21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Berlin (Germany). 11-17 julio 2020
Summary:
Distributed manufacturing systems represent a new paradigm in the industrial context, supported by new technologies provided by industry 4.0. In this paper, a model for dynamic allocation of Production Orders (PO) in the context of distributed additive manufacturing systems is proposed. The scheduling model performs a local optimization of PO allocation considering a production times forecasting model, fed by system state data obtained by means of an IoT platform, and transportation real-time data. A simulation-based experiment was conducted in a test case with real and simulated data collected from an elevator spare parts provider in Brazil. A significant reduction of 77.94% of the Average Waiting Time (AWT) was obtained, allowing for an increased efficiency of the additive manufacturing system, which supports the forthcoming pilot application.
Keywords: Decentralized; distributed control; job; activity scheduling; Internet-of-Things; Sensing Enterprise
DOI: 
https://doi.org/10.1016/j.ifacol.2020.12.2832
Publication date: July 2020.
Citation:
Sousa Agostino, I.R., Morosini Frazzon, E., Gomes Soares Alcalá, S., Tavares Vieira Basto, J.P., Taboada Rodriguez, C.M., Dynamic production order allocation for distributed additive manufacturing, 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Berlin (Germany). 11-17 July 2020.
IIT-20-290C
