed only through reprocessing and analysis of variables dispersed across numerous spreadsheets, now an integrated dashboard is developed on Amazon QuickSight, a business intelligence and data visualization cloud service from Amazon Web Services. QuickSight features an intuitive user interface, allowing stakeholders from different departments to perform their analysis more efficiently. The dashboard is filled out through the deployment of a unified datacenter that is the reference in Amazon's Logistics department for planned maximum capacity data. The dashboard contains graphical elements that aggregate data, which are automatically updated following the publication of a new plan. It allows instant drill down to the highest level of detail; thus, the individual node belonging to the European network of Last Mile warehouses, and it enables immediate comparisons between the attributes of different plans. In the highly competitive and dynamic environment in which Amazon operates, digital tools of this kind enable significant progress toward improved decision-making agility and operational efficiency. Digital technologies are essential in this context, as they enable radical transformations in processes and improve synchronization and communication, as well as productivity and efficiency within the organization.| File | Dimensione | Formato | |
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2023_12_Galimberti.pdf
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Descrizione: Testo della tesi
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https://hdl.handle.net/10589/215743