Dimensionamento de lotes em fundições de pequeno porte com múltiplos fornos

Toledo, Franklina Maria Bragion de; Camargo, Victor Claudio Bento de; Oliveira, Nathan P. B.; Tonaki, Viviane S.

doi:10.5151/mathpro-cnmai-0114

Cited by 1 publication

(5 citation statements)

References 8 publications

(4 reference statements)

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“…The waste is caused by allocating alloys to be melted in smaller quantities than the furnace capacity. The MFA1 model showed an average waste of 8.20% of furnace capacity across all instances, which is slightly worse than the average 6.98% waste obtained by the model of Toledo et al (2014).…”

Section: Discussioncontrasting

confidence: 57%

“…The model evaluation compares the main aspects and differences between the proposed model and the models proposed by Araujo, Arenales and Clark (2004) and Toledo et al (2014). Moreover, they verify which one best fits the data of the foundry studied.…”

Section: Model Evaluationmentioning

confidence: 64%

“…An approach using multiple non-simultaneous furnaces is proposed by Toledo et al (2014), who present a mixed integer programming model for multiple furnaces in a foundry located in the interior of São Paulo. A linear programming model with multiple kilns and an objective function to maximize the average efficiency of the kilns is presented and solved by Park (2013).…”

Section: Theoretical Foundationmentioning

confidence: 99%

“…Computational tests were performed to find the best performance of the models proposed by Araujo, Arenales and Clark (2004), Toledo et al (2014) The results of waste in the furnace are presented in Table 6, in kilograms and as a percentage of waste. Waste indicates the volumes and the percentages of unfilled furnaces.…”

Section: Model Evaluationmentioning

confidence: 99%

“…Silva and Morabito (2004) address the issue of multiple parallel furnaces. Toledo et al (2014) proposed a mixed integer programming model for multiple alternating furnaces. Thus, it is important to treat multiple furnaces as this is a relevant point for foundries.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Mathematical modeling to optimize production planning and scheduling in a small foundry with multiple alternating furnaces

Bertulucci¹,

Alves²,

Camargo³

2021

GEPROS

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Purpose - This study presents an extension to a model in the literature for lot-sizing and scheduling in a small foundry with multiple alternate furnaces. The purpose of the model is to minimize delays and inventory costs. In addition, it determines the best use of the load capacity in the furnaces. Theoretical framework – Lot-sizing in foundries in the marketplace is a subject of academic interest due to its applicability and mathematical and computational complexity. Many papers address the production problem in foundries with a single furnace, however, few papers address the possibility of multiple furnaces. Design/methodology/approach - Mathematical modeling was used to represent the lot-sizing and scheduling problem in a small foundry. Data from the company's order books were collected and model validation questionnaires were applied. Findings - The extended model was able to generate good production plans at different planning horizons, with better performance than the current methods obtained by the company. Originality/value - the extension of the model contributes to the literature by addressing the existence of multiple non-simultaneous furnaces, a feature that has not been greatly explored. A comparison with other models is performed to indicate the most suitable model for actual application. Keywords: Alloys scheduling. Foundry. Lot size. Mixed integer programming.

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Section: Discussioncontrasting

confidence: 57%

Section: Model Evaluationmentioning

confidence: 64%