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Projecte llegit

Títol: Computation offloading enabling warehouse operation automation

Estudiants que han llegit aquest projecte:

Director/a: SPADARO, SALVATORE

Departament: TSC

Títol: Computation offloading enabling warehouse operation automation

Data inici oferta: 05-02-2026     Data finalització oferta: 05-10-2026


Estudis d'assignació del projecte:
    MU EM CODAS 1
    MU EM CODAS 2
    MU MASTEAM 2015
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Warehouse automation, digitalization, computational offloading, centralized control
 
Descripció del contingut i pla d'activitats:
The objective of this thesis is, firstly, to analyze process management in a logistics center. Then, a centralized process management system will be designed, determining the computational capacity required for its efficient and reliable operation.
 
Overview (resum en anglès):
The digitalization of industry, together with the growing demand for e-commerce, is transforming the way the warehouses operate. The introduction of autonomous robots has made it possible to automate an increasing number of processes, improve productivity and reduce human intervention. However, this evolution also brings new challenges, such as a greater load on the network, increased processing capacity and the need for increasingly deterministic system operation. This continuous evolution requires, on the one hand, more complex robots and, on the other, a higher-capacity communication network capable of guaranteeing deterministic performance. This requires a redesign of the remote and automated management of robots, while aiming to reduce operating costs including energy consumption.
In this context, the thesis proposes a solution and therefore analyzes the main current emerging technologies used in automation and digitalization environments, with the aim of designing an architecture that responds to current needs and provides greater efficiency and resilience. As a result, an infrastructure based on Computation Offloading and a communication architecture adapted to industrial environments are proposed.
In particular, this thesis proposes an architecture based on Edge Computing that, in addition to improving performance, makes it possible to create a cooperative environment and a broader view of the warehouse. Throughout the thesis, an end-to-end proposal is developed, ranging from requirements analysis to architecture design and the sizing of the necessary infrastructure. Different deployment scenarios are evaluated, and the most suitable solution is selected for each environment. The result is an integrated technological proposal that combines mobile robotics, industrial communication technologies, resilient infrastructure, as well as distributed and centralized management.

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