A Study on the Integrations of Products and Manufacturing Engineering Using Sensors and IoT - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

A Study on the Integrations of Products and Manufacturing Engineering Using Sensors and IoT

Sang Do Noh
  • Fonction : Auteur
  • PersonId : 997831

Résumé

In recent years, studies on smart manufacturing using ICT have increased significantly, and much attention has been paid to CPSs, IoT, sensors, industrial data analytics and artificial intelligence as core technologies. In particular, CPSs are one of the core technical elements in smart manufacturing, and a variety of studies on CPSs are underway. Accordingly, a large number of technical developments and applications related to intelligent and autonomous facilities, the prediction of factory operation, machinery factories and quality issues and proactive responses have been made. The new paradigm in smart manufacturing can be defined as customisation, connectivity and collaboration. The goal of smart manufacturing is to perform right decision making autonomously by connecting intelligent design, the efficient manufacture of customized products in accordance with the analysis of market and customer demand, sales, the user’s use and the service sector. The paper presents the concept, framework, configuration and implementation method of a CPS that is performed intelligently based on the IoT, smart sensors and industrial data analytics from manufacturing preparation and execution.
Fichier principal
Vignette du fichier
472851_1_En_46_Chapter.pdf (2.16 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02177855 , version 1 (09-07-2019)

Licence

Paternité

Identifiants

Citer

Dahye Hwang, Sang Do Noh. A Study on the Integrations of Products and Manufacturing Engineering Using Sensors and IoT. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2018, Seoul, South Korea. pp.370-377, ⟨10.1007/978-3-319-99707-0_46⟩. ⟨hal-02177855⟩
54 Consultations
75 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More