Grau en Enginyeria Informàtica i Administració i Direcció d'Empreses (Doble Grau)
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Treballs finals del doble grau en Enginyeria Informàtica i Administració i Direcció de l'Escola Politècnica Superior [Més informació].
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- ItemOpen AccessOrdr: Turning an Idea into an Enterprise - Development of a Mobile Application and its Business Plan for Small Businesses(2025-06) Latorre Godia, RicardAquest treball presenta un pla d’empresa per a ordr, una aplicació mòbil que té com a missió crear una comunitat entre clients i propietaris de petites i mitjanes empreses. L’objectiu és facilitar als usuaris la connexió ràpida, fàcil i segura amb altres clients i serveis propers, alhora que proporciona als negocis una eina de digitalització accessible, amb un cost econòmic i laboral reduït. D’aquesta manera, neix un producte amb un clar avantatge competitiu, que dona suport a ambdues parts del mercat i es desmarca de la competència existent.
- ItemOpen AccessFormGenerator. Comprehensive methodology for automating dynamic forms: from the Django model to the functional form(2025-06) Egido González, Hector delThe generation of dynamic forms within modern software development frameworks of decoupled architecture faces substantial difficulties because backend data models exist independently from frontend interface specifications. The current solutions have particular strengths but fall short in delivering complete automated solutions that preserve semantic consistency between technological layers with full customization options. FormGenerator is presented as a complete method for automated dynamic form creation that generates a structured process linking Django models to operational user interfaces. The methodology solves key limitations in current solutions through an automated transformation process that safeguards semantic value and removes the need for manual backend to frontend synchronization. The main advancement occurs through the creation of a smart transformation bridge which turns Django model definitions into JSON Schema specifications before using these specifications to generate interactive forms through a dedicated JavaScript library. The transformation process deals with difficult cases such as polymorphic relationships and geospatial fields and inheritance patterns and cross-field validations in a completely automated way. The main technical advancements include: Django model metadata detection and polymorphic pattern resolution with complex relationship handling, business logic consistency throughout the transformation process, a real-time dual-layer validation system which runs frontend and backend validation without duplicate code, geospatial data support with automatic Leaflet.js integration and a full visual customization framework which maintains automation while allowing brand-specific styling. The validation outcomes prove: The development time reduces to 3 times faster than traditional methods, the schema generation time is below one millisecond, the system meets all requirements of JSON Schema Draft 7, the WCAG 2.1 accessibility compliance rate reaches 93.8% and the system maintains linear scalability without any performance reduction. The methodology passed validation tests in both development environments and real agricultural domain applications proving its readiness for production use and practical implementation. The methodology creates a new standard for automated form generation in separated system architecture which delivers measurable advantages through fast development time and error-free synchronization and better maintainability with full domain flexibility requirements.
- ItemOpen AccessData Spaces in the Agri-Food Sector: A Use Case for Environmental Certification in Pig Farming(2025-06) Colás Torres, ClaudiaData spaces are gaining traction as a new paradigm for sovereign, interoperable and trusted data sharing. Driven by the growing recognition of data as a key asset, they address the need for cross-sector collaboration while preserving participants’ control over their data, offering a federated alternative to centralized data platforms. This degree thesis begins with a theoretical analysis of what data spaces are, and what they are not, highlighting their main differentiators from traditional data platforms or open data initiatives. Afterwards, it explores the implementation of a concrete use case as a foundation for building a data space demonstrator in the agri-food sector, AgrospAI. The developed use case, titled Monitoring and Certification of Environmental Sustainability in Pig Farming, serves as a practical example of how data spaces can generate concrete value through data-driven collaboration between stakeholders. This implementation follows the methodological guidelines provided by the Oficina del Dato, the Feasibility Assessment Guide for Use Cases and the Use Case Design Guide, which provide a structured approach to design, assess and operationalize use cases in data spaces. Finally, to translate the implemented use case into a working model, a simple algorithmic prototype is developed. It grounds the conceptual design in a tangible and executable solution that can evolve towards future integration within AgrospAI.
- ItemOpen AccessImplementation of a Stock Management System with Predictive Machine Learning(2025-06) Arenas Romero, JordiThis project consists of the design and implementation of a stock management solution for a company in the automotive sector. It leverages historical sales data and operational information to forecast sales of light vehicle tires and recommend optimal stock levels with an interactive dashboard.
- ItemOpen AccessImplementation of Microsoft Dynamics 365 Business Central in a Livestock Farming Company(2025-06) Viladot Farrús, RocThis “TFG” will be developed with the help and support of the technology consulting company IFR, a Microsoft partner and specialist in the implementation of ERP software. Within IFR, I am part of the consulting department responsible for maintaining contact with the clients and ensuring that the final solution offered aligns as closely as possible with their initial expectations and vision, while staying close to the standard version of the product and within realistic demands. This project will explain the implementation process of an ERP system at Pigs Farm S.L., a leading company in the pig farming sector. To ensure company confidentiality and protect its data, the fictitious name, Pigs Farm, will be used for data protection purposes, as no NDA1 has been signed. The purpose of this project is to explain and show the entire ERP implementation process and methodology carried out by IFR, describing the phases of the project, the challenges faced, and the solutions adopted. It will also cover key aspects such as the company's presentation, its history and evolution, its impact on the territory, and a detailed market analysis, including its significance, scale, and different levels (Catalan, Spanish, European, and global). Additionally, among other aspects, the project will explore the motivation for the change, its challenges, benefits, and the methodology applied. To finally conclude with some examples of the implementation and what should be done after Go live.
