Quality management has existed since the earliest days of production, as high-quality goods were associated with higher social status. Over time, the way we produce, distribute, and evaluate goods has evolved significantly. The Industrial Revolution introduced mass production, increasing the demand to identify and eliminate defective items. This led to the foundation of Total Quality Management (TQM), which emphasizes achieving quality standards in every process and meeting customer needs promptly and accurately. TQM views an enterprise’s quality as a combination of its processes, technologies, and people, with checks in place to ensure lasting quality. As technology advances, so do the methods for creating value. Industry 4.0, or the fourth industrial revolution, is marked by the digital transformation of manufacturing. It digitizes all physical assets to build interconnected systems and e-value chains. Industry 4.0 includes the digitization of production systems, tools, processes, and environments (Baran et al., 2022). This study aims to explore how digitized quality management systems (DQMS) improve efficiency and quality in modern industries. Industries today are transitioning into smart factories—intelligent production environments that integrate communication, computation, and control to meet industrial needs. These systems use constant data streams to learn and adapt to changing conditions. Smart factories feature four intelligent aspects: Self-organizing systems – Sensors on equipment can learn, store data, and adapt to environmental changes. Real-time Internet connectivity – Improves device coordination and flexible reconfiguration of production modules. AI and robotic vision integration – Enhances factory management through AI-powered decision-making, allowing human-machine collaboration and cloud-based multi-robot systems for managing production and supply chains. VR integration – Uses simulation, animation, and multimedia to create immersive virtual production environments, enhancing training and planning. Smart factories combine automation with IT systems to process heterogeneous data from equipment, materials, and quality sources. This supports improvements in logistics, comfort, and efficiency. They also collaborate with certified service providers, train staff, and adopt modern management and technology standards. Incorporating a digitized quality management system within smart factories leverages their intelligent features and data-handling capabilities, leading to greater efficiency and competitiveness in modern production environments.
La gestione della qualità esiste fin dai primi tempi della produzione, poiché i beni di alta qualità erano associati a uno status sociale elevato. Nel tempo, il modo in cui produciamo, distribuiamo e valutiamo i beni è cambiato radicalmente. La Rivoluzione Industriale ha introdotto la produzione di massa, aumentando la necessità di identificare ed eliminare i difetti. Questo ha portato alla nascita del Total Quality Management (TQM), che mira a garantire standard qualitativi in ogni processo e a soddisfare le richieste dei clienti in modo rapido e preciso. Il TQM considera la qualità come un insieme di processi, tecnologie e persone, con controlli per assicurare una qualità duratura. Con l'avanzare della tecnologia, anche i metodi di creazione del valore si evolvono. L'Industria 4.0, o quarta rivoluzione industriale, rappresenta la digitalizzazione del settore manifatturiero. Tutti gli asset fisici vengono digitalizzati per costruire sistemi interconnessi e catene di valore digitali (Baran et al., 2022). Questo studio intende analizzare come i sistemi digitalizzati di gestione della qualità (DQMS) migliorino l'efficienza e la qualità nelle industrie moderne. Le industrie stanno diventando "smart factory": ambienti produttivi intelligenti che integrano comunicazione, calcolo e controllo per rispondere alle esigenze industriali. Questi sistemi utilizzano flussi di dati costanti per apprendere e adattarsi. Le smart factory includono quattro aspetti intelligenti: Sistemi auto-organizzanti – Sensori sugli impianti apprendono, memorizzano dati e si adattano ai cambiamenti ambientali. Connettività Internet in tempo reale – Migliora il coordinamento tra dispositivi e la riconfigurazione flessibile dei moduli di produzione. Integrazione di AI e visione robotica – Migliora la gestione grazie all’intelligenza artificiale, favorendo la collaborazione uomo-macchina e l’uso di robot controllati dal cloud per la produzione e la logistica. Integrazione della realtà virtuale (VR) – Usa simulazioni e multimedia per creare ambienti virtuali immersivi per la formazione e la pianificazione. Le smart factory combinano automazione e IT per gestire dati eterogenei provenienti da impianti, materiali e qualità. Ciò migliora logistica, comfort ed efficienza. Collaborano anche con fornitori certificati, formano il personale e adottano standard tecnologici e gestionali moderni. Integrare un sistema digitalizzato di gestione della qualità in una smart factory consente di sfruttare le sue funzionalità intelligenti, portando a una maggiore efficienza e competitività nei moderni ambienti produttivi.
IMPLEMENTAZIONE DI UN SISTEMA DIGITALIZZATO DI GESTIONE DELLA QUALITÀ NELLE INDUSTRIE MODERNE: UNO STUDIO CONCETTUALE
SHAJAN, THOMAS
2024/2025
Abstract
Quality management has existed since the earliest days of production, as high-quality goods were associated with higher social status. Over time, the way we produce, distribute, and evaluate goods has evolved significantly. The Industrial Revolution introduced mass production, increasing the demand to identify and eliminate defective items. This led to the foundation of Total Quality Management (TQM), which emphasizes achieving quality standards in every process and meeting customer needs promptly and accurately. TQM views an enterprise’s quality as a combination of its processes, technologies, and people, with checks in place to ensure lasting quality. As technology advances, so do the methods for creating value. Industry 4.0, or the fourth industrial revolution, is marked by the digital transformation of manufacturing. It digitizes all physical assets to build interconnected systems and e-value chains. Industry 4.0 includes the digitization of production systems, tools, processes, and environments (Baran et al., 2022). This study aims to explore how digitized quality management systems (DQMS) improve efficiency and quality in modern industries. Industries today are transitioning into smart factories—intelligent production environments that integrate communication, computation, and control to meet industrial needs. These systems use constant data streams to learn and adapt to changing conditions. Smart factories feature four intelligent aspects: Self-organizing systems – Sensors on equipment can learn, store data, and adapt to environmental changes. Real-time Internet connectivity – Improves device coordination and flexible reconfiguration of production modules. AI and robotic vision integration – Enhances factory management through AI-powered decision-making, allowing human-machine collaboration and cloud-based multi-robot systems for managing production and supply chains. VR integration – Uses simulation, animation, and multimedia to create immersive virtual production environments, enhancing training and planning. Smart factories combine automation with IT systems to process heterogeneous data from equipment, materials, and quality sources. This supports improvements in logistics, comfort, and efficiency. They also collaborate with certified service providers, train staff, and adopt modern management and technology standards. Incorporating a digitized quality management system within smart factories leverages their intelligent features and data-handling capabilities, leading to greater efficiency and competitiveness in modern production environments.| File | Dimensione | Formato | |
|---|---|---|---|
|
THESIS - THOMAS SHAJAN - 490557.pdf
accesso aperto
Dimensione
1.89 MB
Formato
Adobe PDF
|
1.89 MB | Adobe PDF | Visualizza/Apri |
È consentito all'utente scaricare e condividere i documenti disponibili a testo pieno in UNITESI UNIPV nel rispetto della licenza Creative Commons del tipo CC BY NC ND.
Per maggiori informazioni e per verifiche sull'eventuale disponibilità del file scrivere a: unitesi@unipv.it.
https://hdl.handle.net/20.500.14239/33551