Creazione della supply chain in una startup: il caso Refuel Solutions

L'obiettivo della tesi mira a sviluppare una soluzione per la catena di fornitura di una startup. La tesi inizia con una revisione sistematica della letteratura per definire prima ciò che sono gli acquisti in generale, per poi cercare di definire teoricamente quelle che sono le migliori strategie per una startup da adottare in ambito supply chain. È importante che venga compreso il contesto aziendale dove opera un’impresa prima di progettare una soluzione che potrebbe quindi non rispecchiare a pieno il modello teorico. Viene inoltre fornito un confronto nell'approccio all'ambito tra una startup e un'impresa consolidata con la descrizione del rapporto che può nascere tra le due. Nella seconda parte della tesi viene presentato il caso reale di Refuel Solutions, inizialmente descrivendo l’azienda e il mercato in cui opera, per addentrarsi poi nelle scelte specifiche che sono state fatte per costruire la catena di fornitura e nel racconto dell’esperienza su alcuni codici di acquisto, analizzandoli nello specifico, per concludere infine con quelli che sono gli obiettivi futuri per l’azienda.

Nature-based solutions for urban heat island effect mitigation: the case study of Isla, Malta

Global population growth reflects how humans increasingly exploited Earth's resources. Urbanization develops along with anthropization. It is estimated that nearly 60% of the world's population lives in urban areas, which symbolize the denaturalized dimension of current modernity. Cities are artificial ecosystems that suffer most from environmental issues and climate change. The Urban Heat Island (UHI) effect is a common microclimatic phenomenon affecting cities, which causes considerable differences between urban and rural areas temperatures. Among the driving factors, the lack of vegetation in urban settlements can damage both humans and the environment (health diseases, heat waves caused deaths, biodiversity loss, and so on). As the world continues to urbanize, sustainable development increasingly depends on successful management of urban areas. To enhance cities’ resilience, Nature-based Solutions (NbSs), are defined as an umbrella concept that encompasses a wide range of ecosystem-based approaches and actions to climate change adaptation (CCA) and disaster risk reduction (DRR). This paper analyzes a 15-days study on air temperature trends carried out in Isla, a small locality in the Maltese archipelago, and proposes Nature-based Solutions-characterized scenarios to mitigate the Urban Heat Island effect the Mediterranean city is affected by. The results demonstrates how in some areas where vegetation is present, lower temperatures are recorded than in areas where vegetation is absent or scarce. It also appeared that in one location, the specific type of vegetation does not contribute to high temperature mitigation, whereas in another one, different environmental parameters can influence the measurements. Among the case-specific Nature-based Solutions proposed there are vertical greening (green wall, façades, ground based greening, etc.), tree lines, green canopy, and green roofs.

Fleet Management System for Search and Rescue Operations

Over one million people lost their lives in the last twenty years from natural disasters like wildfires, earthquakes and man-made disasters. In such scenarios the usage of a fleet of robots aims at the parallelization of the workload and thus increasing speed and capabilities to complete time sensitive missions. This work focuses on the development of a dynamic fleet management system, which consists in the management of multiple agents cooperating in order to accomplish tasks. We presented a Mixed Integer Programming problem for the management and planning of mission’s tasks. The problem was solved using both an exact and a heuristic approach. The latter is based on the idea of solving iteratively smaller instances of the complete problem. Alongside, a fast and efficient algorithm for estimation of travel times between tasks is proposed. Experimental results demonstrate that the proposed heuristic approach is able to generate quality solutions, within specific time limits, compared to the exact one.