Sustainability has been always recognised as a critical factor for the future of our society and the recent advancement in the technology domain can help in achieving sustainable operations. In this paper, the benefits related to data gathering, real-time analysis and optimization are specifically emphasised. A discrete-event simulation model has been proposed as a first step towards sustainable production scheduling in a textile manufacturing industry. The model is designed to be feed in the next future with real-time data, gathered form IoT technologies. It has been proved that the simulation supports the company in reducing setup, increase productivity and avoid resource wasting.

(2021). Applying simulation for sustainable production scheduling: A case study in the textile industry . Retrieved from http://hdl.handle.net/10446/201858

Applying simulation for sustainable production scheduling: A case study in the textile industry

Pirola, Fabiana;Zambetti, Michela Giuseppina;Cimini, Chiara
2021-01-01

Abstract

Sustainability has been always recognised as a critical factor for the future of our society and the recent advancement in the technology domain can help in achieving sustainable operations. In this paper, the benefits related to data gathering, real-time analysis and optimization are specifically emphasised. A discrete-event simulation model has been proposed as a first step towards sustainable production scheduling in a textile manufacturing industry. The model is designed to be feed in the next future with real-time data, gathered form IoT technologies. It has been proved that the simulation supports the company in reducing setup, increase productivity and avoid resource wasting.
chiara.cimini@unibg.it
2021
Inglese
IFAC-PapersOnLine
Monostori, László; Kádár, Botond; Szaller, Ádám;
54
1
373
378
cartaceo
online
Netherlands
Amsterdam
Elsevier B.V.
INCOM 2021: 17th IFAC Symposium on Information Control Problems in Manufacturing, Budapest, Hungary, 7-9 June 2021;
17
Budapest (Hungary)
7-9 June 2021
Settore ING-IND/17 - Impianti Industriali Meccanici
Data-driven; Industry 4.0; Simulation; Sustainable operations;
info:eu-repo/semantics/conferenceObject
3
Pirola, Fabiana; Zambetti, Michela Giuseppina; Cimini, Chiara
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2021). Applying simulation for sustainable production scheduling: A case study in the textile industry . Retrieved from http://hdl.handle.net/10446/201858
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