Application of discrete event simulation to the activity based costing of manufacturing systems

Spedding, Trevor A; Sun, Guangbiao

doi:10.1016/s0925-5273(98)00204-7

Cited by 102 publications

(53 citation statements)

References 4 publications

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“…Está centrado en el aspecto cuantitativo y cualitativo de la «actividad», antes que en el centro de costo, departamento, sección o estructura organizativa [47]. Los pasos del costeo basado en la actividad [48] se sintetizan en: definir los objetivos de costos; asignar centros de costos (optativo); definir criterios para la distribución de costos indirectos; generar la distribución de costos indirectos por centro de costos; identificar actividades por centro de costos, los diagramas IDEF0 permiten hacerlo [49], [50], [51]; asignar costos a cada actividad; en la Figura 9, se muestran el conjunto de entradas y salidas de la unidad funcional.…”

Section: Figura 8 Notación Gráfica De Idef0unclassified

Modelo De Procesos Para La Automatización Del Área De Producción en El Sector De La Industria Cementera Pública Del Ecuador (Mpic)

Guzmán

Chacón

Delgado

2016

ings

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Forma sugerida de citación: Cordero, D.; Chacón, E.; Sañay, I. y Criollo, D. (2016). «Modelo de procesos para la automatización del área de producción en el sector de la industria cementera pública del Ecuador (MPIC)». Ingenius. N.• 16, (Julio-Diciembre). pp. 51-63. ISSN: 1390-650X. Resumen AbstractEl integrar sistemas en la industria cementera es un requerimiento inminente, para lograrlo es necesario disponer de las herramientas metodológicas idóneas. El objetivo del artículo se orienta a proponer un marco metodológico que involucre aspectos técnicos, modelado de procesos de producción e integración con el resto de procesos del negocio. Se hace uso del paradigma holónico para modelar los procesos de producción mediante sus actividades y un conjunto de herramientas para la generación del esquema de integración el mismo que está basado en el holón Unidad de Producción.

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Section: Figura 8 Notación Gráfica De Idef0unclassified

Modelo De Procesos Para La Automatización Del Área De Producción en El Sector De La Industria Cementera Pública Del Ecuador (Mpic)

Guzmán

Chacón

Delgado

2016

ings

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“…However, no quantitative results and the structure of the model used are given. Spedding and Sun (1999) highlighted the affinity between ABC and DES. They implemented various case studies using WITNESS (Witness 1996) (a visually interactive simulation software) for PCA production.…”

Section: Related Workmentioning

confidence: 99%

“…Quality issues in terms of manufacturing defects is one of the major concerns in printed circuit assembly 1 (PCA) manufacturing since they increase the product lead time and cost and can decrease product reliability (Dusek and Hunt 2003) due to extra activities during detection and further elimination of the defects. Although some software tools have been developed to support this problem (Palaniswami and Hassan 1988;Senechal and Tahon 1998;Spedding and Sun 1999;Chan and Spedding 2001;Chan and Spedding 2003;Siemiatkowski and Przybylski 2006;Tan, Shen et al 2007), they fail to cover the complete range of issues i.e. time, cost and reliability.…”

Section: Introductionmentioning

confidence: 99%

Integrated simulation tool for quality support in the low-volume high-complexity electronics manufacturing domain

Quintero

West

Segura-Velandia

et al. 2008

International Journal of Production Research

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“…By conducting a simulation, using accurate model will reduce and eliminate the risk associated with their new investment. Many of researchers [1][2][3][4][5][6] try to use different simulation approaches to support this claim. Most of the industries based on discrete events nature.…”

Section: Introductionmentioning

confidence: 99%

Productivity improvement using discrete events simulation

Hazza

Elbishari

Ismail

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The increasing in complexity of the manufacturing systems has increased the cost of investment in many industries. Furthermore, the theoretical feasibility studies are not enough to take the decision in investing for that particular area. Therefore, the development of the new advanced software is protecting the manufacturer from investing money in production lines that may not be sufficient and effective with their requirement in terms of machine utilization and productivity issue. By conducting a simulation, using accurate model will reduce and eliminate the risk associated with their new investment. The aim of this research is to prove and highlight the importance of simulation in decision-making process. Delmia quest software was used as a simulation program to run a simulation for the production line. A simulation was first done for the existing production line and show that the estimated production rate is 261 units/day. The results have been analysed based on utilization percentage and idle time. Two different scenarios have been proposed based on different objectives. The first scenario is by focusing on low utilization machines and their idle time, this was resulted in minimizing the number of machines used by three with the addition of the works who maintain them without having an effect on the production rate. The second scenario is to increase the production rate by upgrading the curing machine which lead to the increase in the daily productivity by 7% from 261 units to 281units.

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Application of discrete event simulation to the activity based costing of manufacturing systems

Cited by 102 publications

References 4 publications

Modelo De Procesos Para La Automatización Del Área De Producción en El Sector De La Industria Cementera Pública Del Ecuador (Mpic)

Modelo De Procesos Para La Automatización Del Área De Producción en El Sector De La Industria Cementera Pública Del Ecuador (Mpic)

Integrated simulation tool for quality support in the low-volume high-complexity electronics manufacturing domain

Productivity improvement using discrete events simulation

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