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Publication
Improving materials flow through autonomous production control
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Advisor(s)
Abstract(s)
Autonomous Production Control (APC) aims at improving production systems performance
through fast and flexible reaction to changes in dynamic environments. In this paper, a new
APC method for job routing decision-making is proposed and its performance compared with
that of two other APC methods, namely the Queue Length Estimator and the Pheromones, and
with two conventional control strategies – a centralized and a random decision-making strategy.
A discrete-event simulation model of a flexible flow shop operating under make-to-order was
used to evaluate performance. Results show that the new method outperforms those with
which it was compared, under high system workload and high variability of orders’ arrival and
operation times. The study gives a contribution for better understanding of the performance
behavior of APC methods, having important implications for industrial practice and for future
research on autonomous production control.
Description
“This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Industrial and Production Engineering on 30-05-2018, available online: http://www.tandfonline.com/10.1080/21681015.2018.1479895.”
Keywords
Autonomous production control Flexible flow shops Simulation
Pedagogical Context
Citation
FERNANDES, Nuno; MARTINS, Tiago; SILVA, Sílvio Carmo (2018) - Improving materials flow through autonomous production control. Journal of Industrial and Production Engineering. ISSN: 2168-1023. Vol. 35, nº 5. p, 319-327
Publisher
Taylor & Francis