Simulation based manufacturing system improvement focusing on capacity and mrp decisions — A practical case from mechanical engineering

Peirleitner, Andreas J.; Altendorfer, Klaus; Felberbauer, Thomas

doi:10.1109/wsc.2017.8248098

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…To reduce bottlenecks and increase the responsiveness of the production line, control strategies are often planned and validated using material flow simulation [5]. To this end, simulation has proven to be useful as a form of validating or refuting possible measures for the improvement of processes in a company [6,7]. The use of simulations for material flow analysis in this instance ultimately helps in the evaluation and planning of the material flow [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation-Based Decision Support System to Improve Material Flow of a Textile Company

et al. 2021

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To remain competitive, companies must continuously improve the processes at hand, be they administrative, production, or logistics. The objective of the study described in this paper was to develop a decision-making tool based on a simulation model to support the production of knits and damask fabrics. The tool was used to test different control strategies for material flow, from the raw material warehouse to the finished product warehouse, and thus can also be used to evaluate the impacts of these strategies on the productivity. The data upon which the decision support tool was built were collected from five sectors of the plant: the raw material warehouse, knit production, damask production, finishing work, and the finished product warehouse. The decision support tool met the objectives of the project, with all five strategies developed showing positive results. Knit and damask production rates increased by up to 8% and 44%, respectively, and a reduction of 75% was observed in the waiting time on the point of entry to the finishing work area, compared to the company’s existing system.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation-Based Decision Support System to Improve Material Flow of a Textile Company

et al. 2021

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“…Peirleitner, Andreas J; Altendorfer, Klaus; Felberbauer, Thomas (2017) [17] presentan un caso práctico de una empresa austriaca de ingeniería mecánica. La mejora del sistema de fabricación basada en simulación se aplica a una planta de fabricación de componentes.…”

Section: Introduccionunclassified

Estimación del Costo de Un Producto Incluyendo Su Distribución al Cliente en Condiciones de Incertidumbre

Moya¹

2018

Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Educat

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Resumen-El costo unitario de un producto es una dimensión que hay que considerar, para que las empresas generen una ventaja competitiva. Existen diversos procedimientos estandarizados para calcular ese costo. Uno de tales procedimientos es el costo estándar. Sin embargo, este método determina el costo de un producto basado en ciertas condiciones de demanda, eficiencia, entorno económico y de otros factores, lo que produce que cada vez que alguna de esas condiciones cambie, el costo unitario de los productos también cambie. El modelado de simulación es una herramienta que contribuye significativamente a la determinación del costo unitario de un producto cada vez que alguna de las condiciones enumeradas anteriormente presente variaciones a través del proceso de planificación de la producción. El objetivo de este trabajo es presentar una metodología para determinar el patrón de probabilidad del costo unitario de un producto mediante simulación desde que el proceso de planificación de los requerimientos de capacidad (CRP) comienza hasta su distribución al cliente final. Esta distribución de probabilidad les servirá a las empresas para apoyar el proceso de toma de decisiones conociendo el valor más probable del costo unitario del producto hasta un valor pesimista del costo, con sus respectivas probabilidades asociadas.

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Automated generation of simulation model in context of industry 4.0

Schlecht

Guio

Köbler

2023

International Journal of Modelling and Simulation

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Simulation based manufacturing system improvement focusing on capacity and mrp decisions — A practical case from mechanical engineering

Cited by 3 publications

References 13 publications

Simulation-Based Decision Support System to Improve Material Flow of a Textile Company

Simulation-Based Decision Support System to Improve Material Flow of a Textile Company

Estimación del Costo de Un Producto Incluyendo Su Distribución al Cliente en Condiciones de Incertidumbre

Automated generation of simulation model in context of industry 4.0

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