Development of a simulation model as a decision support system for sugarcane supply

Bocanegra-Herrera, Claudia Cristina; Holguín, Carlos Julio Vidal

doi:10.15446/dyna.v83n198.52719

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…To answer that question, decision-makers need to use tools and/or models to represent the system to analyze the different options available in the design and management of a production line. A model makes it possible for an administrator to understand how each one of the system's variables relates to each other and minimize the associated uncertainty by proposing changes in the operating conditions subject to randomness [2,3].…”

Section: Introductionmentioning

confidence: 99%

Buffer allocation problem in a shoe manufacturing line: A metamodeling approach

Vázquez

Hernández-González

Vázquez

et al. 2021

Rev.Fac.Ing.Univ.Antioquia

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Footwear production is subject to the variability inherent in any process, and producers often need to apply tools that allow them to make the right decisions. This work documents the process to optimize the buffer allocation in a shoe manufacturing line minimizing the cycle time in the system, applying a metamodeling approach. It was found that the Front sewing operation, and the interaction between the Lining sewing operation and the assembly operation have the greatest effect on the flow time of the product within the process; the optimum assignment of spaces follows a non-uniform arrangement on the line saturating the slower stations; the cycle time follows a non-linear behavior vs. the total number of spaces (N) in the line. For a certain value of N, the cycle time reaches a minimum value.

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Section: Introductionmentioning

confidence: 99%

Buffer allocation problem in a shoe manufacturing line: A metamodeling approach

Vázquez

Hernández-González

Vázquez

et al. 2021

Rev.Fac.Ing.Univ.Antioquia

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Improving Fresh Fruit Bunches Unloading Process at Palm Oil Mills with Discrete-Event Simulation

Racedo-Gutiérrez

Collazos-Morales

Gómez-Rueda

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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Palm oil industry is an important agricultural activity in Colombia. Agents of this industry have chosen associative strategies and vertical integrations to increase their efficiency. However, reducing logistics costs to compete with countries such as Thailand and Malaysia, is still a challenge, also due to the scarceness of applied research in the palm oil logistics processes. In this paper, we present a continuous-discrete simulation-based approach to evaluate and optimize the fresh fruit bunches unloading process at the mill. Two simulation models representing the current process and alternative process scenarios were developed and compared. The findings show that important improvements in waiting time and supplier satisfaction can be achieved without major investments.

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