Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector
This work shows the potential of the Discrete-Event Simulation -DES- in a software modeling process applied to business decision making, using a descriptive methodology in a productive process of a manufacturing plastic bags company. The analysis identified the process characteristics and built a si...
- Autores:
-
Troncoso Palacio, Alexander
Sanchez, A
Gonzalez, v
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7122
- Acceso en línea:
- https://hdl.handle.net/11323/7122
https://repositorio.cuc.edu.co/
- Palabra clave:
- Simulation method
Discrete events
Plastics industry
- Rights
- openAccess
- License
- CC0 1.0 Universal
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Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| title |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| spellingShingle |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector Simulation method Discrete events Plastics industry |
| title_short |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| title_full |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| title_fullStr |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| title_full_unstemmed |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| title_sort |
Discrete events simulation method for analyze cycle time: a case study in the plastics industry sector |
| dc.creator.fl_str_mv |
Troncoso Palacio, Alexander Sanchez, A Gonzalez, v |
| dc.contributor.author.spa.fl_str_mv |
Troncoso Palacio, Alexander Sanchez, A Gonzalez, v |
| dc.subject.spa.fl_str_mv |
Simulation method Discrete events Plastics industry |
| topic |
Simulation method Discrete events Plastics industry |
| description |
This work shows the potential of the Discrete-Event Simulation -DES- in a software modeling process applied to business decision making, using a descriptive methodology in a productive process of a manufacturing plastic bags company. The analysis identified the process characteristics and built a simulated model in Arena® software. Simulation shown variability in the process greater than 50% in the cycle time, which negatively affects the economic interests of the company, impacting opportunities to supply the market risking its position with other companies in the sector. The method implemented in the present work allows to know the critical points of the process, evaluate them and project a path to obtain the optimal or most viable solution, and propose modifications rising up the probability of success of any improvement plan. This makes any economic investment or locative change a desition-making quantitative supported. |
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2020 |
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2020-09-23T15:28:57Z |
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2020-09-23T15:28:57Z |
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2020 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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1757-8981 1757-899X |
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https://hdl.handle.net/11323/7122 |
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doi:10.1088/1757-899X/844/1/012063 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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1757-8981 1757-899X doi:10.1088/1757-899X/844/1/012063 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
| dc.relation.references.spa.fl_str_mv |
[1] Fedesarrollo 2014 Productividad y competitividad del Sistema de Ciudades (Bogotá). [2] ANDI 2015. [En línea]. Available: http://www.andi.com.co/Uploads/Estrategia%20para%20una%20nueva%20industrializacion. pdf. [3] ANDI 2017. [En línea]. Available: http://www.andi.com.co/Uploads/estrategia-para-unanueva-industrializacion-ii.pdf. [4] DANE 2018 dane.gov.co, Junio 2018. [En línea]. Available: http://www.dane.gov.co/files/investigaciones/boletines/pib/bol_PIB_IItrim18_producion_y_g asto.pdf. [5] Revista Dinero 2018 Las reformas que pide el sector plástico al presidente Duque, Industria, 13 08 2018. [6] Niranjan S 2017 A study of remanufacturing system in presence of unreliable supply of new products (Las Vegas, NV, USA: Winter Simulation Conference WSC) pp. 3459-3470 [7] Alvarez Rangel M A 2017 Simulación de un Sistema de Rollos para el Área de Corte (Lerma, Edo.de México) [8] Medina P and Arrieta K Simulación de eventos discretos para optimizar recursos restrictivos del servicio de urgencias de un hospital (Cartagena, Colombia Revista Científica Teknos, vol. 13, nº 1) pp. 55-66, 2013 [9] Raznick E and Chatfield D C 2017 Information blackout in a multi-echelon supply chain simulation (Las Vegas, NV, USA: Winter Simulation Conference WSC) [10] Herrera O J and Becerra L A 2014 Diseño General de las Etapas de Simulación de Procesos con Énfasis en el análisis de Entrada (Guayaquil Ecuador). [11] Ortiz Barrios M.A., Escorcia Caballero J., Sánchez Sánchez F. 2015 A Methodology for the Creation of Integrated Service Networks in Outpatient Internal Medicine. In: Bravo J., Hervás R., Villarreal V. (eds) Ambient Intelligence for Health. AmIHEALTH 2015. Lecture Notes in Computer Science, vol 9456. Springer, Cham (Puerto Varas, Chile) pp. 247-257 [12] Shawki K, Kilani K and Gomaa M Analysis of earth-moving systems using discrete-event simulation (Alexandria Engineering Journal) pp. 533-540 [13] Troncoso-Palacio A, Neira-Rodado D, Ortíz-Barrios M, Jiménez-Delgado G, HernándezPalma H 2018 Using Discrete-Event-Simulation for Improving Operational Efficiency in Laboratories: A Case Study in Pharmaceutical Industry. (Shangai China Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science, vol 10942. Springer, Cham) pp. 440-451 [14] Kelton W D, Sadowski R P and Sturrock D T 2008 Simulation with Arena (Nueva York: Editorial McGrawHill) [15] Rabe M and Scheidler A A 2014 An approach for increasing the level of accuracy in Supply Chain simulation by using patterns on input data (Savannah, GA Winter Simulation Conference WSC) [16] Kotachi M 2016 A Modeling and Simulation Platform for Evaluating Optimization Methods in Container Terminals (Arlington, VA, USA: Winter Simulation Conference) |
