A proposal for the management of data driven services in smart manufacturing scenarios

• Autores: Miguel Niño Bartolome
• Directores de la Tesis: José Miguel Blanco Arbe (dir. tes.) , Arantza Illarramendi Echave (dir. tes.)
• Lectura: En la Universidad del País Vasco - Euskal Herriko Unibertsitatea ( España ) en 2017
• Idioma: inglés
• Tribunal Calificador de la Tesis: José Miguel Toro Bonilla (presid.) , Alfredo Goñi Sarriguren (secret.) , Karsten Tolle (voc.) , Arturo Jaime Elizondo (voc.) , Nieves R. Brisaboa (voc.)
• Enlaces
  • Tesis en acceso abierto en: ADDI
• Resumen

  • This research work focuses on Industrial Big Data Services (IBDS) Providers, a specialization of ITServices Providers. IBDS Providers constitute a fundamental agent in Smart Manufacturing scenarios,given the wide spectrum of complex technological challenges involved in the adoption of the requireddata-related IT by manufacturers aiming at shifting their businesses towards Smart Manufacturing. Theoverarching goal of this research work is to provide contributions that (a) help the business sector ofIBDS Providers to manage their collaboration projects with manufacturing partners in order to deploy therequired data-driven services in Smart Manufacturing scenarios, and (b) adapt and extend existingconceptual, methodological, and technological proposals in order to include those practical elements thatfacilitate their use in business contexts. The main contributions of this dissertation focus on three specificchallenges related to the early stages of the data lifecycle, i.e. those stages that ensure the availability ofnew data to exploit, coming from monitored manufacturing facilities: (1) Devising a more efficient datastorage strategy that reduces the costs of the cloud infrastructure required by an IBDS Provider tocentralize and accumulate the massive-scale amounts of data from the supervised manufacturingfacilities; (2) Designing the required architecture for the data capturing and integration infrastructure thatsustains an IBDS Provider's platform; (3) The collaborative design process with partnering manufacturersof the required data-driven services for a specific manufacturing sector.