Dispatching Method Based on Particle Swarm Optimization for Make-to-Availability

R.F. Castro, Moacir Godinho Filho () and R.F. Tavares-Neto
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Moacir Godinho Filho: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: Make-to-availability (MTA) is a subtype of make-to-stock that emerged from production, planning, and control system, simplified drum-buffer-rope (S-DBR). The dispatching production order logic of the MTA does not consider the elements present in a wide range of manufacturing systems, such as sequence-dependent setup time. These characteristics generally creates difficulties in the S-DBR, thereby worsening performance indicators, such as mean flow time, setup time, and stock replenishment frequency. Given this research gap, the present study aims to develop a dispatching method for production orders in MTA, based on the particle swarm optimization (PSO) metaheuristic. The dispatching method aims to minimize the mean flow time, setup time, and stock levels in environments with a dependent setup time. To evaluate the performance of the new dispatching method, we used computational simulation to compare this method and the MTA dispatching logic. The results showed that the PSO for sequence achieved better performance, reducing the mean flow time, setup time, and stock level. \textcopyright 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: Computation theory; Computational simulation; Computer circuits; Constraint theory; Dispatching methods; Dispatching rule; Drum-buffer-rope; Make-to-availability; Manufacture; Mean flow time; Metaheuristic; Particle swarm optimization; Particle swarm optimization (PSO); Performance indicators; Production order; Sequence-dependent setup time; Setup time (search for similar items in EconPapers)
Date: 2022
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Published in Journal of Intelligent Manufacturing, 2022, 33 (4), pp.1021--1030. ⟨10.1007/s10845-020-01707-6⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04279956

DOI: 10.1007/s10845-020-01707-6

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