The COVID-19 crisis resulted in a sudden and dramatic change in how manufacturing environments operate. Safe distancing among workers plays a pivotal role in preventing the spread of viral diseases such as COVID-19. Although general purpose commercial products already help prevention, enforcing ad hoc distancing without manufacturing production optimization can significantly decrease the production performance throughput. In this paper, we highlight the intrinsic trade-off of two concepts: worker health preservation versus factory productivity. We first motivate the importance of safe distancing in manufacturing shop-floors by analyzing a worker mobility dataset in a manual assembly scenario, given the safe distancing public health recommendations. Then, we suggest the quantification of the relation of the two concepts through exploiting pervasive computing technologies. Furthermore, we provide an insightful recommendation on the need of a holistic methodological framework, specifically tailored for addressing the Industry 4.0 requirements, as well as the worker necessities.

Pervasive Computing for Safe Distancing and Production Optimization in Manufacturing: Challenges and Opportunities

T P Raptis;W Terkaj;A Passarella;M Conti
2021

Abstract

The COVID-19 crisis resulted in a sudden and dramatic change in how manufacturing environments operate. Safe distancing among workers plays a pivotal role in preventing the spread of viral diseases such as COVID-19. Although general purpose commercial products already help prevention, enforcing ad hoc distancing without manufacturing production optimization can significantly decrease the production performance throughput. In this paper, we highlight the intrinsic trade-off of two concepts: worker health preservation versus factory productivity. We first motivate the importance of safe distancing in manufacturing shop-floors by analyzing a worker mobility dataset in a manual assembly scenario, given the safe distancing public health recommendations. Then, we suggest the quantification of the relation of the two concepts through exploiting pervasive computing technologies. Furthermore, we provide an insightful recommendation on the need of a holistic methodological framework, specifically tailored for addressing the Industry 4.0 requirements, as well as the worker necessities.
2021
Istituto di informatica e telematica - IIT
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
Inglese
Proceedings - 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021
7th International Conference on Distributed Computing in Sensor Systems (DCOSS)
512
519
8
Sì, ma tipo non specificato
14-16/07/2021
Pafos, Cyprus
Internet of Things
Industry 4.0
COVID-19
pandemic
manufacturing
worker mobility
4
restricted
P Raptis, T; Terkaj, W; Passarella, A; Conti, M
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
File in questo prodotto:
File Dimensione Formato  
prod_459977-doc_179197.pdf

solo utenti autorizzati

Descrizione: Pervasive Computing for Safe Distancing and Production Optimization in Manufacturing
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.45 MB
Formato Adobe PDF
1.45 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/442591
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 1
social impact