Dispatching method based on particle swarm optimization for make-to-availability
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Dispatching method based on particle swarm optimization for make-to-availability Robson Flavio Castro1 · Moacir Godinho-Filho1 · Roberto Fernandes Tavares-Neto1 Received: 5 June 2020 / Accepted: 29 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords Make-to-availability · Dispatching rule · Particle swarm optimization · Metaheuristic · Mean flow time · Setup time
Introduction Some structural keystones are required to design a manufacturing system; one of the most important is identifying how the enterprise will deliver products to clients. This is known as the fulfill demand strategy. Two main strategy branches for fulfilling the demand of production systems are widely adopted in manufacturing systems: the first is referred to as make-to-order, which produces goods according to a set of client orders. The existence of client orders is a common premise in production scheduling literature, as Author thank CNPq (Process 407104/2016-0), FAPESP (Process 2016/01860-1) and CAPES (Financing Code 001) for funding part of this research.
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Roberto Fernandes Tavares-Neto [email protected] Robson Flavio Castro [email protected] Moacir Godinho-Filho [email protected]
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Department of Industrial Engineering, Federal University of São Carlos – UFSCAR, São Carlos, Brazil
seen in the study by Baker and Trietsch (2009). The second is based on maintaining or establishing the stock levels of produced goods and is used a premisse for lot-sizing planning approaches (Jans and Degraeve 2008; Drexl and Kimms 1997). This strategy is known as make-to-stock. The make-to-availability (MTA) strategy is derived from make-to-stock and aims to ensure the availability of products by providing rapid stock replenishement, without a formal method of demand forecasting. The MTA was proposed whilst developing the simplified drum buffer rope (S-DBR), a production control system based on the foundations of the theory of constr
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