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Corporación Universidad de la Costa |
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IOP Conference Series: Materials Science and Engineering |
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Troncoso Palacio, AlexanderSanchez, AGonzalez, v2020-09-23T15:28:57Z2020-09-23T15:28:57Z20201757-89811757-899Xhttps://hdl.handle.net/11323/7122doi:10.1088/1757-899X/844/1/012063Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This work shows the potential of the Discrete-Event Simulation -DES- in a software modeling process applied to business decision making, using a descriptive methodology in a productive process of a manufacturing plastic bags company. The analysis identified the process characteristics and built a simulated model in Arena® software. Simulation shown variability in the process greater than 50% in the cycle time, which negatively affects the economic interests of the company, impacting opportunities to supply the market risking its position with other companies in the sector. The method implemented in the present work allows to know the critical points of the process, evaluate them and project a path to obtain the optimal or most viable solution, and propose modifications rising up the probability of success of any improvement plan. This makes any economic investment or locative change a desition-making quantitative supported.Troncoso Palacio, Alexander Humberto-will be generated-orcid-0000-0001-6034-695X-600Sanchez, AGonzalez, vengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2IOP Conference Series: Materials Science and Engineeringhttps://iopscience.iop.org/article/10.1088/1757-899X/844/1/012063Simulation methodDiscrete eventsPlastics industryDiscrete events simulation method for analyze cycle time: a case study in the plastics industry sectorArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Fedesarrollo 2014 Productividad y competitividad del Sistema de Ciudades (Bogotá).[2] ANDI 2015. [En línea]. Available: http://www.andi.com.co/Uploads/Estrategia%20para%20una%20nueva%20industrializacion. pdf.[3] ANDI 2017. [En línea]. Available: http://www.andi.com.co/Uploads/estrategia-para-unanueva-industrializacion-ii.pdf.[4] DANE 2018 dane.gov.co, Junio 2018. [En línea]. Available: http://www.dane.gov.co/files/investigaciones/boletines/pib/bol_PIB_IItrim18_producion_y_g asto.pdf.[5] Revista Dinero 2018 Las reformas que pide el sector plástico al presidente Duque, Industria, 13 08 2018.[6] Niranjan S 2017 A study of remanufacturing system in presence of unreliable supply of new products (Las Vegas, NV, USA: Winter Simulation Conference WSC) pp. 3459-3470[7] Alvarez Rangel M A 2017 Simulación de un Sistema de Rollos para el Área de Corte (Lerma, Edo.de México)[8] Medina P and Arrieta K Simulación de eventos discretos para optimizar recursos restrictivos del servicio de urgencias de un hospital (Cartagena, Colombia Revista Científica Teknos, vol. 13, nº 1) pp. 55-66, 2013[9] Raznick E and Chatfield D C 2017 Information blackout in a multi-echelon supply chain simulation (Las Vegas, NV, USA: Winter Simulation Conference WSC)[10] Herrera O J and Becerra L A 2014 Diseño General de las Etapas de Simulación de Procesos con Énfasis en el análisis de Entrada (Guayaquil Ecuador).[11] Ortiz Barrios M.A., Escorcia Caballero J., Sánchez Sánchez F. 2015 A Methodology for the Creation of Integrated Service Networks in Outpatient Internal Medicine. In: Bravo J., Hervás R., Villarreal V. (eds) Ambient Intelligence for Health. AmIHEALTH 2015. Lecture Notes in Computer Science, vol 9456. Springer, Cham (Puerto Varas, Chile) pp. 247-257[12] Shawki K, Kilani K and Gomaa M Analysis of earth-moving systems using discrete-event simulation (Alexandria Engineering Journal) pp. 533-540[13] Troncoso-Palacio A, Neira-Rodado D, Ortíz-Barrios M, Jiménez-Delgado G, HernándezPalma H 2018 Using Discrete-Event-Simulation for Improving Operational Efficiency in Laboratories: A Case Study in Pharmaceutical Industry. (Shangai China Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science, vol 10942. Springer, Cham) pp. 440-451[14] Kelton W D, Sadowski R P and Sturrock D T 2008 Simulation with Arena (Nueva York: Editorial McGrawHill)[15] Rabe M and Scheidler A A 2014 An approach for increasing the level of accuracy in Supply Chain simulation by using patterns on input data (Savannah, GA Winter Simulation Conference WSC)[16] Kotachi M 2016 A Modeling and Simulation Platform for Evaluating Optimization Methods in Container Terminals (Arlington, VA, USA: Winter Simulation Conference)PublicationORIGINALDiscrete Events Simulation Method for Analyze Cycle Time. A Case Study in the Plastics Industry Sector.pdfDiscrete Events Simulation Method for Analyze Cycle Time. 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